About Jeet
Agentic Engineer & data enthusiast based in Bangladesh. Bridging the gap between frontier AI reasoning and scalable, real-world data pipelines.
I specialize in designing and implementing Agentic AI architectures — software where models do not just chat, but autonomously plan, orchestrate tasks, execute code, and query heterogeneous data stores.
My journey began in deep data pipelines, wrangling high-throughput streams and optimizing analytical databases. When large language models unlocked reasoning capabilities, combining robust data infrastructure with autonomous agent systems became my core obsession.
When I'm not architecting multi-agent loops or tuning vector stores, you can find me experimenting with modern frontend interfaces, digging into open-source repositories, or writing about AI engineering.
Skills & Tech Stack
Experience Journey
Agentic Systems & AI Tool Execution
Designing autonomous multi-agent swarms with tool use, persistent memories, and deterministic fallback loops. Focusing on enterprise RAG and production LLM orchestration.
Data Streaming & Event Architectures
Built distributed event streaming pipelines processing telemetry data using Apache Kafka, PostgreSQL, ClickHouse, and Python microservices.
Full-Stack Software Engineering
Developed web applications, modern RESTful and WebSocket APIs, and interactive frontend interfaces using React, Next.js, TypeScript, and Node.js.
Engineering Philosophy
Interested in collaborating?
Check out my projects or get in touch for new opportunities and consulting.