Building at the intersection of deep learning and quantum systems — from CNN models to qubit circuits.
An AI & ML engineer from Bengaluru, currently pursuing a B.E. in Artificial Intelligence & Machine Learning at RV College of Engineering (CGPA 8.96). I build across the stack — from deep-learning and computer-vision pipelines to full iOS apps and cloud backends.
Right now I'm an Apprentice Associate III at Allstate India, building AWS data pipelines for RAG systems. Before that I shipped a published iOS app at Einsteini.ai (USA) and a child-health platform with Skids.Health. I'm drawn to problems at the edge of what's understood — quantum machine learning, multimodal estimation, and real-time vision.
Mobile + web ecosystem for child health monitoring. YOLO + MediaPipe pose estimation and PyTorch/Transformers modeling for anthropometric, WHO-based analysis — 96.9% accuracy. Deployed with skids.health.
Processes rail-wagon video to classify loaded/unloaded status, compute material volume, and detect damage — auto-generating image reports. Deployed at JK Lakshmi Cement. Grand Prize, MINeD 2025.
Modular multi-camera security system with anomaly detection — loitering, crowd & motion alerts via SVM, KNN, blob detection and Kalman filtering. Live dashboards + email/SMS triggers.
Voice chatbot for 9+ Indian languages (Sarvam AI STT/TTS/translation) with LangChain + GPT for contextual loan advice. Top 50 — Great Bengaluru Hackathon.
Monocular-camera system using CNN + optical flow for steering-angle prediction, with depth estimation and discrete-math models replacing LiDAR. Research paper in progress.
Interactive visualization of qubit state rotations on the Bloch sphere.
Prototype using visible-light absorption to identify solutions — built from the hardware up.
Real-time object detection and classification with automated command output.
Pothole and civic-issue reporting system from a design-thinking course.
Led the team to the 48-hr Grand Prize ($300 + ₹10,000) at MINeD 2025 (Binghamton University, NY & Nirma University). Built the Deep-Learning/CNN models for damage detection & volume estimation.
View Top 5%Finished in the top 5% of the NPTEL course. Also completed AI for Economics (NPTEL).
View Top 6Top 6 — built an emotional multilingual chatbot using NLP and TTS/ASR for real-time, sentiment-aware responses.
View 3rdThird place in a 24-hour Kaggle ML competition for Energy Audit Estimation & Analysis.
View 500+Solved 500+ problems across LeetCode, GeeksforGeeks, Codeforces and HackerRank.
View 1460+Maximum contest rating of 1460+ — top 38% globally.
ViewB.E. in Artificial Intelligence & Machine Learning Engineering
Pre-University (PCM)
KCET — 1424 State Rank · JEE Mains — 96.1 percentile
Everything from the talks, people, insights, and my takeaways from one of the most formative days of the year.
A deep dive into CPS in defense — what they are, how they work, and why they matter for modern infrastructure.