---
title: "GAJULA VAMSHI - AI Engineer (Independent Projects) in Greater Hyderabad Area | Tal"
description: "Meet GAJULA VAMSHI, AI & ML Enthusiast | Intern at Prodigy InfoTech | LLM Systems | Computer Vision | RAG | Azure AI based in Greater Hyderabad Area."
image: "https://tal.club/meet/gajula-vamshi/share-image"
---

# GAJULA VAMSHI on Tal

## Headline

AI & ML Enthusiast \| Intern at Prodigy InfoTech \| LLM Systems \| Computer Vision \| RAG \| Azure AI

## About

I am an AI Engineer focused on building applied, end\-to\-end AI systems using Large Language Models, Computer Vision, and practical AI tooling\. Currently, I am developing NOVA, an offline\-first AI companion system powered by local LLMs \(Ollama\), designed to function without internet connectivity while enabling online automation, real\-time search, and productivity workflows when connected\. I have hands\-on experience with Computer Vision \(YOLO, OCR\), Graph\-based RAG systems \(Neo4j \+ LLMs\), and LLM\-based application development using Python and Flask\. Additionally, I have gained practical exposure to Azure AI services through an 15 Days Infosys–training program organized by ICT Academy , including Microsoft's AZURE AI Services \-Resource Groups, Foundry, model deployment workflows, Playgrounds, and content filtering\. My work emphasizes transforming AI models into usable products, not just experiments\. I am actively seeking full\-time roles in AI Engineering, AI/ML Engineering, Computer Vision, or GenAI, where I can contribute to building scalable, real\-world AI solutions while continuing to deepen my cloud and MLOps skills\.

## Location

Greater Hyderabad Area

## Work experience

AI Engineer \(Independent Projects\) at Freelance, 2024 \- Present · 2 yrs 6 mos, • Designing and developing applied AI systems with a focus on real\-world usability and end\-to\-end workflows\. • Building NOVA, an offline\-first AI companion system using local LLMs \(Ollama\) with planned integration of automation, vision, and productivity features\. • Implemented Graph\-based RAG pipelines using Neo4j and LLMs for structured knowledge retrieval and reasoning\. • Developed real\-time computer vision applications using YOLO and OCR for detection and recognition tasks\. • Gained hands\-on exposure to Azure AI services through an Infosys–ICT Academy training program, including AI Foundry, model deployment workflows, Playgrounds, and content filtering\. • Emphasized modular architecture, clean APIs, and transforming AI models into usable products, not just experiments\.

Generative AI Intern at Prodigy InfoTech, Jan 2026 \- Feb 2026 · 2 mos, Remote, • Fine\-tuned GPT\-2 transformer model on a custom dataset for contextual text generation using HuggingFace Transformers\. • Implemented text\-to\-image synthesis using Stable Diffusion \(runwayml/stable\-diffusion\-v1\-5\) via HuggingFace Diffusers\. • Developed a statistical language model for text generation using Markov Chains\. • Designed and implemented a pix2pix\-inspired Conditional GAN for image\-to\-image translation\. • Built end\-to\-end generative AI pipelines for NLP and computer vision tasks using PyTorch\.

## Education

Bachelor of Engineering \- BE, Artificial Intelligence, OSGU Hisar

[View the original profile](https://tal.club/meet/gajula-vamshi)

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