Hackathon • Bonus Winner
Agent Nomad
Built a belief-aware AI agent marketplace where agents bid on tasks based on confidence, with live analytics through AutoDB + Postgres and research workflows powered by Claude and Tavily.
13 Projects
My Projects
A collection of my work spanning web development, full-stack applications, ML systems, and hackathon experiments.
Kiro Spark • Best Collab Winner
Ghosty
Built a voice-first AI conference companion that captures recruiter conversations, scores connection value transparently, and drafts context-aware follow-ups. Won Best Collab at Kiro Spark Challenge 2026.
Hackathon • AI Tutor
Agent Reborn: Lofty Academy
Created a voice-enabled AI onboarding tutor for real estate agents, using live DOM awareness, grounded Gemini responses, ElevenLabs speech, and Insforge edge functions for interactive CRM walkthroughs.
Hackathon • Bonus Winner
Hackathon • Developer
SyncSolve
ASU WiCS Opportunity Hack project - A collaborative platform for solving problems together in real-time with team synchronization features.
Hackathon • Developer
FinClear
Financial clarity tool helping users understand and manage their finances with clear visualizations and insights.
AI SaaS • Developer
PaperPilot
Built an AI research workspace that turns uploaded papers into summaries, insights, implementation guidance, grounded Q&A, and a runnable Python sandbox.
AI + Data • Developer
RapidWing
Created a real-time emergency response command system that ingests live incident feeds, scores operational risk, gates AI triggers, and serves dispatch-ready insights through an interactive map.
Backend • Lead Developer
Real-Time Graph Analytics Pipeline
Designed a real-time graph analytics backend where events are ingested via Kafka, intermediate state is stored in RocksDB, and graph algorithms run in Neo4j on Minikube.
ML • Developer
Explainable Health Optimizer
Built an ML clinical decision system to predict hospital readmissions in diabetic patients using EHR data. Deployed an interactive Streamlit dashboard using SHAP for local explanations.
ML • Developer
Plant Disease Detection
Designed an end-to-end ML pipeline to detect plant leaf diseases using segmentation, color histograms, and Haralick textures. Achieved 97.5% accuracy using Random Forest.
NLP • Researcher
Hinglish Sentiment Analysis
Performed sentiment classification on Hinglish code-mixed datasets using MLP and CNN models. Applied TF-IDF and Word2Vec embeddings alongside emoji normalization.
Full-Stack • Lead Developer
ValoEmpire
Built and deployed a full-stack account trading platform, boosting engagement by 20%. Integrated secure authentication and role-based access using JWT and bcrypt.
Full-Stack • Developer
Gym Occupancy Tracker
A real-time platform relying on anonymous device hashes to passively track and compute crowd densities. Engineered a decay-based aggregation algorithm.