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I'm a senior AI/ML engineer with 7+ years of experience in NLP, speech processing, LLMs, and computer vision. I design, deploy, and optimize AI models, build scalable backend architectures, and integrate advanced AI frameworks into production systems. I work with FastAPI, Flask, MongoDB, and AWS to deliver reliable solutions, and I thrive on enhancing AI efficiency—reducing processing time and improving model accuracy through fine-tuning and optimization techniques.…I'm a senior AI/ML engineer with 7+ years of experience in NLP, speech processing, LLMs, and computer vision. I design, deploy, and optimize AI models, build scalable backend architectures, and integrate advanced AI frameworks into production systems. I work with FastAPI, Flask, MongoDB, and AWS to deliver reliable solutions, and I thrive on enhancing AI efficiency—reducing processing time and improving model accuracy through fine-tuning and optimization techniques.

Mike Nyles

AI Engineer, Data Scientist, Full Stack Developer, +4

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I'm a senior AI/ML engineer with 7+ years of experience in NLP, speech processing, LLMs, and computer vision. I design, deploy, and optimize AI models, build scalable backend architectures, and integrate advanced AI frameworks into production systems. I work with FastAPI, Flask, MongoDB, and AWS to deliver reliable solutions, and I thrive on enhancing AI efficiency—reducing processing time and improving model accuracy through fine-tuning and optimization techniques.…I'm a senior AI/ML engineer with 7+ years of experience in NLP, speech processing, LLMs, and computer vision. I design, deploy, and optimize AI models, build scalable backend architectures, and integrate advanced AI frameworks into production systems. I work with FastAPI, Flask, MongoDB, and AWS to deliver reliable solutions, and I thrive on enhancing AI efficiency—reducing processing time and improving model accuracy through fine-tuning and optimization techniques.

Available to hire

I’m a senior AI/ML engineer with 7+ years of experience in NLP, speech processing, LLMs, and computer vision. I design, deploy, and optimize AI models, build scalable backend architectures, and integrate advanced AI frameworks into production systems.

I work with FastAPI, Flask, MongoDB, and AWS to deliver reliable solutions, and I thrive on enhancing AI efficiency—reducing processing time and improving model accuracy through fine-tuning and optimization techniques.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

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Expert

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Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

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Expert

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Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Language

English

Fluent

Work Experience

Senior AI/ML Engineer at Xquic

February 28, 2022 - October 22, 2025

Developed and deployed NLP models for text analysis and sentiment classification; optimized backend for AI workloads; improved model accuracy by 30%; reduced speech recognition error rates by 25%; designed Retrieval-Augmented Generation (RAG) pipelines to boost search relevance by 35%; built scalable AI-backed backend solutions using FastAPI and vector databases to handle 1M+ queries per month; enhanced 3D scene reconstruction models increasing object detection accuracy by 20%; led automation initiatives reducing manual data processing by 50% via intelligent scraping; deployed containerized ML models on AWS Lambda, cutting cloud costs by 30%; integrated LLMs (OpenAI, LLaMA, Hugging Face) into enterprise applications, enabling streaming AI workflows.

AI Research Engineer at Deep Fusion

May 1, 2020 - October 22, 2025

Engineered NLP and speech processing models for enterprise applications; boosted text classification accuracy by 20%; developed custom semantic search embeddings reducing retrieval time by 45%; designed AI-powered bots increasing automation efficiency by 50%; enhanced 3D layout reconstruction using depth estimation, improving spatial accuracy by 30%; integrated AI with cloud services ensuring 99.9% uptime for production deployments.

Python Developer at Apex Solutions

January 1, 2018 - October 22, 2025

Developed scalable Django web applications, ensuring 99% client satisfaction; built front-end components with HTML, CSS, and JavaScript; optimized ETL pipelines for seamless data migration; tuned MySQL and MongoDB queries, improving database efficiency by 20%.

Senior AI/ML Engineer at Pixol LLC

April 1, 2022 - Present

Developed and deployed NLP models for text analysis and sentiment classification, improving accuracy by 30%. Led scalable AI-driven backend solutions using FastAPI and vector databases, handling 1M+ queries per month. Integrated AI workloads into enterprise apps and contributed to cloud-based deployments with AWS.

Senior AI/ML Engineer at Xquic (Remote)

February 1, 2022 - October 22, 2025

Built and fine-tuned custom LLMs for chatbot applications, increasing user engagement by 40%. Automated AI-powered tooling to accelerate data extraction, reducing extraction time by 60%. Integrated vision-enabled components for enhanced data interaction in enterprise apps.

AI Research Engineer at Deep Fusion

May 1, 2020 - October 22, 2025

Engineered NLP and speech processing models for enterprise applications, boosting text classification accuracy by 20%. Developed embeddings for semantic search, reducing retrieval time by 45%. Designed AI-powered bots increasing automation efficiency by 50%. Enhanced 3D layout reconstruction using depth estimation and integrated cloud-ready AI solutions with high uptime.

Python Developer at Apex Solutions

January 1, 2018 - October 22, 2025

Developed scalable Django web applications, ensuring high client satisfaction. Built front-end components, optimized ETL pipelines, and tuned MySQL/MongoDB queries to improve database efficiency by 20%.

Senior AI/ML Engineer at Pixol LLC

April 1, 2022 - Present

Led development and deployment of NLP models for text analysis and sentiment classification, achieving up to 30% accuracy gains. Optimized speech recognition pipelines (Whisper, Wav2Vec2, TTS) reducing error rates by 25%. Designed Retrieval-Augmented Generation (RAG) pipelines to improve search relevance by 35%. Built scalable AI backend solutions processing 1M+ queries per month and enhanced 3D scene reconstruction object detection accuracy by 20%. Automated data workflows and containerized deployments on AWS Lambda, cutting cloud costs by 30%. Integrated LLMs (OpenAI, Hugging Face) into enterprise apps to streamline AI workflows.

AI/ML Engineer at Xquic (Remote)

February 1, 2022 - October 22, 2025

Built and fine-tuned custom LLMs for chatbot applications, increasing user engagement by 40%. Developed AI-powered automation tools reducing data extraction time by 60%. Integrated vision models for 3D image reconstruction, improving feature detection precision by 25%. Deployed multi-modal AI solutions improving data retrieval efficiency by 50%. Optimized AI pipelines with FastAPI and vector databases handling 1M+ queries/month.

AI Research Engineer at Deep Fusion

May 1, 2020 - October 22, 2025

Engineered NLP and speech processing models for enterprise apps, boosting text classification accuracy by 20%. Developed custom embeddings for semantic search, reducing retrieval time by 45%. Designed AI-powered bots increasing automation efficiency by 50%. Enhanced 3D layout reconstruction using depth estimation, improving spatial accuracy by 30%. Integrated AI with cloud services, ensuring 99.9% uptime for production deployments.

Python Developer at Apex Solutions (Remote)

January 1, 2018 - October 22, 2025

Developed scalable Django web applications, ensuring 99% client satisfaction. Built front-end components with HTML, CSS, and JavaScript, improving user experience. Optimized ETL pipelines for seamless data migration and tuned MySQL and MongoDB queries, improving database efficiency by 20%.

Senior AI/ML Engineer at Xquic

February 1, 2022 - October 22, 2025

Built and fine-tuned custom LLMs for chat bot applications, increasing user engagement by 40%. Developed AI-powered automation tools, reducing data extraction time by 60%. Integrated vision models for 3D image reconstruction, improving feature detection precision by 25%. Deployed multi-modal AI solutions, enhancing data retrieval efficiency by 50%. Optimized AI pipelines, reducing latency by 35% with efficient vector search implementation. Optimized NLP tasks using modern tools, reducing inference latency by 40%. Created a risk-assessment application using NLP and OpenCV, improving workplace safety by 20%.

AI/ML Engineer at Pixolat LLC

April 1, 2022 - Present

Designed and deployed NLP models for text analysis and sentiment classification, improving accuracy by 30%. Optimized speech recognition systems, reducing error rates by 25% using Whisper, Wav2Vec2, and TTS. Designed Retrieval-Augmented Generation (RAG) pipelines, enhancing search relevance by 35%. Built scalable AI-driven backend solutions using FastAPI and vector databases, handling 1M+ queries/month. Enhanced 3D scene reconstruction models, increasing object detection accuracy by 20%. Led automation projects, reducing manual data processing efforts by 50% through intelligent scraping solutions. Deployed containerized ML models with AWS Lambda, cutting cloud costs by 30%. Integrated LLMs (OpenAI, Llama, Hugging Face) into enterprise apps, streaming AI workflows.

AI Research Engineer at Deep Fusion

May 1, 2020 - October 22, 2025

Engineered NLP and speech processing models for enterprise applications, boosting text classification accuracy by 20%. Developed custom embeddings for semantic search, reducing retrieval time by 45%. Designed AI-powered bots, increasing automation efficiency by 50%. Enhanced 3D layout reconstruction using depth estimation, improving spatial accuracy by 30%. Integrated AI with cloud services, ensuring 99.9% uptime for production deployments.

Python Developer at Apex Solutions

January 1, 2018 - October 22, 2025

Developed scalable Django web apps, ensuring 99% client satisfaction. Built front-end components with HTML, CSS, JavaScript, improving user experience. Optimized ETL pipelines for seamless data migration. Tuned MySQL and MongoDB queries, improving database efficiency by 20%.

Senior AI/ML Engineer at Xquic (Remote)

February 1, 2022 - February 1, 2022

Built and fine-tuned custom LLMs for chatbot applications, increasing user engagement by 40%; developed AI-powered automation tools, reducing data extraction time by 60%; integrated vision models for 3D image reconstruction, improving feature detection precision by 25%; deployed multi-modal AI solutions, enhancing data retrieval efficiency by 50%; optimized AI pipelines reducing latency by 35%; improved NLP inference latency by 40%; designed a risk-assessment NLP/OpenCV-based application improving workplace safety by 20%.

AI Research Engineer at Deep Fusion

May 1, 2020 - May 1, 2020

Engineered NLP and speech processing models for enterprise applications, boosting text classification accuracy by 20%; developed custom embeddings for semantic search, reducing retrieval time by 45%; designed AI-powered bots, increasing automation efficiency by 50%; enhanced 3D layout reconstruction using depth estimation, improving spatial accuracy by 30%; integrated AI with cloud services, ensuring 99.9% uptime for production deployments.

Python Developer at Apex Solutions

January 1, 2018 - January 1, 2018

Developed scalable Django web apps, ensuring 99% client satisfaction; built front-end components with HTML, CSS, and JavaScript, improving user experience; optimized ETL pipelines for seamless data migration; tuned MySQL and MongoDB queries, improving database efficiency by 20%.

Senior AI/ML Engineer at Pixolat LLC

April 20, 2022 - November 17, 2025

Developed and deployed NLP models for text analysis and sentiment classification, improved accuracy by 30%. Optimized speech recognition systems, reduced error rates by 25% using Whisper, Wav2Vec2, and TTS. Designed Retrieval-Augmented Generation (RAG) pipelines, enhancing search relevance by 35%. Built scalable AI-driven backend solutions using FastAPI and vector databases, handling 1M+ queries/month. Enhanced 3D scene reconstruction models, increasing object detection accuracy by 20%. Led automation projects, reducing manual data processing by 50%. Deployed containerized ML models with AWS Lambda, cutting cloud costs by 30%. Integrated LLMs into enterprise apps, streaming AI workloads.

AI/ML Engineer at Xquic

February 1, 2022 - February 1, 2022

Built and fine-tuned custom LLMs for chatbot applications, increasing user engagement by 40%. Developed AI-powered automation tools, reducing data extraction time by 60%. Integrated vision models for 3D image reconstruction, improving feature detection precision by 25%. Deployed multi-modal AI solutions, enhancing data retrieval efficiency by 50%. Optimized AI pipelines, reducing latency by 35% with efficient vector search implementation. Improved NLP tasks by reducing inference latency by 40%. Created a risk-assessment application using NLP and OpenCV, improving workplace safety by 20%.

Senior AI/ML Engineer at Pixolat LLC

April 1, 2022 - November 17, 2025

Developed and deployed NLP models for text analysis and sentiment classification, improving accuracy by 30%. Optimized speech recognition systems, reducing error rates by 25% using Whisper, Wave2Vec2, and TTS. Designed retrieval-augmented generation pipelines, enabling more relevant search results. Built scalable AI-driven backend solutions using FastAPI and vector databases, handling 1M+ queries per month. Enhanced 3D scene reconstruction models, increasing object detection accuracy by 20%. Led automation initiatives, reducing manual data processing by 50% through intelligent scraping. Deployed containerized ML models with AWS Lambda, cutting cloud costs by 30%. Integrated LLMs (OpenAI, LLaMA, HuggingFace) into enterprise applications to streamline AI workflows.

AI/ML Engineer at Xquic (Remote)

February 1, 2022 - February 1, 2022

AI/ML Engineer at Xquic (Remote)

June 1, 2020 - February 1, 2022

Built and fine-tuned custom LLMs for chatbot applications, increasing user engagement. Developed AI-powered automation tools, reducing data extraction time. Integrated vision models for 3D image reconstruction, improving feature detection precision. Deployed multi-modal AI solutions to boost data retrieval efficiency. Optimized AI pipelines to reduce latency with vector search implementations and modern NLP tooling.

AI Research Engineer at Deep Fusion

February 1, 2018 - May 1, 2020

Engineered NLP and speech processing models for enterprise applications, boosting text classification accuracy. Developed custom embeddings for semantic search, reducing retrieval time. Designed AI-powered bots to increase automation efficiency. Enhanced 3D layout reconstruction using depth estimation to improve spatial accuracy. Integrated AI with cloud services to ensure high uptime in production deployments.

Python Developer at Apex Solutions

January 1, 2017 - January 1, 2018

Developed scalable Django web applications with strong front-end components (HTML, CSS, JavaScript). Optimized ETL pipelines for seamless data migration. Tuned MySQL and MongoDB queries, improving database efficiency by 20%.

Senior AI/ML Engineer at Xquic (Remote)

June 1, 2020 - February 1, 2022

Built and fine-tuned custom LLMs for chatbot applications, boosting user engagement by 40%. Developed AI-powered automation tools, reducing data extraction time by 60%. Integrated vision models for 3D image reconstruction, improving feature detection precision by 25%. Deployed multi-modal AI solutions, increasing data retrieval efficiency by 50%. Optimized AI pipelines, reducing latency by 35% with efficient vector search. Improved NLP task latency by 40% via modern tooling. Designed risk-assessment NLP/OpenCV solution to improve workplace safety by 20%.

Python Developer at Apex Solutions (Remote)

January 1, 2017 - January 1, 2018

Developed scalable Django web applications with emphasis on user experience; built front-end components with HTML, CSS, JavaScript; optimized ETL pipelines for seamless data migration; tuned MySQL and MongoDB queries to improve database efficiency by 20%.

Senior AI/ML Engineer

April 1, 2022 - Present

Led end-to-end AI system development for NLP, speech processing and CV/ML pipelines, delivering production-ready models, scalable backends with FastAPI and vector databases, and 1M+ monthly queries. Improved 3D scene reconstruction and object detection accuracy, reduced cloud costs via containerization and serverless deployments, and integrated multiple LLMs into enterprise workflows.

AI Engineer at Xquic

June 1, 2020 - February 1, 2022

Built and fine-tuned custom LLMs for chatbot applications, increasing user engagement; developed AI-powered automation tools for faster data extraction, and implemented vision models for 3D image reconstruction with robust production deployments.

Senior AI/ML Engineer at Alpha Sense

June 1, 2020 - February 1, 2022

Built and fine-tuned custom LLMs for chatbot applications; automated data extraction/tooling to reduce processing time; integrated vision models for 3D image reconstruction; deployed multi-modal AI solutions improving data retrieval efficiency by 50%.

AI/ML Engineer at Broadcom

February 1, 2018 - May 1, 2020

Engineered NLP and speech processing models for enterprise applications; developed custom embeddings for semantic search reducing retrieval time by 45%; designed AI-powered bots increasing automation efficiency by 50%; enhanced 3D layout reconstruction and ensured 99.9% uptime for production deployments.

Lead AI/ ML Engineer at Pixolat LLC

April 1, 2022 - December 1, 2025

Led end-to-end NLP/ML initiatives for enterprise applications. Developed and deployed NLP models for text analysis and sentiment classification, achieving a 30% accuracy improvement. Built scalable backend pipelines using FastAPI and vector databases (Milvus, ChromaDB), handling 1M+ queries per month. Integrated retrieval-augmented generation (RAG) pipelines and multi-LLM orchestration to improve search relevance by 35%. Deployed containerized services on AWS and implemented MLOps practices to cut deployment time and costs.

Senior AI/ ML Engineer at Alpha Sense

June 1, 2020 - February 1, 2022

Built and fine-tuned custom LLMs for chatbot applications, increasing user engagement by 40%. Drove AI-powered automation tools that reduced data extraction time by 60%. Integrated vision models for 3D image reconstruction, improving feature detection precision by 25%. Enabled enterprise AI adoption by streaming AI workloads into production and improving uptime.

AI/ ML Engineer at Broadcom

February 1, 2018 - May 1, 2020

Engineered NLP and speech processing models for enterprise applications, boosting text classification accuracy by 20%. Developed embeddings for semantic search, reducing retrieval time by 45%. Designed AI-powered bots to automate repetitive workflows, increasing automation efficiency by 50%. Enhanced 3D layout reconstruction using depth estimation to improve spatial accuracy by 30%. Integrated cloud services to ensure 99.9% uptime for production deployments.

AI/ ML Engineer at Pixolat LLC

April 20, 2022 - December 20, 2025

Led end-to-end AI initiatives for NLP, sentiment analysis, and production-ready ML deployments. Developed and deployed NLP models for text analysis and sentiment classification, achieving notable accuracy gains. Optimized speech-recognition pipelines using Whisper, Wav2Vec 2.0, and TTS, reducing error rates. Architected Retrieval-Augmented Generation (RAG) pipelines to improve search relevance. Built scalable backend solutions with FastAPI and vector databases to handle 1M+ queries per month. Enhanced 3D scene reconstruction models, increasing object-detection accuracy. Directed automation projects that cut manual data processing by half through intelligent scraping. Deployed containerized ML models with AWS Lambda, reducing cloud costs. Integrated multiple LLMs into enterprise apps to streamline AI workflows.

Lead AI/ML Engineer at Pixolat LLC

April 1, 2022 - December 1, 2025

Built scalable AI-driven backend solutions using FastAPI and vector databases, handling 1M+ queries per month. Enhanced 3D scene reconstruction models and vision capabilities. Implemented retrieval-augmented generation pipelines to improve search relevance by 35%. Deployed containerized ML models on AWS Lambda and cloud services, reducing infra costs by 30%. Integrated OpenAI, Llama, and Hugging Face LLMs into enterprise apps and streamlined AI workflows.