Hello, I'm
Satyabrata
Mohanty
Full-Stack Engineer & AI Builder
Building end-to-end AI products that drive real outcomes. Currently pursuing Data Science at IIT Madras while building scalable web applications and contributing to open-source.
// AI Builder Profile
const builder = {
name: "Satyabrata",
stack: [
"LangGraph", "Advanced LLMs",
"Next.js", "Supabase"
],
shipped: [
"buglens.app",
"enginiq.dev"
],
impact: "12K DAU · 50% growth"
};About Me
Building AI products
that own real outcomes
Full-stack engineer who builds end-to-end and owns outcomes. Founded two live AI products — BugLens (AI code review SaaS with real billing) and EnginIQ (safe Postgres runtime for AI agents). At MagicSlides, diagnosed and resolved production reliability failures at a 12K DAU platform, directly driving a 50% DAU increase. Thinks in systems — from user behaviour to business outcome to feedback loop.
Key Achievements
- Drove 50% DAU growth at MagicSlides (8K → 12K) by designing a 3-tier fallback architecture for the AI image pipeline
- Founded 2 live AI SaaS products (BugLens, EnginIQ) with real billing infrastructure and production users
- Published 30+ technical articles on GeeksforGeeks — resolved 100+ learner queries
- Built a multi-agent LangGraph orchestration system for automated PR review across full repository context
2
Live AI SaaS
50%
DAU Growth
12K
DAU Platform
AI Systems Builder
Multi-agent LangGraph pipelines, RAG systems, and MCP servers — built for production, not demos.
Production Mindset
Diagnosed and fixed critical reliability failures at 12K DAU scale. Owns problems from root cause to measurable outcome.
Founder Mentality
Shipped 2 live AI SaaS products with real billing infrastructure — BugLens and EnginIQ — solo.
Proven Impact
50% DAU growth at MagicSlides, 30+ technical articles, 100+ learner queries resolved at GeeksforGeeks.
Skills
Technical Arsenal
A comprehensive toolkit for building modern, scalable applications
Languages
Backend & Infra
Frontend
AI / ML
DevOps & Tools
Core Competencies
Experience
Professional Journey
Software Developer Intern
- Sole intern — owned the AI content generation pipeline end-to-end for a 12,000 DAU product.
- Diagnosed reliability failures in the image generation pipeline, designed and drove implementation of a 3-tier fallback architecture (primary → secondary → cached) — directly attributed to a 50% DAU increase (8K → 12K) during tenure.
- Identified and resolved 3 critical stability bottlenecks causing cascading failures under peak load — improved uptime and enabled sustained traffic growth without additional infrastructure spend.
- Operated with full ownership: scoped problems, proposed solutions, shipped, and measured outcomes in a production environment — no handholding from senior engineers.
Technical Content Writer
- Published 30+ technical articles on DSA, web development, and system concepts — resolved 100+ learner queries, developing structured communication of complex engineering ideas.
- Collaborated with senior developers and editors to ensure technical accuracy and content alignment with the latest curriculum trends.
- Contributed to the growth of the GeeksforGeeks learning community, improving learner satisfaction and platform engagement.
Projects
Featured Work
A selection of projects showcasing my skills in full-stack development, system design, and problem-solving.
BugLens
AI Code Review SaaS · Live · Real Billing
GitHub PR reviews are slow and inconsistent — existing tools flag bugs but don't coach. Architected a multi-agent LangGraph orchestration system where agents perform cross-file impact analysis, security scanning, and pattern detection. Built a hybrid RAG pipeline with vector search (Qdrant) for contextual review against historical PR patterns. Implemented full billing via Polar.sh with HMAC-SHA256 webhook verification and Supabase SSR auth.
EnginIQ
Safe AI–DB Runtime · Live
As AI agents gain database access, there is no safe execution layer — one hallucinated DROP TABLE can wipe production data. Built a real-time SQL AST analysis engine that intercepts and blocks destructive queries (DROP, TRUNCATE, unbounded DELETE) before execution. Developed full developer ecosystem: MCP server for AI agents, CLI for migrations, and a Next.js platform for schema management, audit logging, and automation.
Education
Academic Background
B.Sc. in Data Science and Applications
Indian Institute of Technology, Madras
Certification in Computer Science & AI
PW Institute of Innovation, Bengaluru
Languages
Blog
Latest Articles
Deep dives on AI systems, LangGraph agents, full-stack engineering, and things I learn building in production.
How I built a multi-agent AI system with LangGraph
A deep dive into building a production multi-agent orchestration system using LangGraph — cross-file impact analysis, security scanning, and RAG-based contextual review.
Contact
Let's Work Together
Have a project in mind or want to discuss opportunities? I'd love to hear from you.
Get in Touch
Available for AI engineering roles and AI automation projects. I respond within 2 hours.