Looking for a job

Pranay Thakur

@pranayth

Final-year AI engineering student building production ML, multi-agent LLM pipelines, and full-stack Python apps—ready as an AI/ML Engineer.

India

Message

What I'm looking for

I’m seeking AI/ML Engineer or Python full-stack roles where I can build production-grade ML and LLM systems—RAG, multi-agent pipelines, and scalable microservices—ship measurable performance improvements, and collaborate in fast-moving teams.

I’m a final-year AI engineering student (graduating May 2026) with hands-on experience building production-grade ML systems, multi-agent LLM pipelines, and full-stack Python applications. I’ve proven impact across model training, RAG architectures, microservice design, and LLM integration—while consistently focusing on reliability, scalability, and measurable performance.

In my internship at Neugence.ai, I applied NeRF for 3D visualization, deployed Flask REST APIs handling ~1,000 concurrent requests, and led intern coordination for ML workflow delivery across teams. From hackathon finalist work like SHIELD’s multimodal exam proctoring with real-time WebSockets and audit logging, to knowledge-graph extraction (NEBULA) and governance-focused multi-agent decision intelligence (Decision Trace), I enjoy shipping end-to-end AI solutions that blend solid engineering with intelligent behavior.

Experience

Work history, roles, and key accomplishments

AI/ML Intern

Neugence.ai

Aug 2024 - Oct 2024 (2 months)

Applied Neural Radiance Fields (NeRF) to build a 3D visualization pipeline with geometric consistency validation using linear-algebra spatial graphing. Developed and deployed Flask REST APIs handling ~1,000 concurrent requests and improved latency via connection optimization, while leading intern ML workflow coordination and onboarding tool delivery across 3 teams.

Neural Radiance Fields Linear Algebra Flask REST APIs Performance Optimization Concurrency Team Coordination

Education

Degrees, certifications, and relevant coursework

SRM Institute of Science and Technology (SRMIST)

B.Tech in Artificial Intelligence, Artificial Intelligence

2022 - 2026

Activities and societies: Relevant coursework: Machine Learning, Deep Learning, NLP, Data Structures & Algorithms, Software Engineering.

B.Tech in Artificial Intelligence at SRMIST from Aug 2022 to May 2026, graduating in May 2026. Completed coursework in Machine Learning, Deep Learning, NLP, Data Structures & Algorithms, and Software Engineering.