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I am an innovative and results-driven ML/MLOps Engineer with over 8 years of hands-on experience designing, deploying, and optimizing AI/ML systems. I thrive in cross-functional settings delivering production-ready solutions that scale. I have proven success in NLP, CV, LLMs, Voice AI, and Generative AI, with expertise in AI agents with RAG pipelines, fine-tuning open-source models, and cloud-native deployments on AWS and Azure. I prioritize performance, scalability, and measurable impact on users.…I am an innovative and results-driven ML/MLOps Engineer with over 8 years of hands-on experience designing, deploying, and optimizing AI/ML systems. I thrive in cross-functional settings delivering production-ready solutions that scale. I have proven success in NLP, CV, LLMs, Voice AI, and Generative AI, with expertise in AI agents with RAG pipelines, fine-tuning open-source models, and cloud-native deployments on AWS and Azure. I prioritize performance, scalability, and measurable impact on users.

Moiz Ahmed

AI Engineer, Data Scientist, Programmer, +6

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I am an innovative and results-driven ML/MLOps Engineer with over 8 years of hands-on experience designing, deploying, and optimizing AI/ML systems. I thrive in cross-functional settings delivering production-ready solutions that scale. I have proven success in NLP, CV, LLMs, Voice AI, and Generative AI, with expertise in AI agents with RAG pipelines, fine-tuning open-source models, and cloud-native deployments on AWS and Azure. I prioritize performance, scalability, and measurable impact on users.…I am an innovative and results-driven ML/MLOps Engineer with over 8 years of hands-on experience designing, deploying, and optimizing AI/ML systems. I thrive in cross-functional settings delivering production-ready solutions that scale. I have proven success in NLP, CV, LLMs, Voice AI, and Generative AI, with expertise in AI agents with RAG pipelines, fine-tuning open-source models, and cloud-native deployments on AWS and Azure. I prioritize performance, scalability, and measurable impact on users.

Available to hire

I am an innovative and results-driven ML/MLOps Engineer with over 8 years of hands-on experience designing, deploying, and optimizing AI/ML systems. I thrive in cross-functional settings delivering production-ready solutions that scale.

I have proven success in NLP, CV, LLMs, Voice AI, and Generative AI, with expertise in AI agents with RAG pipelines, fine-tuning open-source models, and cloud-native deployments on AWS and Azure. I prioritize performance, scalability, and measurable impact on users.

Skills

Experience Level

Expert

Expert

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Expert

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Expert

Intermediate

Language

English

Fluent

Urdu

Advanced

Work Experience

Sr. AI Consultant at Vention

September 1, 2023 - Present

Led a team of machine learning professionals, providing strategic guidance and technical mentorship across NLP, computer vision, and data science. Designed and developed mission-critical ML models with robust testing and validation, created end-to-end model pipelines to improve operational efficiency, and implemented custom training frameworks for transformers, YOLO architectures, and CV models. Drove fine-tuning of large language models and vision transformers using transfer learning, automated annotation through intelligent labeling and active learning, and championed robust APIs and microservices for scalable AI solutions. Managed production deployments with real-time processing optimization and cost-efficient resource utilization.

Sr. AI Engineer at Amazon

September 1, 2023 - September 11, 2025

Led end-to-end ML projects, guiding data creation, preprocessing, model training, and deployment. Oversaw data collection, cleaning, and annotation to support high-performing models, designed robust preprocessing pipelines, and led fine-tuning and optimization of object detection models for improved recognition and tracking. Coordinated production deployments with cross-functional teams to ensure seamless integration and real-time processing.

Mid-level ML Developer at MindBridge

May 1, 2021 - September 11, 2025

Developed and executed test plans, identified defects, and wrote automated test scripts. Demonstrated strong analytical skills and collaboration within cross-functional teams to ensure hardware/software product quality and reliability.

Python Developer at Turn Hatch

June 1, 2018 - September 11, 2025

Contributed to software component development with a focus on verification and high-level programming design. Built automated verification scripts and tools, participated in code reviews, and helped with software system architecture and data processing tasks.

Sr. AI Consultant at Vention

September 1, 2023 - Present

Led a team of machine learning professionals, providing strategic guidance and technical mentorship across NLP, computer vision, and data science; designed and developed mission-critical ML models; built end-to-end pipelines; implemented fine-tuning for transformer and CV models; automated annotation with active learning; designed robust APIs and microservices; deployed solutions in production with optimized real-time processing and cost efficiency.

Sr. AI Engineer at Amazon

September 1, 2023 - September 11, 2025

Led end-to-end ML projects; managed data creation, preprocessing, model training, and deployment; built robust data pipelines; fine-tuned and optimized models for object detection and real-time processing; ensured seamless production integration across teams.

Mid-level ML Developer at MindBridge

May 1, 2021 - September 11, 2025

Developed test plans, debugged issues, wrote automated test scripts, and documented testing processes to ensure quality; collaborated with team to deliver reliable ML solutions.

Python Developer at Turn Hatch

June 1, 2018 - September 11, 2025

Contributed to software component development with emphasis on verification and high-level programming; implemented automated verification scripts; participated in code reviews; aided in software architecture and data processing.

Senior Machine Learning Engineer at Vention

September 1, 2023 - Present

Fine-tuned state-of-the-art models (BERT, Mistral 7B, Llama 2) for domain NLP tasks; built Retrieval-Augmented Generation (RAG) agents for enterprise knowledge retrieval. Developed a multilingual voice-based chatbot using STT (Whisper, Wav2Vec) and TTS (Bark, Tortoise). Created multi-modal pipelines for vision+language understanding in driving contexts. Led Phi-3-based academic chatbot with RAG and Text2SQL for structured queries; delivered production-grade chatbots and maintained CI/CD pipelines. Implemented real-time inference optimizations (TensorRT, ONNX Runtime, Triton) and built a model-monitoring dashboard; deployed and evaluated AWS Bedrock models.

Machine Learning Engineer at Amazon

September 1, 2023 - September 29, 2025

Researched and developed perception and sensor fusion algorithms for robotics using LiDAR, radar, and camera data; implemented SLAM, point-cloud processing, and object detection models (PyTorch/TensorFlow). Collaborated with robotics teams to integrate perception outputs, improving decision-making and reducing sensor noise. Scaled data processing pipelines on AWS + GCP with Spark, Ray, Dask, and Kafka; contributed to production AI efforts post-acquisition and mentored engineers on ML best practices.

Mid-level ML Developer at MindBridge

May 1, 2021 - September 29, 2025

Developed computer vision models for lane detection, object tracking, and scene segmentation; deployed production ML solutions on AWS (EC2, S3, SageMaker) with Docker, Kubernetes, and Terraform. Built distributed training and inference systems on GPU clusters (CUDA, NCCL, Triton, Ray, Horovod) and deployed services via Kubernetes. Created backend systems (FastAPI, Django, Flask) with REST, GraphQL, and gRPC, integrated with databases (PostgreSQL, MySQL, MongoDB). Built frontend dashboards (React) and optimized real-time data streaming with Kafka and Redis; automated CI/CD with GitHub Actions/Jenkins and contributed to data annotation pipelines and end-to-end data infra.

Python Developer at Turn Hatch

June 1, 2018 - September 29, 2025

Delivered end-to-end AI/ML solutions for predictive analytics, NLP, and recommendation systems. Built a Loan Defaulter Prediction model using ensemble techniques and a Vehicle Recommendation Engine based on user behavior, improving predictive accuracy and user engagement.

Senior Machine Learning Engineer at Vention

September 1, 2023 - Present

Fine-tuned state-of-the-art ML models (BERT, Mistral 7B, Llama 2) for domain-specific NLP tasks; built AI agents with Retrieval-Augmented Generation (RAG) for dynamic enterprise knowledge; developed a multilingual voice-based AI chatbot with real-time STT/TTS; built multi-modal pipelines for scene understanding and natural language querying in driving contexts; led development of an academic chatbot using Phi-3 (SLM) with RAG and Text2SQL; delivered production-grade chatbots and Text2SQL systems; mentored engineers on system architecture, distributed computing, and secure API development; applied real-time inference optimizations (TensorRT, ONNX Runtime, Triton) for edge deployment; built a monitoring dashboard; deployed AWS Bedrock models including Claude 2, Titan, and Llama-2-70B-chat; managed CI/CD pipelines.

Senior Machine Learning Engineer at Amazon

September 30, 2023 - September 29, 2025

Researched and developed 3D perception and sensor fusion algorithms for robotics using LiDAR, radar, and camera data; implemented SLAM, point cloud processing, and object detection pipelines; built deep learning perception models with PyTorch/TensorFlow for object recognition in dynamic urban environments; collaborated with robotics teams to integrate perception outputs and reduce sensor noise; scaled data processing pipelines for large-scale datasets with Spark, Ray, Dask, and Kafka; contributed to cross-functional teams, mentoring on ML best practices, data engineering, and production software development post-acquisition.

Mid-level ML Developer at MindBridge

May 1, 2021 - September 29, 2025

Developed computer vision models for lane detection, object tracking, and scene segmentation; deployed ML models to production on AWS (EC2, S3, Lambda, SageMaker) using Docker, Kubernetes, and Terraform; engineered distributed training and inference systems on GPU clusters (CUDA, NCCL, Triton, Ray, Horovod); created backend systems in Python (FastAPI, Django, Flask, Celery) and frontend dashboards; built data pipelines with Kafka, Redis Streams, and Airflow; enhanced trust and safety through adversarial robustness testing, bias/fairness evaluation, red-teaming, and content moderation; built AI-driven data annotation pipelines.

Python Developer at Turn Hatch

June 1, 2018 - September 29, 2025

Extracted and processed large datasets using Python, Pandas, and NumPy; delivered end-to-end AI/ML solutions for predictive analytics, NLP, and recommendation systems; developed a Loan Defaulter Prediction model using ensemble techniques for financial risk profiling; built a Vehicle Recommendation Engine driven by user behavior data to boost engagement and conversions.

Senior Machine Learning Engineer at Vention

September 1, 2023 - Present

Fine-tuned state-of-the-art ML models, including BERT, Mistral 7B, and Llama 2, for custom NLP solutions, improving accuracy by 30% in domain-specific tasks. Built AI Agents using Retrieval-Augmented Generation (RAG) with fine-tuned LLMs for dynamic enterprise knowledge retrieval. Developed a multilingual voice-based AI chatbot (STT: Whisper, Wav2Vec; TTS: Bark, Tortoise) for real-time, natural user interaction. Created multi-modal pipelines (vision + language) with BLIP, Flamingo, LLaVA-style architectures for scene understanding and natural language querying of driving context. Led an academic chatbot using Phi-3 (SLM) with RAG over unstructured documents and integrated Text2SQL for structured academic queries. Delivered production-grade chatbots and Text2SQL systems using GPT-3.5/4 and prompt engineering. Mentored engineers on system architecture and secure API development. Applied real-time inference optimizations with TensorRT, ONNX Runtime, Triton Inference Server to reduce laten

Machine Learning Engineer at Amazon

September 1, 2023 - September 29, 2025

Researched and developed 3D perception and sensor fusion algorithms for robotics using LiDAR, radar, and camera data. Implemented SLAM, point cloud processing, and object detection pipelines using C++, Python, ROS, and OpenCV to improve real-time localization accuracy. Built deep learning–based perception models with PyTorch and TensorFlow, integrating CNNs for object recognition in dynamic urban environments. Collaborated with robotics teams to integrate perception outputs, improving decision-making and reducing sensor noise. Scaled data processing pipelines for large-scale datasets with Spark, Ray, Dask, and Kafka, integrated into AWS + GCP cloud infra. Contributed to cross-functional teams, mentoring engineers on ML best practices, data engineering, and production software development, ensuring high-quality and scalable AI solutions post-acquisition.

ML Engineer at MindBridge

May 1, 2021 - September 29, 2025

Developed computer vision models for lane detection, object tracking, and scene segmentation using CNNs, OpenCV, PyTorch, improving perception accuracy in real-world applications. Deployed ML models to production on AWS (EC2, S3, Lambda, SageMaker) using Docker, Kubernetes, and Terraform, enabling scalable model serving. Engineered distributed training and inference systems on GPU clusters (CUDA, NCCL, Triton Inference Server, Ray, Horovod) deployed via Kubernetes, Docker, and Helm, ensuring high availability and low-latency response times. Created backend systems in Python (FastAPI, Django, Flask, Celery) with RESTful APIs, GraphQL APIs, and gRPC microservices, integrated with PostgreSQL, MySQL, MongoDB, DynamoDB, Redis. Built frontend tools in React, Next.js, TypeScript, Redux, Material UI, TailwindCSS to support AI demos, realtime dashboards, and annotation platforms. Optimized real-time data streaming and event-driven systems using Apache Kafka, Redis Streams, and WebSockets, enabl

Python Developer at Turn Hatch

June 1, 2018 - September 29, 2025

Extracted and processed large datasets using Python, Pandas, and NumPy, improving model prediction accuracy by 15%. Delivered multiple end-to-end AI/ML solutions for global clients, focusing on predictive analytics, NLP, and recommendation systems. Developed a Loan Defaulter Prediction model using ensemble techniques, achieving high precision in financial risk profiling. Built a Vehicle Recommendation Engine using user behavior data, increasing user engagement and conversion.