6:10 PM
07/10/2020
Node.js / MongoDB / Azure Blob / Three.js
Built full-stack application with 50MB file upload limit supporting audio, video, and image formats for future messaging and historical exploration.
Flask / Gemini API / RAG / Tailwind CSS
Developed AI-powered study assistant achieving First Runner-Up position with RAG pipeline using Google Gemini 2.0 at HackVerse Hackathon.
Flask / AdaBoost / ML
Achieved 98.75% accuracy using AdaBoost Classifier, outperforming other algorithms. Deployed secure Flask web application with data privacy controls.
TensorFlow / Flask / Socket Programming
Implemented distributed ML training across Raspberry Pi devices while preserving data privacy through local training.
Engineering clinics Project
Built and configured a custom NAS system using Raspberry Pi with advanced file sharing capabilities, remote access, and automated backup solutions.
AI Video Analytics / Computer Vision
Enhanced warehouse monitoring using AI-based video analytics with multiple use cases including face recognition and gunny bag counting agents.
Computer Science Engineering student at VIT-AP University with experience in Backend Development. My expertise includes Java, Python, SQL, JavaScript, HTML, CSS, and frameworks like TensorFlow, PyTorch, Flask, FastAPI, and more. I focus on Machine Learning, Deep Learning, and developing innovative solutions to real-world problems.
B.Tech in Computer Science and Engineering
• 2022-Present
CGPA: 8.3/10, Amaravati, India
Coursework: Data Structures & Algorithms, Database Systems, Computer Networks, Machine Learning
Intermediate Education, MPC
• 2020-2022
CGPA: 9.34/10, AP, India
Specialized in Mathematics, Physics, and Chemistry with foundation coursework in Computer Science.
ACM Student Chapter (VIT-AP)
• Aug 2023-Jun 2024
Led design initiatives for ACM events and technical workshops. Created promotional materials that increased event participation by 40%.
Collaborated with cross-functional teams to deliver consistent branding across digital platforms.
University Research Lab
• Jan 2024-Present
Contributing to research on federated learning applications in agriculture. Implementing distributed machine learning models on resource-constrained devices.
Technologies: TensorFlow, PyTorch, Raspberry Pi
Published comprehensive review analyzing FL applications in agriculture with 19 citations focus on crop yield prediction and disease detection while maintaining data privacy.
Citations: 19
Conducted advanced simulations analyzing genesis, composition, and dynamics of the Oort Cloud and its influence on solar system cometary activity.
Citations: 21
Strong expertise in Python for ML/AI applications, web development and data analysis.
Proficient in Java programming for application development.
Web development using JavaScript with HTML and CSS for frontend applications.
Machine learning frameworks for developing AI models and applications.
Python web frameworks for building robust and efficient APIs and web applications.
Expert in developing ML algorithms, including supervised and unsupervised learning techniques.
Building and training neural networks for computer vision, NLP, and other AI applications.
Creating adaptive layouts that work seamlessly across all devices and screen sizes.
Expert in Git workflows, branching strategies, and collaborative software development.
Designing scalable software architectures and distributed systems.
Recognized among 500+ participants at VIT-AP.
EricssonEdge Academia Program (selected from 17,000+ participants).
Generative AI, Gemini for Cloud, AI for Developers.
SmartInternz Certified.
April 2025
Developed innovative solution and achieved Runner-up position among numerous participants.
August 2024
Participated in Ericsson's academic program, gaining industry insights and hands-on experience with telecommunications technology.
April 2024
Published research exploring the mysteries and dynamics of the Oort Cloud in astronomy.
April 2024
Published research paper exploring federated learning applications and methodologies.
2022-Present
VIT-AP University, Andhra Pradesh. CGPA: 8.3/10
2020-2022
Rajiv Gandhi University of Knowledge Technologies. CGPA: 9.34/10, MPC