Current Direction
I'm actively developing production-ready GenAI applications and model pipelines focused on multilingual NLP, retrieval quality, and reliability.
Building AI systems that understand documents, language, and context.
I build end-to-end AI workflows from model experimentation to deployable interfaces. My work combines document intelligence, RAG retrieval, and recommendation engines with practical product delivery and measurable quality improvement.
Core Expertise
Natural language processing, RAG with ChromaDB, prompt optimization, bias analysis, and recommendation system design.
Primary Stack
Python, TensorFlow, PyTorch, Scikit-learn, DSPy, HuggingFace, LangChain, LangGraph, Streamlit, SQL.
Industry Exposure
AI/ML Project Intern at Infosys Springboard and Machine Learning Intern at Ascendix IT — I've executed full lifecycle projects at both.
Flagship Build
I built a Document Intelligence Agent with GPT models and retrieval pipelines for structured document understanding and QA.
Education
Bachelor of Technology in Computer Science, SRM University Delhi-NCR, with strong coursework in ML, NLP, CV, and statistics.
Recognitions
Selected for Amazon ML Summer School 2025 among top applicants — completed advanced training in deep learning and big data.
Availability
Open to AI/ML engineering roles, research collaborations, and freelance model engineering projects.
2025-2026
Infosys Springboard — I built an end-to-end Document Intelligence Agent using GPT models, DSPy, Streamlit, and RAG with ChromaDB.
2025
Ascendix IT — I shipped a hybrid recommendation engine with collaborative plus content-based logic and a real-time evaluation UI.
2025
Amazon ML Summer School — I was selected from over 100,000 applicants for advanced ML learning and system design exposure.