AI/ML Engineer Β· Android Developer Β· Generative AI & LLM Workflows
AI/ML undergraduate (graduating Aug 2026) with hands-on experience in Python, Kotlin/Android, and Generative AI development. Built a sentiment analysis model achieving 92% accuracy and a recommendation engine driving a 15% uplift in user engagement. Delivered 4 end-to-end projects spanning computer vision, NLP, LLM workflows, mobile, and full-stack development.
Languages
AI / ML
TensorFlow scikit-learn OpenCV PyTorch LangChain
Mobile & Web
Android Jetpack Compose React Flask Node.js
Cloud & Databases
Firebase AWS Google Cloud MySQL
| Project | What it does | Tech |
|---|---|---|
| CareerCrafts AI | Parses resumes & JDs, scores keyword match across 50 job categories, generates tailored cover letters & interview prep via LLM workflows | Python, LangChain, RAG, LLM |
| WasteWise | On-device waste classification β DenseNet201 β TFLite, 89% accuracy across 10 categories; blockchain WASTE token incentive system | TensorFlow, TFLite, Firebase, Kotlin |
| Virasat-Namma | Production Android app covering 20 heritage sites with multilingual storytelling, QR check-in passport, offline-first architecture | Kotlin, Jetpack Compose, MVVM, Firebase, ML Kit |
| RapidVerify | Misinformation detection β Flask NLP claim verification pipeline, authenticity scoring, sub-2s API latency (MumbaiHacks 2025, 200 teams) | Flask, NLP, Python |
| KINETIC Platform | Full-stack fitness ecosystem β app, admin dashboard, and ML trainer across 3 repos in a dedicated GitHub org | Kotlin, Node.js, ML |
| Agent-Memory | AI agent with persistent memory architecture for long-context conversations | Python, LLM, RAG |
Android App Development Intern β Generative AI Β· MindMatrix Ed, Bengaluru (Feb 2026 β May 2026)
- Engineered and shipped Android app features using Kotlin, Jetpack Compose, and Firebase
- Integrated Google AI Studio GenAI workflows into mobile app prototypes
- Resolved 10 bugs across app modules; designed Firebase-backed real-time MVVM data workflows
AI & Data Analytics Virtual Intern Β· AICTE Γγ°γ€ Shell Γγ°γ€ Edunet (Jul 2025 β Aug 2025)
- Built two end-to-end AI/ML pipelines on real-world green-energy datasets (3,000+ data points)
- Applied regression and classification models using scikit-learn and Pandas
- Oracle β Generative AI Professional (Sep 2025)
- AWS β Cloud Foundations (Oct 2025)
- IBM β AI Fundamentals (Aug 2025)
- Cisco β Intro to Data Science (Aug 2025)
- Tata STRIVE β Cybersecurity (Nov 2024)
B.E. in Artificial Intelligence & Machine Learning Β· East West Institute of Technology, Bengaluru Sep 2022 β May 2026
Open to AI/ML, Android, or Full-Stack roles β feel free to reach out!