An enthusiastic and action-oriented pre-final year Computer Science Engineering student at VIT-AP University, passionate about Machine Learning, Artificial Intelligence, and Generative AI. I enjoy turning ideas into working solutions — from computer vision systems to reinforcement learning agents — while growing as a curious, collaborative problem solver.
I'm a pre-final year B.Tech Computer Science Engineering student at VIT-AP University, Amaravati, specializing in Machine Learning, Computer Vision, and Generative AI. I enjoy combining strong programming fundamentals with practical, real-world builds — from detection systems to reinforcement-learning agents.
My academic journey centers around bridging classroom concepts with hands-on projects. I've implemented real-time object detection with YOLOv8, trained reinforcement-learning agents, built NLP pipelines, and recently completed IBM's Advanced Generative AI certification — deepening my grasp of modern LLM-driven systems.
As an active problem solver and Technical Coordinator at my university's Milestone Club, I lead event execution and team coordination, preparing to step into roles at the intersection of applied AI/ML and full-stack software engineering.
How I've grown from programming fundamentals to building applied AI/ML systems.
Leadership and coordination roles where I've applied technical and organizational skills.
Technologies and tools I use to build intelligent, scalable software.
Languages I can comfortably speak, write, and read.
AI/ML, computer vision, and full-stack builds.
A local-first document intelligence web app that turns lengthy PDF and image-based documents into structured, multi-level summaries. Built for a company assignment/selection process: FastAPI backend with PyMuPDF + Tesseract OCR extraction, a TF-IDF-based extractive summarization pipeline (short/medium/long summaries, key points, readability stats, important terms), and SQLite-backed local analysis history — no external AI API required.
AI-guided digital support system for college students, designed for early detection, stigma-free access, and institutional mental-health support.
View GitHub →Responsive task-management web app with real-time task updates and authentication, built using HTML, CSS, JavaScript, and AJAX.
View GitHub →Real-time object detection and tracking system built with YOLOv8 and Python for accurate computer-vision-based recognition.
View GitHub →Reinforcement-learning agent that dynamically stabilizes a pendulum, learning balance through reward-based training.
View GitHub →NLP pipeline for sentence segmentation and topic-based text analysis using preprocessing and language-handling techniques.
Research Paper →Team project (Engineering Clinics — ECS 2002) using Arduino, an HC-SR04 ultrasonic sensor, and a NEO-6M GPS module to detect potholes in real time, alert drivers, and transmit location data to the cloud via ESP32.
View GitHub →Team project (Engineering Clinics — ECS 3001) integrating motion, light, and DHT11 temperature sensors with microcontrollers to automate lights and fans based on occupancy and ambient conditions, reducing unnecessary power consumption.
View GitHub →Real-time, hands-free computer control system that translates webcam-tracked hand gestures into cursor movement, clicks, scrolling, drag-and-select, and screenshots using OpenCV, MediaPipe hand-landmark tracking, and PyAutoGUI desktop automation.
View GitHub →A fully playable browser-based chess game with move validation, turn logic, and an interactive board UI, built from scratch with vanilla JavaScript.
Helping out on projects outside my own — collaborating, debugging, and building alongside others.
Helped a friend build a full-stack ticket booking platform for movies and concerts — visual seat maps, atomic seat-hold/booking with race-condition-safe concurrency, an auto-cascading waitlist, and QR-coded email tickets. Node.js/Express/Prisma + Socket.io on the backend, React/Vite/Tailwind on the frontend.
I'm currently open to internships, academic collaborations, and full-stack / AI-ML opportunities. If you have something interesting in mind, I'd love to hear about it.