Final-year BCA (AI & Machine Learning) student who likes shipping over theorizing. I turn "wouldn't it be cool if…" ideas into deployed products — AI news engines, face-recognition automations, document-privacy tools — usually held together with Python, FastAPI, n8n and a lot of Docker. Currently chasing agentic AI and looking for an AI/ML or AI Automation internship where I can build real things.
location: New Delhi, India 🇮🇳
education: BCA — AI & ML, GGSIPU (Class of 2026)
focus: [ LLM pipelines, workflow automation, full-stack AI ]
mindset: "ship it, measure it, then make it cheaper"
open_to: AI/ML & AI Automation internships 🚀|
Full-stack AI news engine. An APScheduler pipeline ingests & dedupes 500+ RSS entries/run into Postgres, then Google Gemini writes summaries tuned to 3 reader personas. Google OAuth2, shipped on Vercel + Render.
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A self-hosted n8n pipeline that pulls photos from Drive, recognizes friends with face recognition, and DMs each person their own pics on WhatsApp — idempotent, GDPR-aware, ~$3–5/month.
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AI-powered detection & masking of sensitive fields in Indian government documents — privacy by default.
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Exploring agentic pipelines with LangChain & AutoGen. Pinned repos below are the latest — watch this space.
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