Open to opportunities

Vivek Pusala

@vivekpusala

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I build practical AI applications using LLMs, RAG, and computer vision.

India

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What I'm looking for

I'm looking to build practical AI products where I can apply LLM, RAG, machine learning, and computer vision skills, learn from experienced teams, and communicate complex AI ideas clearly.

I've built AI-powered products including AffectLearn, a RAG-based STEM tutoring platform using TinyLLaMA, FAISS, RoBERTa, and CNNs to deliver personalized, emotion-aware learning support.

During my AI/ML internship at Languify, I built and trained Vision Transformer models in PyTorch, owning preprocessing, training, evaluation, and iterative performance improvements. My bachelor's thesis developed a multimodal framework for renal and bladder cancer classification using CT, clinical, and genomic data, resulting in a co-authored research paper accepted for publication.

I've also built TravelMate, a privacy-preserving LLM travel assistant, and EcoSphere, a climate-smart housing recommendation system that achieved an AUC of 0.92. I enjoy turning complex AI concepts into practical explanations and experimenting independently with new tools and frameworks.

Experience

Work history, roles, and key accomplishments

AI & ML Intern

Languify

Aug 2024 - Sep 2024 (1 month)

Built and trained Vision Transformer (ViT) models in PyTorch for a core computer vision task. Owned the end-to-end pipeline including data preprocessing, model training, and evaluation, iterating through experimentation cycles to improve performance.

PyTorch Vision Transformer Computer Vision data preprocessing Model Training Model Evaluation