Architecting scalable distributed infrastructure and building intelligent AI agents.
Currently focused on large-scale compute using Go at Akamai Technologies. I also design robust developer tooling and complex AI workflows, including multi-agent networks and RAG pipelines.
- Currently Interning at: Akamai (Distributed Computing & Systems Design)
- Currently Building: ErrorX (LangGraph bug injection engine) & Eco-Score.AI (Autonomous environmental analysis engine)
- Interests: Distributed Systems, Cloud Architecture (Pub/Sub, P2P), LLM Pipelines, Agentic Frameworks
Languages
AI / ML
Backend & Infrastructure
DevOps & Tooling
| Project | Description | Stack |
|---|---|---|
| ErrorX | LangGraph pipeline that searches, clones, and injects production-grade bugs for developer benchmarking. | Python, LangGraph, FAISS, ChromaDB |
| Eco-Score.AI | Autonomous engine scraping product data to predict carbon emissions using refined ML models. | Python, PyTorch, FastAPI |
| ADGM Corporate Agent | Multi-agent document compliance system for regulatory analysis and automated DOCX rewriting. | LangChain, CrewAI, ChromaDB |
| YAK — Yet Another Kafka | Lightweight distributed message broker with leader election, synchronous replication, and partitioning. | Python, Flask, Redis |
| Multi-Agent Stock Analyzer | Real-time stock news collection and sentiment analysis using specialized agents. | Python, CrewAI |
| Agentic-RAG | LlamaIndex-powered agentic document Q&A with intelligent query routing. | Python, LlamaIndex |
BUILD. BREAK. LEARN. REPEAT.

