AI Engineer focused on designing and building agentic AI systems.
Currently working on multi-agent orchestration, retrieval-augmented generation (RAG), structured reasoning pipelines, and production-grade AI infrastructure.
Interested in the intersection of:
- Autonomous agents
- Retrieval systems
- Knowledge-augmented generation
- AI system architecture
AI Intern
Siemens DISW, Pune
Jun 2025 – Present
Designing and deploying AI systems with increasing focus on agentic workflows, multi-agent orchestration, and retrieval pipelines.
- Agentic AI system design
- Multi-agent orchestration (LangGraph-based workflows)
- Retrieval-Augmented Generation (RAG)
- Hybrid retrieval (vector + structured data)
- Tool-calling architectures
- Production AI deployment
Craft AI
Multi-agent AI coding system converting natural language requirements into structured software architectures.
videorag
Open-source Python library for semantic retrieval of transcript chunks from YouTube videos using vector search.
SAVANA
Deepfake and AI-generated content detection using computer vision and NLP.
AAROHI
AI-powered healthcare robotics system for hospital automation.
Languages
Python
LLMs & NLP
Transformers, Tool-Calling LLMs
RAG & Retrieval
FAISS, Azure AI Search, Vector Search
Multi-Agent Systems
LangGraph, Agent Orchestration Patterns
Backend & Infra
Flask, REST APIs, Azure Blob Storage, Cosmos DB
Databases
MongoDB, SQLite
Developer Tools
Git
Patent published – AI-based Healthcare Robot
Patent published – IoT-based Indoor Mapping System
Winner – SIH 2023 Internal Hackathon
Adobe Hackathon Semi-Finalist
Designing intelligent systems that reason, retrieve, and act.