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Nidhushan RajendranNR
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Nidhushan Rajendran

@nidhushanrajendran

I build production-ready agentic AI systems, RAG platforms, and scalable backend services.

Sri Lanka
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What I'm looking for

I'm looking to build real-world AI products, especially agentic AI, LLM applications, intelligent automation, and scalable backend systems, while growing through hands-on engineering work.

At SenzMate IoT Intelligence, I engineered a multi-agent financial analysis platform for U.S. public companies, automating 10-K extraction, daily top-10 company reports, and LLM-driven investment summaries.

I've built enterprise Agentic RAG systems, AI trip-planning applications, database question-answering tools, and log-classification systems using LangGraph, LangChain, FastAPI, PostgreSQL, Qdrant, and OpenAI API. My enterprise RAG project combines dense and BM25 retrieval, reranking, structured business-data queries, and asynchronous APIs for document indexing and real-time technical search.

I enjoy turning Machine Learning and Generative AI ideas into reliable deployed products, from multi-agent workflows and REST APIs to Docker, Nginx, and scalable backend operations.

Experience

Work history, roles, and key accomplishments

SI

AI/ML Engineer Intern

SenzMate IoT Intelligence

Nov 2025 - May 2026 (6 months)

Engineered a multi-agent Agentic AI financial analysis platform using LangGraph, built end-to-end data pipelines for 10-K filings, automated daily report generation, integrated PostgreSQL and Neo4j, load tested under 1,000 concurrent users, and deployed production-ready AI services with Docker, Nginx, and SSL.

Education

Degrees, certifications, and relevant coursework

University of Jaffna logoUJ

University of Jaffna

Bachelor of Science in Engineering, Computer Engineering

2022 - 2026

Pursuing a B.Sc Eng (Hons) in Computer Engineering, with coursework in machine learning, deep learning, embedded systems, artificial intelligence, robotics, software engineering, and database systems.

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