Associate Data Scientist at Winmore (2025-01 – Present)
Designed and deployed RESTful API services and MLOps pipelines, implemented RAG backend services with GenAI capabilities, and leveraged cloud services for scalable data processing.
- Designed and deployed RESTful API services in Python to serve ML model predictions for logistics optimization, integrating with PostgreSQL and MongoDB backends; applied data modeling and complex SQL joins across high-volume relational datasets, improving data retrieval speed by 50%.
- Built and maintained MLOps pipelines using GitHub Actions and Docker to automate model training, testing, and deployment workflows; implemented CI/CD automation scripts for monitoring and data pipeline orchestration, reducing manual intervention significantly.
- Implemented Retrieval-Augmented Generation (RAG) backend services using LangGraph and Azure AI Search, enabling agentic AI workflows with LLM-powered reasoning; built a React-based chat frontend to surface GenAI capabilities, handling streaming responses and multi-turn conversation state management end-to-end.
- Leveraged AWS (S3, Lambda) and Azure cloud services for scalable data storage and serverless compute; containerized services with Docker for reproducible deployments and used Spark for large-scale data processing across distributed pipelines.
Frontend Developer Intern at Prola Tech (2024-03 – 2024-07)
Built and optimized responsive web application interfaces with advanced security protocols and encryption techniques.
- Built and optimized responsive web application interfaces using HTML, CSS, and JavaScript; integrated advanced security protocols and encryption techniques, ensuring compliance with industry standards and reducing vulnerabilities by 30%.
