Hello, I’m
Probir Sarkar

Leveraging the latest JavaScript methods and ES6 functional programming for creating robust and dynamic full-stack applications.

Proficient in using TypeScript, a superset of JavaScript, for dynamic web applications, emphasizing a better developer experience (DX)

Skilled in utilizing React.js to craft responsive and user-centric interfaces with reusable components, ensuring optimal performance.

Experienced with Next.js for building server-rendered and static websites, creating performant and SEO-friendly web applications.

Adept in Redux for managing state in React, ensuring a streamlined and predictable data flow for scalable and maintainable code.

Skilled in Node.js for scalable server-side apps, prioritizing asynchronous programming and efficient data handling.

Leveraging Express.js for modular server-side applications, prioritizing robust API creation and optimizing overall performance.

Experienced with NestJS for building efficient, reliable, and scalable applications, with a strong focus on TypeScript.

Utilizing AWS S3 for storage and Elastic Beanstalk for hosting to deploy and manage Node.js applications efficiently.

Harnessing MongoDB for agile and rapid data storage, enabling efficient management of unstructured data in Node.js applications.

Leveraging PostgreSQL for reliable and structured data storage, ensuring seamless management and retrieval in applications.

Applying Redis to optimize data caching, ensuring high performance and efficient access in applications.

Building deterministic, multi-step AI workflows and agents with explicit state management and tool orchestration.

Implementing streaming, structured outputs, and real-time AI features for production-grade web applications.

Designing schema-driven tool calling to safely connect AI models with APIs, databases, and internal services.

Implementing long-running, fault-tolerant AI workflows with retries, backoff, idempotency, and state persistence.

Offloading heavy AI workloads to asynchronous queues and scheduled jobs for scalability and reliability.

Serving open-source LLMs using vLLM for high-throughput, low-latency inference in self-hosted environments.

Using Git and GitHub for version control and collaboration, streamlining code management and project workflows.

Leveraging Docker for containerization, ensuring consistent deployment and scalability of applications across environments.