Backend Engineer • Distributed Systems • AI Engineer • Open Source Contributor • Speaker
Building scalable systems, AI-powered applications, and developer tooling.
- 💼 Computer Scientist II at Adobe
- ☕ 10+ years in Backend Engineering
- ⚡ Building distributed systems using Java, Spring Boot, Kafka & Event-Driven Architectures
- 🤖 Building expertise in Agentic AI, MCP, A2A & Multi-Agent Systems
- 🏗️ Passionate about Software Architecture & System Design
- 👨🏫 Mentor, Speaker & Open-Source Contributor
Harbor is an MCP Gateway designed to help AI clients interact with large backend ecosystems through a small, fixed set of tools instead of exposing hundreds of service-specific tools directly to the agent.
A key focus of Harbor is distributing skills through MCP, allowing domain knowledge, tool capabilities, and execution workflows to remain close to the services that own them. This helps reduce agent context overhead while enabling scalable tool discovery and orchestration.
Highlights
- Skill Distribution over MCP
- MCP Gateway Architecture
- Context Reduction for Agents
- Tool Discovery & Routing
- Enterprise API Integration
- Agentic AI Infrastructure
🔗 Repository:
https://github.com/vijaydeepsinha/harbor
AI-powered HR assistant focused on knowledge retrieval and workflow automation.
- Enterprise knowledge retrieval
- Natural language interaction
- Workflow assistance
- GenAI-powered experience
🔗 Repository:
https://github.com/vijaydeepsinha/hr-copilot
AI-powered financial assistant built using modern GenAI and RAG patterns.
- Conversational AI
- Financial document understanding
- RAG architecture
- LangChain integration
🔗 Repository:
https://github.com/vijaydeepsinha/finbot-chat
- Agentic AI
- Model Context Protocol (MCP)
- Multi-Agent Systems
- Context Engineering
- Agent Memory & State Management
- AI Evaluation Frameworks
- Distributed Systems
I write about:
- Distributed Systems
- Kafka & Event-Driven Architecture
- System Design
- AI Engineering
- MCP & Agentic AI
- Software Architecture
- Engineering Leadership & Mentorship
I believe learning compounds when knowledge is shared with the community.
Backend
Java • Spring Boot • REST APIs • Microservices • Hibernate/JPA
Distributed Systems
Kafka • Debezium • CDC • Event-Driven Architecture
Databases
MySQL • PostgreSQL • MongoDB • Redis
AI Engineering
LangChain • MCP • AI Agents • RAG • Prompt Engineering • Python • TypeScript
I enjoy helping engineers:
- Transition into Backend Development
- Learn Java & Spring Boot
- Master DSA
- Prepare for Product-Based Companies
- Improve System Design Skills
- Understand Distributed Systems
- Explore AI Engineering
Build things that scale.
Learn continuously.
Share knowledge generously.
Help others grow.
⭐ Building scalable systems, AI-powered applications, and developer tools.