About Me
As a Software Engineer specializing in Trustworthy AI & Full-Stack Development, I thrive on architecting scalable solutions and diving deep into machine learning research. My journey began at NIT Warangal and has taken me through impactful roles at places like Mastercard and the Alan Turing Institute. Currently, as a thesis-track Master's student at George Washington University, I'm exploring the nuances of human-robot interaction and trust. When I'm not fine-tuning models or building full-stack applications, you can probably find me planning my next trek.
Education
Master of Science in Computer Science
George Washington University
2024 – 2026
Bachelor of Technology in Computer Science & Engineering
National Institute of Technology, Warangal
2017 – 2021
My Journey
AI Developer Intern
George Washington University
Washington DC, USA | May 2025 - Aug 2025
Software Engineer II
Mastercard
Pune, India | July 2021 - Aug 2024
Machine Learning Researcher
Alan Turing Institute
London, UK | Jan 2021 - July 2021
Undergraduate Research Assistant
National Institute of Technology, Warangal
Warangal, India | July 2019 - Aug 2020
Software development Intern in Automation & QA
Setu.co
Bengaluru, India | May 2019 - July 2019
Research Intern
Indian Institute of Science
India | May 2018 - July 2018
My Skills
Frontend
ReactJS, Next.js, JavaScript, TypeScript, HTML5, CSS3, Tailwind CSS
Backend
Python, Golang, Java, C++, Django, Flask, NodeJS, PostgreSQL, MySQL, MongoDB, Redis
Tools, AI/ML & Cloud
Git, Docker, Vercel, PyTorch, TensorFlow, RAG, Vector Search, CUDA
Publications
Behavioral Data Science in financial services
Forthcoming in Handbook of Behavioural Data Science, Cambridge University Press, 2025
Co-authored with Prof. Ganna Pogrebna, Pruthvi Taranath.
View Publication →INASNET: Automatic identification of coronavirus disease (COVID-19) based on chest X-ray using deep neural network
ISA Transactions, 2022
Co-authored with Prof. M. Srinivas, Murukessan Perumal, et.al.
View Publication →Multi Features Based Facial Expression Recognition
Machine Learning Algorithms and Applications book chapter, Wiley Press, 2020
Co-authored with Prof. M. Srinivas, S. Saurav, and Murkeshan A P.
View Publication →Forged File Detection and Steganographic content Identification (FFDASCI) using Deep Learning Techniques
CLEF (Working Notes)
Co-authored with Prof. M. Srinivas, A Nayak, A Bhatt.
View Publication →Research Log
My Projects
Master's Thesis
Conducting advanced research in Trust Calibration in Robot Assistance via Multimodal Error Detection.
Fine-Tuning LLM for Code Generation
Fine-tuned Deepseek Coder 7B on 5,000 programming problems to improve task-specific reasoning.
Go Audio Visualizer Tool
A web app to process .wav files, execute STFT, and visualize time-frequency spectrograms using Go.
Veritas Core
A Java-based simulator for a custom 16-bit CISC instruction set architecture (ISA) with a FIFO cache.
Satya
A full-stack anti-corruption platform providing secure incident reporting via web and a native Android client.
Agni
An E-voting system architected with Elliptic Curve Cryptography (ECC) for secure, non-repudiable voter authentication.
Brahmastra
An innovative solution for disaster relief that bridges communication gaps in low-network areas using USSD/SMS.
Get In Touch
I'm currently open to new opportunities and collaborations. If you have a project in mind, want to talk about AI, or just want to say hi, feel free to reach out!
Say Hello