DARKSEID
Supervisor-driven multi-agent RAG system for intelligent document processing with dynamic agent routing and context-aware vector retrieval. Technologies: LangGraph, Multi-Agent RAG, FastAPI, and Qdrant.
2roles
38skills
2education
5credentials
About
Computer Engineering and Data Science student building agentic AI, full-stack applications, cloud systems, and multilingual NLP research projects.
Experience
AI Engineer
Gigze
2024–Present · Pune, India
Co-building an AI startup backed by Microsoft with active YC interest; collaborating directly with Microsoft engineers on AI architecture and product decisions. Leading full-stack AI development with an agentic backend using FastAPI, LangGraph, and Kestra; AWS cloud services including Lambda, Bedrock, S3, and EventBridge; and a React/TypeScript frontend. Valuation stated as INR 70Cr+ and raising INR 70 to 80 lakh in a pre-seed round.
Management Team Member
E-Cell, MIT Academy of Engineering
2023–Present · Pune, India
Streamlined operations through automated workflows, managed events for more than 500 attendees, and mentored peers on GenAI and full-stack development.
Education
IIT Madras
BS, Data Science & Applications
2024–Present
MIT Academy of Engineering, Pune
B.Tech., Computer Engineering – Software Engineering
2023–2027
Skills
PythonC++JavaScriptTypeScriptLangGraphKestraRAG PipelinesAgentic AIWhisper STTGemini VLMIndicBERTFAISSStable Baselines3NumPyPandasFastAPIReact.jsNode.jsTailwind CSSHTML5CSS3BootstrapAWS LambdaAWS BedrockAWS S3AWS EventBridgeDockerCI/CDQdrantPostgreSQLpgvectorMySQLMongoDBGitGitHubVS CodePostmanLinux
Projects
HiveMind
Unified AI Media OS on AWS serverless with event-driven inter-agent orchestration and an agentic communication layer between specialized AI agents. Semi-Finalist – AI for Bharat 2026.
DevOps Autopilot
Autonomous bug-to-deploy pipeline using LLMs and Kestra, with fully automated CI/CD to reduce manual deployment bottlenecks.
Lango
Multilingual healthcare AI assistant bridging language barriers between patients and providers. Technologies: GenAI, TypeScript, Node.js, and Multilingual NLP.