I am a Computer Science and Engineering student and aspiring machine learning engineer with hands-on experience building AI-powered applications, retrieval-augmented generation systems, and production-oriented machine learning pipelines.
I work with Python, SQL, machine learning frameworks, large language models, transformers, natural language processing, and agentic AI workflows. My interests include building reliable AI systems that combine retrieval, evaluation, orchestration, and backend services.
I have developed projects using LangChain, LangGraph, FastAPI, vector databases, graph databases, OpenAI APIs, and AWS. I enjoy designing multi-agent applications, RAG and GraphRAG pipelines, API services, authentication flows, and automated deployment processes.
I also have experience with MLOps practices, including data versioning, experiment tracking, CI/CD, Docker containerization, Kubernetes deployment, monitoring, and model promotion workflows. My projects have involved deploying machine learning and AI applications on AWS infrastructure.
I have contributed to research publications in graph neural networks, transformers, remaining useful life prediction, multilingual text analysis, and sentiment analysis. I am motivated to continue growing as an AI and machine learning professional through challenging engineering and research-focused opportunities.
Developed RESTful API endpoints for an AI-powered drawing application. The application supported canvas-based drawing, prompt-based image generation through the OpenAI API, and image editing capabilities.
Implemented a backend-proxy pattern to keep API credentials secure on the server side. Connected the application to a Microsoft SQL Server database and containerized the API, frontend, and database using Docker Compose under senior developer guidance.
Bachelor of Science, Computer Science and Engineering
Higher Secondary School Certificate, Science
This professional hasn’t added portfolio projects yet.
This professional hasn’t listed any services yet.
