Research Intern — NIT Puducherry
May 2025 – PresentAI/ML systems for heavy-vehicle contexts; literature review, data pipelines, and model implementation.
Hello, I'm
AI/ML Developer. Entrepreneur.
Bengaluru, IndiaHighly motivated and solutions-driven Computer Science undergraduate specializing in Artificial Intelligence and Machine Learning. Proven expertise in building real-world applications across financial forecasting, cybersecurity, recommendation systems, and IoT-based payment solutions. Co-founder of a student-focused edtech startup, with demonstrated leadership in ideating, developing, and pitching scalable digital products. Adept in Python, Flask, SQL, and ML libraries, with experience in Explainable AI (XAI), time series modeling, and NLP. Passionate about solving impactful problems through innovation, with a strong portfolio of hackathon-winning projects and client- facing prototypes.
AI/ML systems for heavy-vehicle contexts; literature review, data pipelines, and model implementation.
Backend architecture (Flask, MongoDB/SQLite), parent/teacher/student apps, RBAC, pilot deployments.
Modernized responsive pages, SEO tweaks, and interactive features across the web stack.
Full-stack student ID + cashless payments: RBAC dashboards, Razorpay top-up, Twilio SMS alerts, receipt printing, ERP sync; pilot-ready.
Short-term stock forecasting with engineered indicators, XGBoost + LSTM; Streamlit UI.
SEM image processing with texture features (GLCM/LBP), filters & thresholding; ~93% defect classification.
CNN-based deepfake detector with explanation heatmaps; Flask demo for interactive testing.
Three-node, fault-tolerant design; CNN-based packet behavior classification + live dashboards.
Real-time static + dynamic hand-gesture recognition using MediaPipe landmarks and DL.
Floor-plan generation, plot price prediction, and a negotiation chatbot with maps-driven features.
Ball-by-ball win probability with engineered features; Streamlit app for live match insights.
Crop recommendations + automated drip irrigation; voice chatbot; weather-aware scheduling.
Six-Thinking-Hats role detection with a custom RoBERTa (“HatBERT”) and live WebSocket tracking.
Cycle prediction and guidance chatbot; 1st place at KLE GirlGeekHack 2023.
Tkinter + MySQL desktop app for menu/order management with tax-inclusive billing and receipts.
Python tool to auto-generate weekly school timetables with constraint-based logic.
Built university-wide community; ran conferences, workshops, and ML events.
Organized AI/ML workshops, coding comps, and expert lectures.
Core organizing team for a 30-hour international hackathon (60+ teams, 200+ stakeholders).