I'm a CS undergrad and AI/ML builder focused on shipping real-world intelligent systems — from LLM-powered applications and RAG pipelines to agentic workflows and applied ML research. I don't just learn technology, I build with it and help others do the same.

Google Cloud Certified ML Engineer · Google Student Ambassador 2026 · GDG On Campus Organizer @ APSIT · Open Source Contributor (GSSoC 2025)

• Building applied ML research around LLMs, RAG architectures, and AI agents
• Working on demand forecasting systems combining time-series models (ARIMA, XGBoost) with Google Trends signals
• Formalizing experiments into a published ML research paper
• Exploring agentic workflows, tool calling, and multi-step planning for real-world automation

• AI/ML Research — Investigating LLM behavior, prompt engineering, retrieval quality, and output reliability. Working toward research contributions in alignment and interpretability
• Applied AI Systems — Building end-to-end products that combine LLMs, APIs, and backends into things that actually ship and solve real problems
• Community & Open Source — Leading GDG On Campus APSIT, organizing hackathons, collaborating with industry professionals, and mentoring developers in AI and cloud

• ML Research & Demand Forecasting — Applied ML research project combining ARIMA + XGBoost with Google Trends signals for e-commerce demand prediction. Evaluated using RMSE and MAPE metrics
• Playlistify AI — NLP-based music recommendation engine that converts natural language prompts into curated Spotify playlists using Gemini API and intent extraction
• Vision Protect — AI-powered AR safety Android app using computer vision and ARCore for real-time hazard detection and awareness
• ARchitect — Web-based AR interior design platform for furniture visualization, 3D room planning, and budgeting workflows
• Lost & Found Campus — AI-assisted campus portal with Gemini-powered item descriptions, Google Auth, and Firestore listings

• Languages: Python, C++, Java, JavaScript, TypeScript, Kotlin, Dart, HTML/CSS
• AI / ML: Machine Learning, Deep Learning, NLP, Computer Vision, Generative AI, LLMs, RAG, AI Agents, Prompt Engineering, Tool Calling, Recommendation Systems
• ML Libraries: Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, OpenCV, LangChain, FAISS
• Backend & APIs: Node.js, Express.js, REST APIs, FastAPI, Firebase, SQLite, SQL
• Cloud & DevOps: Google Cloud Platform (GCP), Firebase, Oracle Cloud (OCI), AWS (Fundamentals), Docker, Linux, CI/CD (GitHub Actions)
• Mobile & AR: Android (Kotlin), ARCore, ML Kit, Flutter
• Tools: Git, GitHub, Postman, Vercel, Notion, VS Code

• 🥇 Build and Grow AI Hackathon 2.0 — Top 15 Finalist (1,766+ teams nationwide), Grand Finale @ Jio Institute
• 🥇 Hack This Fall Community Fall 2025 — Top 10 Overall + Apify Track Reward, Hacker House @ Zoho House, Bengaluru
• 🎓 Google Cloud Professional ML Engineer — Certified
• 🌟 Google Student Ambassador 2026 — Selected for APSIT campus
• 🌍 GSSoC 2025 — Open Source Contributor
• ☁️ Google Cloud Arcade Challenge — Completed

Currently based in Mumbai · Building AI systems that matter · Open to AI/ML internships and research collaborations

📫 Connect with me · LinkedIn · Portfolio · Email