AI Engineer with less than a year in LLM evaluation and full-stack development.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
A B.Tech graduate in Information Technology, I enjoy building practical solutions, from AI-powered image processing to full-stack web applications. My current work with LLMs at NVIDIA has given me a strong understanding of AI model behavior and failure points. I am skilled in Python, AI/ML concepts, web technologies, and database management, with a passion for creating impactful and robust systems.
JNTUH
B.Tech · Information Technology
August 1, 2022 – June 30, 2026
NVIDIA
Data Annotator - LLM Evaluation
May 1, 2026 – Present
Hyderābād, Telangana, India
ARCI - Centre for IT Services
Data Analytics Intern
May 1, 2025 – July 31, 2025
Hyderābād, Telangana, India
VirtualFit - AI-Powered Virtual Try-On System
February 1, 2026 – March 31, 2026
Built a virtual try-on system where users can see how clothes look on them before buying — works both as a web app (React) and a mobile app (Flutter), so it’s accessible on whatever device someone’s using. Two modes: static try-on where you upload your photo and a clothing image and get a realistic composite output using a pre-trained vision model; and live try-on where the camera detects body posture in real time and overlays clothing as you move. Handled the Python image processing service that generates the try-on results, the Node.js backend for user auth and request handling, and the PostgreSQL database for storing user and job data. Got all three talking to each other cleanly.
Library Management System
August 1, 2025 – November 30, 2025
Full-stack web app to manage books, student records, and checkouts — designed the database schema, wrote the SQL queries, built the Django backend, and made a frontend that was actually easy to use. Spent some time thinking through the edge cases — what happens with concurrent checkouts, duplicate records, that kind of thing — and made sure the validation logic handled them properly.
Cisco Boost 5.0
Cisco
August 1, 2025 – Present
Cisco Network Defense
Cisco
July 1, 2025 – Present
IBM SkillsBuild Frontend Development
IBM SkillsBuild
August 1, 2024 – Present
3rd place - Poster Presentation BRECW
BRECW
January 1, 2024 – Present
Merit Scholarship
BRECW
January 1, 2023 – Present
2nd place - Blind Coding, National Tech Event BRECW
BRECW
January 1, 2022 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate initiative and a proactive approach to learning and applying diverse technologies, which aligns with an innovative culture. The experience at NVIDIA, even as a data annotator, shows exposure to industry-standard AI development pipelines. The breadth of skills across AI/ML, web development, and databases suggests adaptability and a willingness to tackle different challenges. Participation in coding competitions and poster presentations indicates a competitive spirit and engagement in academic communities.
Soft Skills & Operational Fit
The candidate's project descriptions highlight an ability to think through edge cases and design user-friendly interfaces, suggesting problem-solving skills and a user-centric approach. The NVIDIA role indicates attention to detail and structured feedback provision. The data analytics internship shows initiative in automation and data presentation. However, without direct interview data, assessing stress handling, team collaboration, and direct communication clarity is limited.