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Athar Rizvi

@atharrizvi

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Senior Machine Learning Engineer - Python, GenAI, AWS

United States

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Seasoned Machine Learning Engineer with 13 years of experience designing and delivering scalable, production‑grade AI and data services. Proficient in Python and frameworks such as TensorFlow, PyTorch, scikit‑learn, and Hugging Face transformers, I’ve built end‑to‑end ML pipelines from data ingestion and feature engineering to model training, tuning, and monitoring leveraging AWS (S3, SageMaker, Lambda, ECS/EKS), Terraform, Docker, Kubernetes, and GitHub Actions. Skilled at containerizing microservices, orchestrating infrastructure as code, implementing CI/CD best practices, and ensuring observability with Prometheus, Grafana, and CloudWatch. Committed to writing clean, maintainable code and delivering reliable, high‑performance solutions.

Experience

Work history, roles, and key accomplishments

Senior Machine Learning Engineer

WeDo Technologies

Jun 2019 - May 2025 (5 years 11 months)

Built and deployed LLM, NLP, and ML solutions across Ollama, The Hartford, and LabCorp using Python, FastAPI, Terraform, Docker, and AWS (S3, ECS, EKS, Bedrock, SageMaker). Delivered RAG, summarization, and genomics pipelines with LangChain, OpenSearch, and TensorFlow, all monitored via Prometheus, Grafana, and CloudWatch.

Machine Learning Engineer

Tucker-Rose Associates

Sep 2014 - May 2019 (4 years 8 months)

At Amwell and Acorns, built ML pipelines and deployed models on AWS (ECS, Lambda, EMR), using Python, scikit-learn, XGBoost, and Spark. Delivered NLP, forecasting, recommendation, and fraud detection solutions. Automated CI/CD with Jenkins, ensured low-latency inference, and monitored model health via CloudWatch and Grafana.

Python Developer

Zoro

Jul 2012 - Aug 2014 (2 years 1 month)

At Zoro.com, built scalable Django REST APIs for catalog, inventory, and orders, enabling 3× traffic growth. Optimized MySQL queries, cutting latency by 80%. Used Celery + RabbitMQ for async tasks on 10GB+ data. Integrated Elasticsearch to boost search relevance by 25%. Automated AWS infra and halved server load with Redis caching and load balancing.