A focused view of my strongest AI, data, and full-stack work.

Bachelor of Technology - Data Science
Manipal Academy of Higher Education, Udupi
Expected Graduation: July 2027
Focus Areas
Core Skills
Python, TypeScript, JavaScript, SQL, Java, C++, React, Next.js, Electron, FastAPI, Firebase, Firestore, Docker, Git, GitHub, Vertex AI, Gemini API, and Google Cloud.

Mental Therapy Agent
Built a safety-aware AI wellness assistant using FastAPI, LangGraph-style orchestration, Ollama, local LLM inference, ChromaDB, vector search, intent detection, emotion classification, safety checks, risk classification, and escalation logic.
View GitHub RepositoryAI Map Coloring / Dynamic Mapper
Built a CSP-based map coloring system using backtracking, MRV, LCV, Forward Checking, AC-3, OpenCV image processing, connected-component detection, adjacency graph construction, Streamlit UI, and solver benchmarking.
View GitHub RepositoryCertifications
Projecto - Developer Project Manager
Built an Electron, React, and TypeScript desktop app with a connected Next.js and Firebase web platform for project launch commands, runtime state, authentication, subscriptions, billing, downloads, and desktop update checks.
Postify - Developer Activity Automation
Built a React, TypeScript, Firebase, Firestore, Cloud Functions, and Vertex AI Gemini platform that turns developer activity into ranked work highlights and editable LinkedIn draft variants.
ReleafOps AI - NGO Crisis Management Platform
Built a Next.js, FastAPI, Firebase, Firestore, Gemini, Google Maps, and Cloud Run platform for AI-assisted incident intake, resource tracking, route-aware dispatch planning, and human-in-the-loop review.
Stock Analysis and Twitter Tweet Analytics
Built big data analytics pipelines using Hadoop, Spark, HDFS, Hive, Pig, HBase, Docker, PySpark, Spark NLP, Dash, Plotly, Cytoscape, ETL workflows, anomaly detection, and graph analytics.
Short walkthroughs for the main production projects.
Projecto
Demo video available
Postify
Demo video available
ReleafOps AI
Demo video coming soon
Desktop and web platform for managing developer projects from one workspace. Built an Electron, React, and TypeScript desktop app to manage project folders, launch commands, terminal processes, runtime states, and local app URLs. Built the connected web platform with Next.js, Firebase App Hosting, Firestore, REST APIs, authentication, Dodo Payments subscriptions, billing flows, download pages, and desktop update checks. Keywords: Electron, React, TypeScript, Next.js, Firebase, Firestore, REST APIs, Dodo Payments, GitHub Releases, Squirrel.Windows, SHA-256 validation.
Full-stack platform that turns developer work into structured content highlights. Built a React, TypeScript, Firebase Authentication, Firestore, and Cloud Functions app to collect Codex, GitHub, and manual activity, rank useful work items, and generate editable LinkedIn draft variants. Used Vertex AI Gemini through backend-side serverless functions with schema validation, safety checks, and protected API keys. Keywords: React, TypeScript, Firebase Auth, Firestore, Cloud Functions, Vertex AI Gemini, content automation, LinkedIn drafts.
AI-powered disaster response platform for NGOs and emergency teams. Built a full-stack app with Next.js, TypeScript, FastAPI, Firebase Authentication, Firestore, Gemini, Google Maps APIs, and Cloud Run. The platform ingests CSV, PDF, image, and text reports and converts them into incidents, teams, volunteers, resources, and dispatch plans. Designed human-in-the-loop workflows for preview, edit, reevaluation, confirmation, provenance, audit trails, resource-aware matching, route ETA, and organization-scoped access. Keywords: Next.js, FastAPI, Firebase, Firestore, Gemini API, Google Maps, Cloud Run, AI agents, dispatch planning, human-in-the-loop.

Safety-aware AI wellness assistant built around local LLM workflows. Built a FastAPI and LangGraph-style agent pipeline that routes user messages through intent detection, safety checks, emotion classification, RAG retrieval, and response generation. Used Ollama, local LLM inference, ChromaDB, vector search, structured JSON outputs, conditional routing, risk classification, escalation logic, and conversation state management. Keywords: FastAPI, LangGraph, Ollama, local LLMs, ChromaDB, RAG, vector search, safety checks, emotion classification, escalation logic.
Classical AI system for graph and map coloring problems. Built a CSP solver with backtracking search, MRV, LCV, Forward Checking, and AC-3. Added benchmarking for execution time, memory usage, nodes explored, backtracks, inference calls, and pruning efficiency. Extended the work with OpenCV image processing, connected-component detection, adjacency graph construction, and API-based rendering to color uploaded map images automatically. Keywords: Python, CSP, backtracking, MRV, LCV, Forward Checking, AC-3, OpenCV, NetworkX, Streamlit, benchmarking.
Distributed stock analytics platform for Indian market data. Built ETL pipelines for OHLCV price ingestion, RSS news parsing, Reddit sentiment extraction, deduplication, normalization, and ticker-level joins across multiple financial data sources. Implemented anomaly detection with Isolation Forest, sentiment correlation, rolling momentum, sector analysis, and price-volume features to explain unusual stock movements. Keywords: Hadoop, Spark, HDFS, Hive, Pig, HBase, Docker, PySpark, Streamlit, ETL, Isolation Forest, sentiment analysis, Indian stock market.
Big data tweet analytics pipeline for sentiment and hashtag-network analysis. Built a PySpark pipeline to process about 1.6M tweets using batch processing, optional file-based streaming, Spark NLP sentiment analysis, hashtag extraction, and graph analytics. Generated vertices, weighted edges, degree centrality, dominant sentiment, and auto-refresh dashboard views using Dash, Plotly, Cytoscape, and JSON outputs. Keywords: PySpark, Spark NLP, GraphFrames, Dash, Plotly, Cytoscape, batch processing, streaming simulation, sentiment analysis, graph analytics.