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Nareen SaiNS
Looking for a job

Nareen Sai

@nareensai

I build AI-powered full-stack applications and intelligent traffic systems.

India
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What I'm looking for

I'm looking to build scalable, user-centric software and AI applications, contributing across full-stack development, backend systems, machine learning, and Generative AI while growing through collaborative engineering work.

I've built an AI Doubt Solver, a production-grade full-stack RAG application with an Express.js REST API, Hugging Face embeddings, Pinecone retrieval, and Groq's Llama 3.3 API. I designed automated PDF chunking, embedding, retrieval, reranking, and grounded response-generation workflows.

As a Software Development Intern, I've developed a decentralized intelligent traffic management system using SUMO and TraCI to simulate real-time traffic flow and optimize signal control across multiple intersections. I also implemented federated learning with Flower and Rust-based communication modules to support privacy-preserving, scalable traffic-node collaboration.

I've also designed RockStream, a normalized music-streaming database system using SQL, indexing, views, constraints, and analytical queries. I enjoy building scalable, user-centric applications across Python, Java, React, Node.js, databases, machine learning, and Generative AI.

Experience

Work history, roles, and key accomplishments

Education

Degrees, certifications, and relevant coursework

Keshav Memorial Institute of Technology logoKT

Keshav Memorial Institute of Technology

Bachelor of Technology, Computer Science and Engineering

2022 -

Grade: 7.85/10.0

Pursuing a B.Tech in Computer Science and Engineering with a GPA of 7.85/10.0.

Keshav Memorial Institute of Technology (KMIT) logoKK

Keshav Memorial Institute of Technology (KMIT)

Bachelor of Technology, Computer Science and Engineering

2022 -

Grade: 7.85/10.0

Pursuing a B.Tech in Computer Science and Engineering with a GPA of 7.85/10.0.

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