AI/ML Engineer | LLMs, RAG, Agentic AI, FastAPI

Building production-ready AI systems across LLMs, RAG, OCR, computer vision, and full-stack ML products.

Portfolio | GitHub | LinkedIn | Email | Jaipur, India

I build end-to-end AI and machine learning systems from data pipelines and model development to APIs, evaluation, and deployment. My work is centered on LLM applications, RAG systems, OCR and computer vision workflows, and backend services that turn ML into usable products.

Document QA RAG chatbot built with FastAPI, LangChain, and ChromaDB for document-grounded question answering with multi-provider model routing and tool calling.
Live demo: Hugging Face Space
Impact: Benchmark-driven evaluation reached Hit@3 and MRR@3 up to 1.00 in tested runs, with 27 passing CI tests.

Resume/JD matching and scoring system that generates JD-match, ATS-readiness, skill-gap, and section-level resume scores using NLP pipelines and sentence embeddings.
Live demo: Hugging Face Space
Impact: Validated against human-labeled evaluations with Pearson 0.949 and Spearman 0.818, with CI/CD coverage and 12 automated tests.

OCR and computer vision fitness platform combining nutrition-label extraction, YOLOv8-based workout-form analysis, and personalized nutrition and recovery recommendations in one deployed system.
Live demo: FitLife AI
Impact: Operationalized a multi-service architecture with Next.js, Flask APIs, Hugging Face Spaces, Neon Postgres, JWT authentication, persistent user profiles, and ML inference pipelines for OCR and vision workloads.

• Data Scientist Intern, Jaipur Development Authority (JDA) | Dec 2024 - May 2025
  • Automated Python analytical pipelines for 25,000+ municipal records, reducing manual analysis time by 30% and accelerating data-backed infrastructure planning.
  • Built LLM- and NLP-assisted classification workflows for 5,000+ citizen surveys and feedback forms, improving unstructured-data processing speed by 40%.
• Full Stack Web Developer, Tag11Softech | Jul 2023 - Dec 2023
  • Implemented scalable full-stack features and REST API endpoints serving 5,000+ daily requests, improving production reliability and backend-frontend integration.
  • Optimized API response paths and frontend rendering performance, reducing page load times by 25% and improving responsiveness.

• Core Stack: Python, SQL, LangChain, Streamlit, FastAPI
• ML and Deep Learning: scikit-learn, XGBoost, PyTorch, TensorFlow, Transformers, CNNs, RNNs, NLP
• AI Engineering: LLMs, RAG, Agentic AI, Embeddings, Vector Databases, Prompt Engineering
• Backend and Deployment: Docker, PostgreSQL, ChromaDB, MLflow, CI/CD, OCR, JWT, REST APIs

• JK Lakshmipat University (JKLU) | 2021 - 2025
  B.Tech, Computer Science and Engineering | Jaipur, Rajasthan
• Relevant Coursework: Machine Learning, Deep Learning, Natural Language Processing, Vector Databases, MLOps