Designed and deployed ML pipelines for healthcare data analysis, automating patient insights and risk prediction. Fine-tuned LLMs for medical knowledge extraction using Hugging Face Transformers and OpenAI APIs. Built FastAPI-based inference services for real-time model predictions integrated into production APIs. Leveraged AWS S3, Lambda, and SageMaker for scalable training and deployment of models. Led integration of event-driven architecture (Kafka/RabbitMQ) for ML feature streaming. Developed internal monitoring dashboards with Prometheus + Grafana for model performance tracking. Wrote automated tests and validation scripts achieving 90%+ test coverage using Pytest.

Senior Software Engineer (Backend/ML Integration) at Devsinc

February 1, 2022 - August 1, 2024

Designed data collection APIs and ETL pipelines feeding machine learning models for analytics products. Implemented predictive analytics modules using Scikit-learn and Pandas for business insights. Integrated AI recommendation engines into Django/Flask microservices, improving engagement by 25%. Refactored legacy codebases, cutting latency by 40% and reducing technical debt across projects. Collaborated closely with ML scientists to productionize Jupyter notebooks into containerized REST services.

Software Engineer at KICS – UET

September 1, 2020 - February 1, 2022

Developed REST/GraphQL APIs and backend services using Django & Flask. Built and maintained data ingestion pipelines for analytics dashboards. Collaborated on initial ML prototypes for text classification and OCR, helping validate early research ideas. Migrated frontend from AngularJS to React improving performance by 30%. Gained solid foundation in backend design, testing (Pytest), and secure API development.