Software Engineer building AI-powered web systems and backend infrastructure.

Currently working on:

• Trade-log — A full-stack trading journal for prop firm traders with MT5 auto-sync via a custom Terminal Farm architecture, AI trade analysis (Gemini), candlestick chart review, and prop firm compliance tracking
• Ignite Life Command — A multi-agent personal operating system with domain-specific AI agents (Nova for trading, Sage for spiritual guidance), a Notion-style notes system, daily habit tracking, and a unified life dashboard — built on Supabase Edge Functions with streaming GPT-4 responses

Languages: Python · TypeScript · JavaScript · SQL
Frameworks: Next.js · React · FastAPI
Databases: PostgreSQL (Supabase) · Redis
Infrastructure: Docker · Supabase Edge Functions (Deno) · AWS (EC2, S3, Lambda)
AI/ML: OpenAI GPT-4 · Google Gemini · RAG Pipelines · OpenCV · Google Vision API
Tools: Git · GitHub Actions · Zod · React Query · Framer Motion

I work at the intersection of backend systems and applied AI — building tools that process real data, run inference at scale, and surface meaningful analysis to end users.

At CopyRight Integrity International, I independently designed and deployed an OCR pipeline processing 25,000+ screenshots per day across 10+ social media platforms with 98.4% accuracy, deployed across 12 distributed workstations.

Actively contributing to open source. Currently focused on GSoC 2026 — exploring projects at the intersection of web infrastructure and applied AI tooling.

• LinkedIn: linkedin.com/in/rahul-kumar-07-developer
• Email: [email protected]

MCA candidate at CHRIST (Deemed to be University), Bangalore