Writing clean, efficient,
and scalable code.
Designing and building
modern web experiences.
Bringing ideas to life from
concept to deployment.
CS Student • Web Developer
Hey! I'm Siddhanth — a 3rd-year Computer Science student who loves turning half-baked ideas into things you can actually click on. I've built AI apps and lately, I'm diving into systems, OS internals, WebAssembly, and deep learning to push browser performance further.
Right now, I'm vibecoding my way through React, Next.js, Express, and Tailwind, while also sharpening my DSA skills in C++. On the AI side, I've been diving deep into RAG and agentic systems — not just answering questions, but making models act, reason, and adapt.
Beyond code, I'm curious about systems thinking, storytelling, and the little details that make tech feel human. I thrive in spaces where experimentation is encouraged, and I enjoy collaborating with people who bring wild ideas to the table.
At the end of the day, I see code as a medium for creativity — a way to build things that surprise, delight, and maybe even inspire.
A summary of my professional and academic journey.
Odymax Technologies • Hybrid
DR. AKHILESH DAS GUPTA INSTITUTE OF PROFESSIONAL STUDIES • Education
Engineered a full-stack financial crime detection platform, combining a React frontend, a FastAPI REST API with 15+ endpoints, and a Neo4j graph database to process multi-channel transaction logs into a Unified Entity Graph. Implemented a Temporal Graph Neural Network (GNN) combining GraphSAGE and GAT using PyTorch Geometric to accurately identify high-velocity fund movements and complex mule-ring clusters in near real-time. Developed an interactive dashboard featuring advanced network visualization with react-force-graph, integrating an Explainable AI (XAI) auditor for human-readable insights and a secure, privacy-preserving SHA-256 data export pipeline.
Built a real-world payment gateway simulator supporting UPI, card, and wallet transaction flows with webhook callbacks, tokenization, and multi-layer processing across gateway, bank, and merchant. Designed a real-time Ghost Transaction Detector using rule-based heuristics and ML classification to identify stuck or missing transactions, assigning ghost scores and automated recommendations. Developed an AI Ledger Auditor that ingests merchant, gateway, and bank ledgers to detect mismatches and generate human-readable reconciliation reports using LLMs. Implemented a modular, event-driven architecture using Redis queues, PostgreSQL schema design, synthetic data simulation, and dashboards for audit visibility and anomaly monitoring.
Engineered a containerized full-stack platform with Docker Compose, combining a Next.js frontend, Node.js REST API, and MySQL database for single-command deployment. Implemented a secure, scalable backend with 12+ endpoints, JWT-based authentication, role-based access, and Prisma-powered database queries with automated migrations and achieved 75%+ automated test coverage. Developed a responsive frontend with React Context, Tailwind CSS, and Recharts, integrating AI-driven portfolio analysis, recommendations, and chatbot features via a secure Google Gemini API proxy.
Engineered a high-performance TUI using Go and the Bubble Tea framework to mitigate data loss in Git workflows. Developed an interactive reflog analyzer with real-time diff previews, enabling developers to recover lost commits, stashes, and branches with surgical precision. Implemented preventive safeguards and multi-repository scanning via Cobra CLI, automating the detection of destructive operations and reducing accidental data corruption across complex project structures.
A curated stack of tools & tech I use to bring ideas to life.
React
Next.js
Tailwind CSS
HTML5
CSS3
Node.js
Express.js
PostgreSQL
JavaScript
TypeScript
Python
C++
Git
Vercel