
Aspiring engineer with solid programming foundations and hands-on internship experience, eager to contribute and innovate as a Trainee Engineer at a global organization.
Bachelor of Technology in Information Technology
Vidya Jyothi Institute of TechnologyCGPA - 8.50.
Diploma in Electronics and Communication Engineering
TRR Institute of TechnologyCGPA - 9.6.
Secondary School Education
Krishnaveni Talent High SchoolCGPA - 9.8.
Java Developer intern
SenecaGlobal IT ServicesDeveloped Java/Spring Boot applications across the full SDLC, built RESTful APIs and microservices using strong OOP principles, collaborated with teams for requirement clarity, and performed root-cause analysis and debugging to deliver optimized, error-free modules.
Salesforce Developer Virtual Internship
Salesforce | Smart BridgeCertified Salesforce Developer – Agentblazer Champion (SmartBridge & AICTE): Completed 8-week internship with Apex, LWC, superbadges, and Salesforce automation projects.
Passionate, Adaptability, Problem Solving, Time Management, Team Collaboration
AI-Powered Pull Request Review Agent
Tech Stack : Python, FastAPI, Groq Llama 3.3, GitHub API, Postman
Developed a multi-agent backend system that fetches GitHub PR diffs, analyzes code quality, detects issues, and generates human-like review comments. Implemented clean architecture, modular orchestration, and API-driven automation to streamline the code review workflow and reduce manual effort.
Fitness Application Using AI and Microservices
Tech Stack : Java, Spring Boot, React, MySQL, Mongodb, Microservices, Gemini , Postman
Built a full-stack AI-powered fitness application using Spring Boot microservices (User, Activity, AI), React, and Keycloak for secure OAuth2 authentication. Integrated Google Gemini to generate personalized workout recommendations based on user activity data stored across MySQL and MongoDB. Implemented service discovery, API Gateway routing, and asynchronous communication with Eureka, Config Server, and RabbitMQ for a scalable, production-ready architecture.
Vehicle Number Plate Detection Using Deep Learning
Tech Stack : Python, OpenCV, YOLO V8, Tesseract OCR, Twilio API
Built a real-time system using YOLOv8 and OCR to detect and recognize vehicle license plates from video feeds, transmitting results via SMS/WhatsApp. Enhanced traffic monitoring at unmonitored junctions for law enforcement and safety.
E-COMMERCE Platform
Tech Stack : Java, Spring Boot, Spring MVC, React, MySQL, Rest API, GithHub
Built a full-stack e-commerce platform using Spring Boot, React.js, and MySQL with JWT authentication, product management, and secure REST API integration for a seamless shopping experience.
Harshith Kavali