Summary
AI/ML engineer with expertise in LLMs, RAG pipelines, and multi-agent systems, focused on building production-ready AI applications with backend integration.
Experience
Generative AI Developer
Park Intelli Solutions
September 2024 – April 2025
- Built advanced RAG pipelines with rank fusion and guardrails, achieving 92% faithfulness.
- Designed LangGraph multi-agent workflows and deployed FastAPI + React apps with Docker.
- Automated evaluation pipelines for RAG ensuring high context relevance and robustness.
AI/ML Developer
Digital Clinics
March 2024 – September 2024
- Fine-tuned YOLO models for biomarker detection (95% mAP) and tracked with MLflow.
- Deployed models via Dockerized FastAPI integrated into a React frontend for real-time inference.
- Built preprocessing pipelines for unstructured datasets to maximize throughput.
Skills
Languages
ML/AI
Frameworks/Tools
Cloud
Projects
AI Math Tutor Platform
Built LangGraph-based multi-agent tutor with hybrid retrieval (dense+BM25), rank fusion, and RAG. Deployed using Qdrant, LLaMA 4, FastAPI, React; added guardrails and MCP-based web search.
Synthetic Data Generation Platform
Developed CTGAN, StyleGAN3, and ESRGAN pipelines for synthetic data generation and augmentation. Designed configurable workflows addressing low-data scenarios and overfitting risks.
Medical Visual Question Answering (VQA)
Fine-tuned multimodal LLMs (IDEFICS-8B, LLaVA-7B) on PubMed VQA with LoRA and quantization. Achieved 42% and 38% semantic accuracy on transformer-based vision-language models.
Education
B.Tech, Computer Science (AI/ML)
Keshav Memorial Institute of Technology
May 2025
GPA: 8.03