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Hi, I'm a Senior ML Engineer with 8 years of hands-on experience in AI, focusing on NLP, computer vision, and time-series analysis. I design, build, and deploy end-to-end ML solutions that scale, with a strong emphasis on observability, reliability, and user impact. I enjoy turning complex data into practical products and collaborating with cross-functional teams to bring AI-powered features to production. In my work, I thrive on building scalable pipelines, exploring hybrid inference architectures, and advancing responsible AI practices. I also mentor teams, contribute to open-source projects, and stay curious about new tools like LangChain, RAG, and real-time streaming.…Hi, I'm a Senior ML Engineer with 8 years of hands-on experience in AI, focusing on NLP, computer vision, and time-series analysis. I design, build, and deploy end-to-end ML solutions that scale, with a strong emphasis on observability, reliability, and user impact. I enjoy turning complex data into practical products and collaborating with cross-functional teams to bring AI-powered features to production. In my work, I thrive on building scalable pipelines, exploring hybrid inference architectures, and advancing responsible AI practices. I also mentor teams, contribute to open-source projects, and stay curious about new tools like LangChain, RAG, and real-time streaming.

Muhammad Ahmi

AI Engineer, Data Scientist, Developer, +7

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Hi, I'm a Senior ML Engineer with 8 years of hands-on experience in AI, focusing on NLP, computer vision, and time-series analysis. I design, build, and deploy end-to-end ML solutions that scale, with a strong emphasis on observability, reliability, and user impact. I enjoy turning complex data into practical products and collaborating with cross-functional teams to bring AI-powered features to production. In my work, I thrive on building scalable pipelines, exploring hybrid inference architectures, and advancing responsible AI practices. I also mentor teams, contribute to open-source projects, and stay curious about new tools like LangChain, RAG, and real-time streaming.…Hi, I'm a Senior ML Engineer with 8 years of hands-on experience in AI, focusing on NLP, computer vision, and time-series analysis. I design, build, and deploy end-to-end ML solutions that scale, with a strong emphasis on observability, reliability, and user impact. I enjoy turning complex data into practical products and collaborating with cross-functional teams to bring AI-powered features to production. In my work, I thrive on building scalable pipelines, exploring hybrid inference architectures, and advancing responsible AI practices. I also mentor teams, contribute to open-source projects, and stay curious about new tools like LangChain, RAG, and real-time streaming.

Available to hire

Hi, I’m a Senior ML Engineer with 8 years of hands-on experience in AI, focusing on NLP, computer vision, and time-series analysis. I design, build, and deploy end-to-end ML solutions that scale, with a strong emphasis on observability, reliability, and user impact. I enjoy turning complex data into practical products and collaborating with cross-functional teams to bring AI-powered features to production.

In my work, I thrive on building scalable pipelines, exploring hybrid inference architectures, and advancing responsible AI practices. I also mentor teams, contribute to open-source projects, and stay curious about new tools like LangChain, RAG, and real-time streaming.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Language

English

Fluent

Korean

Advanced

Work Experience

Senior Machine Learning Engineer at ESS

June 1, 2022 - Present

Developed autonomous conversational systems and domain-specific automation frameworks; designed scalable LLM deployment strategies using hybrid inference pipelines; built RAG architectures with LangChain integrated across OpenAI, Vertex AI (Gemini), and Anthropic Claude with observability via LangSmith. Created high-throughput embedding pipelines using OpenAI Embedding-002, migrated from MongoDB to Elasticsearch and Pinecone for efficient semantic search. Deployed real-time, API-driven backends for RAG with WebSocket streaming; automated vector-embedding workflows using Voyage AI and Cloudflare Workers; deployed autonomous orchestration modules on Google Cloud Run with crew AI. Built resilient CI/CD pipelines via GitHub Actions, Cloud Run, and Cloud Build for production-grade deployments. Implemented speaker identification/diarization using advanced acoustic DL models optimized for noisy, overlapping audio; designed Korean TTS, speech emotion recognition, and speech enhancement framewo

Senior Machine Learning Engineer at ESS

June 1, 2022 - Present

Developed autonomous conversational systems and domain-specific task automation frameworks; designed scalable LLM deployment strategies using hybrid inference pipelines; built retrieval-augmented generation architectures with LangSmith integration; created high-throughput embedding pipelines using OpenAI Embedding-002 and migrated data pipelines for efficient semantic search; deployed real-time ML backends with WebSocket-based streaming; implemented CI/CD pipelines with GitHub Actions, Cloud Run, and Cloud Build for production-grade deployments; engineered privacy-preserving audio processing and diarization pipelines; led Korean TTS, speech emotion recognition, and speech enhancement frameworks for real-time streaming apps; designed predictive modeling pipelines for water leak detection and meter forecasting using smart-meter time-series data; developed scalable data extraction pipelines with Scrapy and Selenium; trained and finetuned YOLOv5/Ultralytics for retail object detection; bui

Senior Machine Learning Engineer at ESS

June 1, 2022 - Present

Developed autonomous conversational systems and domain-specific automation frameworks; designed scalable LLM deployment strategies; built RAG architectures with LangChain across OpenAI, Gemini, Claude; created embedding pipelines; deployed FastAPI-driven backends with real-time streaming; automated vector embedding workflows; deployed orchestration on Google Cloud Run; built CI/CD pipelines; implemented speaker identification/diarization, TTS and emotion recognition; privacy-preserving audio processing; designed predictive pipelines for water leakage detection and meter freeze forecasting; engineered scalable data extraction pipelines (Scrapy, Selenium); trained and finetuned YOLO v5/Ultralytics models for retail object detection; improved classification accuracy via feature engineering.

Senior Machine Learning Engineer at ESS

June 1, 2022 - Present

Developed autonomous conversational systems and domain-specific task automation frameworks; designed scalable LLM deployments using hybrid inference pipelines across OpenAI, Vertex AI, and Claude, with LangChain observability. Implemented real-time embedding pipelines and search architectures (Elasticsearch/Pinecone) for scalable retrieval; built end-to-end ML systems with streaming data, CI/CD pipelines, and microservices; prototyped speaker identification/diarization, privacy-preserving audio processing, and time-series predictive pipelines; deployed ML solutions in AWS with resilience and horizontal scalability; prototyped video intelligence and real-time object detection using YOLOv5 and OpenCV.

Senior Machine Learning Engineer at ESS

June 1, 2022 - Present

Developed AI calling agents and agentic models tailored for niche domains, optimizing for task-specific performance and compute efficiency. Designed scalable production-ready large language model integration strategies using hybrid approaches to reduce costs and latency. Built Retrieval-Augmented Generation (RAG) systems with LangChain, integrating with OpenAI, Vertex AI (Gemini), and Claude, with observability via LangSmith. Created full-text embedding pipelines migrating from MongoDB to Elasticsearch and Pinecone for better vector search. Developed FastAPI backend services with real-time streaming via WebSockets. Automated embeddings and deployed AI agents on Google Cloud Run. Built CI/CD pipelines for deployment. Designed speaker recognition, diarization systems, Korean Text-to-Speech models, speech emotion recognition, and speech enhancement for real-time use. Built privacy pipelines for audio data, predictive models for smart meter analytics, and scalable scraping pipelines. Train

Machine Learning Engineer

May 31, 2022 - September 29, 2025

Optimized YOLO v5 and Ultralytics models for retail object detection, achieving higher recall and precision in product recognition tasks. Led end-to-end ML lifecycle processes for training, evaluation, and benchmarking; automated end-to-end ML pipelines; built scalable data ingestion architectures and migration to cloud-based workflows. Designed and prototyped real-time object detection video analysis with OpenCV; created video analytics demos for live intelligence. Developed dedicated ML components for privacy and redaction; built real-time alert systems. Built end-to-end ML life cycle pipelines for production deployments; integrated with MLOps tooling for CI/CD.

AI/ML Engineer at Bahaji Consulting

May 31, 2022 - August 1, 2025

Trained and fine-tuned YOLOv5 and Ultralytics models improving object detection for retail product recognition. Used VGG16 to enhance classification accuracy. Designed automated pipelines to speed up training and testing and improve reproducibility. Built structured data pipelines and deployed scalable ML services via FastAPI, Docker, Pydantic, and PostgreSQL. Utilized Celery, Redis, and RabbitMQ for distributed background task management. Deployed microservices architecture on AWS EC2 and integrated real-time communication through sockets for interactive system features.

AI Engineer at Freelance / Independent

May 2, 2022 - September 29, 2025

Led end-to-end ML projects including real-time fraud detection and NLP/AI interfaces; designed and deployed fraud-detection platforms using XGBoost and deep learning, with streaming pipelines (Kafka, Spark); built production ML pipelines with FastAPI, Docker, and Kubernetes; delivered NLP/conversational interfaces using LangChain and RAG; implemented model governance, monitoring, and versioning for robust deployments.

Senior Machine Learning Engineer at Ultralytics / YOLOv5 (Freelance)

May 1, 2022 - September 29, 2025

Optimized YOLOv5 and Ultralytics models for retail object detection, achieving higher recall and precision; built end-to-end ML lifecycles for training, evaluation, and benchmarking; automated pipelines for data ingestion; deployed real-time inferencing via WebSockets; implemented privacy-preserving audio processing; developed Korean TTS, speech emotion recognition, and speech enhancement frameworks for streaming applications.

Computer Vision & AI Engineer at Complya

June 30, 2019 - August 1, 2025

Designed advanced object tracking and re-identification systems for sports using Siamese networks, CLIP, and Vision Transformer architectures. Enhanced feature discrimination with color histograms and custom ball detection models. Annotated pose datasets and trained YOLO-Pose models for swimmer motion analysis, applying OpenCV techniques to count strokes and evaluate athlete performance. Built proof of concept using Twelve Labs API for automated video data insights. Engineered real-time object detection and tracking pipelines, optimizing processing speed from 5 FPS to 33 FPS using InceptionV2 and Keras classifiers.

Computer Vision Engineer at FDA-compliant Medical Imaging AI Platform (Project)

June 1, 2019 - September 29, 2025

Led design of deep learning pipelines for tumor segmentation and cancer detection; integrated into clinical workflows with explainable AI (Grad-CAM); built real-time detection and clinical-grade CV solutions; prototyped video intelligence systems and ensured FDA compliance; designed end-to-end production-grade ML pipelines and data management for medical imaging.