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Building production-ready conversational agents using Google ADK, MCP, and LangChain |
Designing high-performance APIs with Go (Fiber), Bun, and Cloudflare Workers |
Shipping scalable end-to-end products from MVP โ Production |
๐ Untangle โ AI-Powered Legal Document Simplifier ย ย Try Untangle โ
Making legal jargon accessible through conversational AI
Tech Stack: Cloudflare Workers Hono Next.js TypeScript Google ADK CRXJS
My Contributions:
- โก Architected full-stack AI platform with secure backend APIs on Cloudflare Workers
- ๐ Developed browser extension and web app for seamless document analysis
- ๐ค Implemented multi-agent AI system using Gemini for summarization, clause extraction, and legal risk analysis
- ๐ Designed secure document upload pipeline with parsing and AI execution layer
Status: Collaborative Project โข Active Development
๐ฐ HiFi โ Conversational AI Financial Assistant ย ย Try HiFi โ
AI-powered trading and investment analysis platform
Tech Stack: Go Fiber PostgreSQL Google Agent Dev Kit FI MCP
My Contributions:
- ๐๏ธ Built backend infrastructure in Go with Fiber/FastHTTP for scalable data handling
- โก Implemented concurrent processing using Goroutines for real-time financial operations
- ๐ค Integrated multi-agent workflows using Google ADK and FI MCP tools
- ๐ Designed architecture for analyzing trading data from Zerodha/Kite platforms
Role: Backend Development โข AI Integration
๐ค D-Agent โ Decentralized Agent Marketplace ย ย Try D-Agent โ
Platform to monetize AI agents using blockchain technology
Tech Stack: Python FastAPI Next.js PostgreSQL A2A Protocol Blockchain
My Contributions:
- ๐๏ธ Built backend infrastructure with FastAPI for agent management
- โก Implemented frontend with Next.js, integrated Ethers & Wagmi for smart contracts
- ๐ Developed secure authentication flow using BetterAuth
Role: Full-Stack Development โข Blockchain Integration
Full-Stack Intern @ Next-Gen QuickHire
Jan 2025 - Jul 2025
- Built MVPs with clean database schemas using modern TypeScript stack
- Rapid prototyping from product concepts to functional modules
- Collaborated on recruitment system features and workflow automation
const currentFocus = {
ai: [
"Advanced AI agent architectures",
"Fine-tuning LLMs with LoRA",
"Building custom MCP servers"
],
backend: [
"Concurrent programming patterns in Go",
"System design for high-scale applications",
"Distributed caching strategies"
],
devops: [
"Container orchestration with Kubernetes",
"CI/CD pipeline optimization"
]
};


