Open to opportunities

Surya Sanjan

@suryasanjan

Message

I build production-ready GenAI and machine learning pipelines for creative and analytical applications.

India

Message

What I'm looking for

I'm looking to build scalable GenAI and machine learning products, contributing to prompt pipelines, multi-agent workflows, model evaluation, and production backend deployment.

I've built end-to-end AI pipelines at UST Global, from unstructured-data preprocessing and model training to automated evaluation, model serving, and technical reporting.

My work spans GenAI, NLP, and deep learning: I built a BERT- and RNN-based resume ranking system at NIT Trichy, a LangChain and Groq YouTube URL summarizer, a Gemini-powered ATS checker, and an interpretable CNN–Vision Transformer gesture-recognition pipeline.

I enjoy turning generative models into scalable real-world products using Python, LangChain, CrewAI, FastAPI, Docker, and cloud deployment tools.

Experience

Work history, roles, and key accomplishments

AI Intern

UST Global

Aug 2025 - Feb 2026 (6 months)

Designed and deployed two end-to-end AI pipelines, managing production stages from data preprocessing to model training and evaluation. Optimized pipeline performance through data-cleaning workflows and benchmarked generative and deep learning architectures.

Python PyTorch TensorFlow data preprocessing Model Evaluation

Research Intern

NIT Trichy

Jun 2024 - Aug 2024 (2 months)

Built a resume ranking system using BERT embeddings and RNN scoring models, documenting the ML pipeline design and evaluation methodology. Explored sequence analysis architectures and designed an end-to-end ML pipeline for job-description matching.

BERT RNN Bi LSTM Transformers Cosine Similarity Machine Learning

Education

Degrees, certifications, and relevant coursework

Indian Institute of Information Technology, Kottayam

Bachelor of Technology, Computer Science and Engineering

2022 - 2026

Grade: 7.25

Pursuing a B.Tech in Computer Science and Engineering with a CGPA of 7.25. Coursework includes Data Structures, Algorithms, Machine Learning, Neural Networks, and Statistical Methods.