Nidhushan Rajendran
@nidhushanrajendran
I build production-ready agentic AI systems, RAG platforms, and scalable backend services.
What I'm looking for
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
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
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.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Portfolio
nidhushan01.github.io/portfolJob categories
Skills
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