Headline

AI Engineer | Ex Engineer & Research Intern @TCS | Ex Intern @IIIT Hyderabad | AIR 7 in Codevita `22 | CS Grad `23

About

I’m an AI Engineer at Mindfire Digital LLP with a strong interest in AI and machine learning. I enjoy building smart systems that solve real-world problems. At TCS, I’ve worked on projects like fingerprint recognition, data privacy tools, and AI-powered chatbots. I’ve trained models to detect patterns, fine-tuned large language models, and updated older systems to be faster and more accurate.

Location

Hyderabad

AI stack

claude code

codex

cursor

github copilot

kiro

mcp

Work experience

AI Engineer at Mindfire Solutions, Aug 2025 - Present · 1 yr 4 mos, Remote

System Engineer at Tata Consultancy Services, Oct 2023 - Aug 2025 · 1 yr 11 mos, Hyderabad, Telangana, India, 1. Trained a fingerprint image pattern classification model and an orientation detection model using the ConvNeXt architecture, achieving 98% accuracy. 2. Designed and developed a comprehensive AI framework, including a chatbot with chat history and session management, document utilities such as summarization and classification, and retrieval-augmented generation (RAG). 3. Fine-tuned LLMs to generate SQL queries based on a given database schema and question. 4. Updated the legacy code for the fingerprint feature extractor to the latest OpenCV versions, improving feature extraction accuracy by employing advanced image processing techniques. 5. Implemented the Minutia Cylinder Code paper for orientation-independent fingerprint matching. 6. Trained a Detectron2 model to automatically mask sensitive information (Aadhaar numbers, fingerprints) in property registration documents. 7. Refactored and enhanced a legacy fingerprint feature extractor, improving accuracy with advanced image processing techniques and CUDA to support GPUs.

Research Intern at Tata Consultancy Services, Feb 2023 - Jun 2023 · 5 mos, Hyderabad, Telangana, India, 1. Developed and trained an autoencoder model to enhance the quality of latent fingerprints with 0.9 SSIM. 2. Built NFIQ2 shared library and called it from Wrapper (Python & Java) to measure the fingerprint quality.

Intern at IIIT Hyderabad, Mar 2022 - May 2022 · 3 mos, Remote, 1. Worked on data collection, cleaning and analysis. 2. Developed python scripts to automate article generation with data prepared.

Education

Bachelor of Technology - BTech, Computer Science, Vasireddy Venkatadri International Technological University

Public links

github: https://github.com/vamsivallepu