π Actively seeking Summer 2026 internships in Data Science, AIML, and Research.
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π Distributed Recommender Systems
Matrix factorization with Spark on Databricks, yielding a 30% speed-up over traditional collaborative filtering models. -
β€οΈ Edge ML Health Monitoring
LSTM-based real-time fall + arrhythmia detection system with >90% accuracy. Built on PyTorch with edge-device deployment scope. -
π RL-Based Portfolio Optimizer
Reinforcement learning agents trained for adaptive stock allocation; backtested 20β30% annual returns over traditional strategies. -
π Nifty 50 Time Series Predictor
Regression ensemble models for Nifty 50 forecasting, aiding daily trading signals. -
π§΄ Skin Burn Classifier
CNN-based classification model for burn severity (83% accuracy); Top Finalist in TiE Global Hackathon (650+ teams). -
π Churn Predictor (Telco)
End-to-end ML workflow for churn prediction with explainability dashboards (SHAP, LIME). -
π§ GAN Image Generator
Trained custom GANs to generate synthetic images from noise vectors; explored latent vector interpolation and conditional GANs.
- π Spotlight Awards @ Equifax β for GCP analytics platform transformation and exposure modeling.
- π©οΈ Google Cloud Certified β Associate Cloud Engineer
- βοΈ AWS Certified Solutions Architect β Associate
- π§ Top 5 Finalist β TiE Global Hackathon: Burn severity classifier among 650 international teams.
π¬ Open to collaborate or intern (Summer 2026)
If you're working on impactful AI/ML problems in industry or research β let's talk!

