Applied AI Engineer · ML · LLMs · Backends
I'm an Applied AI Engineer building production-grade AI systems— multi-model orchestration, RAG pipelines, and distributed backends — for engineering teams shipping real products.
Currently a Summer Intern at EY, building internal treasury tooling and AI-assisted workflow automation.
Apr 2026 – Present
Summer Intern @ EY
Building toolkits for internal treasury platforms and AI-assisted workflow automation.
Jan 2026 – Mar 2026
ML Intern @ VertexPlus Technologies
Developed an end-to-end YOLO-based fire detection pipeline spanning dataset engineering, model training, validation, and performance optimization.
Dec 2025 – Jan 2026
Winter Intern @ Dotsquares
Built agentic AI workflows using LangGraph, LangChain, and RAG architectures, enabling stateful multi-turn reasoning, document-grounded responses, and reusable LLM application development.
Multi-model AI consensus platform
Consults a council of open-source LLMs in parallel, measures inter-model agreement, preserves dissenting viewpoints, and synthesizes answers only when meaningful consensus exists.
YouTubeGPT
Video-grounded RAG for YouTube Q&A
Video-grounded RAG for YouTube Q&A
Full-stack GenAI application that ingests YouTube transcripts, indexes dense embeddings in ChromaDB, and serves context-aware answers through a REST API with structured evidence display.
GitGallery
GitHub-backed photo vault
GitHub-backed photo vault
Desktop application that repurposes GitHub repositories as a photo storage backend with OAuth authentication, thumbnail generation, multithreaded synchronization, and folder organization.
2023 - Present
B.Tech in Computer and Communication Engineering
@ Manipal University Jaipur
YOLOv8 road defect detector trained from scratch
End-to-end computer vision pipeline for pothole, crack, and manhole detection — dataset curation, bounding box annotation, augmentation, training, validation, and inference with no pretrained weights.