Building scalable software systems from backend services to AI-powered applications.
- 💻 Software Engineer with nearly 3 years of experience designing, developing, testing, and supporting scalable backend services and distributed systems
- ⚙️ Experienced with Java, Spring Boot, REST APIs, gRPC, relational and NoSQL databases
- ☁️ Hands-on with cloud-native development using AWS, GCP, Docker, Kubernetes, and Terraform
- 🔄 Built distributed and event-driven workflows using Apache Kafka, Flink, and Spark
- 🤖 Building AI applications using LLMs, LangChain, LangGraph, RAG, MCP, Anthropic AI, and Azure OpenAI
- 🧪 Experienced with automated testing, CI/CD, monitoring, and production support
- 🎓 M.S. in Information Systems from Northeastern University
🔎 More about how I work...
I enjoy building maintainable software across the complete development lifecycle — from understanding requirements and designing services to implementation, testing, code review, deployment, observability, and production support.
My interests include scalable backend architecture, distributed systems, cloud infrastructure, event-driven applications, and applying modern AI technologies such as RAG and agentic workflows to practical software engineering problems.
|
Anthropic API · Tool Calling · MCP Built a goal-driven AI agent using the Anthropic API with tool-calling and MCP-style wrappers. The system plans and executes multi-step automation tasks while exploring practical trade-offs between traditional Generative AI and agentic AI architectures. Key Areas
|
Spring Boot · LangChain · Kafka · PostgreSQL/pgvector · Ollama · TensorFlow Developed a Retrieval-Augmented Generation platform for document ingestion, semantic retrieval, and context-aware question answering. The platform combines backend services, event-driven processing, vector search, local LLM execution, and embedding workflows. Key Areas
|
| 🚀 Metric | 📈 Result |
|---|---|
| Application Scale | 100K+ users / requests |
| Event Processing | 2M+ daily events |
| Incident Detection | ↓ 40% |
| Testing Accuracy | ↑ 25% |
| Primary Engineering Focus | Backend & Distributed Systems |
| AI Focus | RAG & Agentic AI |
M.S. in Information Systems
Sep 2023 – May 2025 · USA
B.E. in Electronics & Communication Engineering
Aug 2017 – Jul 2021 · India
{
"Backend Engineering": [
"Distributed Systems",
"Scalable APIs",
"Event-Driven Architecture"
],
"Cloud": [
"AWS",
"GCP",
"Kubernetes",
"Terraform"
],
"AI Engineering": [
"LLMs",
"RAG",
"Agentic AI",
"LangGraph",
"MCP"
]
}"Building scalable systems and exploring how AI can make software more capable."
Let's connect and build something impactful 🚀
```