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deepak chandra

@deepakchandra2

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AI/ML engineer building RAG systems, including a pipeline that source-tagged 1,034 research-paper chunks.

India

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What I'm looking for

I’m looking for AI/ML engineering and software engineering roles where I can build, evaluate, and ship dependable AI-powered systems.

At Aegion Dynamic Solutions, I developed a Python annotation pipeline that converted 31 research PDFs into 1,034 semantic chunks tagged with source metadata. I also benchmarked LangChain semantic chunking with MiniLM and BGE embeddings against fixed-length splitting for LLM-based document reasoning.

At Sagenex Pvt Ltd., I’m building the backend of a multi-tenant project-management platform with TypeScript, MongoDB, and Redis. I built REST APIs, asynchronous job processing, and unit tests; the backend has 1,014 passing tests. I’m looking for AI/ML engineering and software engineering roles where I can build, evaluate, and ship dependable AI-powered systems.

Experience

Work history, roles, and key accomplishments

Current

Full Stack Developer Intern

Current

Sagenex Pvt Ltd

Jul 2026 - Present (4 months)

Building the backend of a multi-tenant project-management platform in TypeScript (Bun, Express 5, MongoDB, Redis).

- Built REST APIs across a platform scoped at 180 endpoints in 16 modules, with JWT authentication and role-based access control (4 roles, 37 permissions).
- Built asynchronous job processing with BullMQ (exponential-backoff retries, idempotent job IDs) and AWS S3 file storage.
- Wro

Machine Learning Intern

Aegion Dynamic Solutions

Mar 2025 - Oct 2025 (7 months)

Worked on the data and retrieval layer of an LLM-based document-reasoning system built on retrieval-augmented generation (RAG).

- Developed a Python annotation pipeline that converted 31 research PDFs into 1,034 semantic chunks, each tagged with source metadata so retrieved context can be traced back to its originating document.
- Benchmarked three chunking strategies for LLM-based document reaso

Frontend Web Developer

Spotmies LLP

May 2023 - Jul 2023 (2 months)

- Built responsive React.js UI components for client-facing web applications, turning designers' layouts into interfaces that work across desktop and mobile screens.
- Worked with backend developers to connect the UI to application data.