I build agentic systems, confidence-gated RAG products, computer vision tools, and full-stack AI applications that survive past the demo.
A concise view of the resume content: AI internship work, open-source contributions, practical projects, and strong academic grounding.
Enthusiastic and self-motivated AI & Machine Learning undergraduate with hands-on experience building 10+ AI products and participating in 20+ hackathons. I like solving real problems through AI, modern web systems, and collaborative engineering.
Vision Transformers, MobileNetV2, LLMs, RAG, NLP pipelines, and inference routing.
FastAPI services, REST APIs, PostgreSQL, MongoDB Atlas, auth flows, and audit logging.
Next.js, React, Electron, Flutter, and full-stack product workflows.
GitHub issues, pull requests, debugging, documentation, and code reviews.
Categorized skills with visual emphasis for scanning. Percentages represent portfolio emphasis and working confidence.
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AI study assistant with confidence-gated retrieval and tool access via MCP servers.
Autonomous SRE copilot for incident response built with multi-agent orchestration.
Cross-platform attendance system spanning FastAPI backend, Electron desktop, and Flutter mobile.
Event intelligence platform detecting funding and layoffs from news using DistilBERT.
Converted from log lines into modern brutalist cards with date, title, description, and status.
1st Google Student Ambassador of all time from the college.
1st Prize at HackMarch 2.0, KLE Institute of Technology.
3rd Prize and selected for the Grand Finale in Delhi.
Microsoft Build //localhost:bengaluru, Microsoft Fabric Day 2026, Hack Days by Atria Summer of Code (MLH), and other Bengaluru AI/tech events.
Academic background with coursework and achievement context added into card structure.
Built practical AI and full-stack systems while participating in hackathons and developer communities.
Built the foundation for engineering, programming, and analytical problem solving.
Early academic base before moving into computer science and AI/ML.
Open to AI/ML internships, project collaborations, and engineering conversations around agents, RAG, computer vision, and full-stack AI systems.