Full Stack Developer skilled in Java, Spring Boot, React.js, Python & REST API development with strong knowledge of DSA and OOP. Building scalable systems and real-world AI solutions using Machine Learning and Deep Learning.
I'm Chittypolu Deepak, a Full Stack Developer and AI/ML practitioner based in Khammam, Telangana. I build robust, scalable web applications and intelligent backend systems with a relentless focus on clean architecture and performance.
Currently pursuing my B.Tech in Computer Science & IT at KL University, Vijayawada (CGPA: 9.32/10), I bring hands-on experience from a Google-AICTE AI/ML internship and four production-grade projects spanning job portals, accident detection, and predictive analytics.
I thrive at the intersection of backend precision and AI-driven intelligence — turning complex business problems into elegant, production-ready solutions.
Deep interest in YOLOv8, OpenCV, and building real-time detection systems that solve critical safety problems.
Expert at designing end-to-end platforms with Spring Boot microservices, React.js frontends, and optimized SQL/NoSQL databases.
Building predictive models with Scikit-learn, advanced feature engineering and preprocessing — improving prediction accuracy by 35%+.
A curated toolkit of technologies I use to craft scalable applications and intelligent systems.
End-to-end applications built with production-grade architecture and real-world impact.
Engineered a scalable full-stack job portal using Spring Boot, React.js, and MySQL with secure JWT-based authentication and role-based access control for recruiters and candidates. Optimized RESTful APIs reduced job retrieval time through query optimization and API performance enhancements.
Designed and implemented an intelligent accident detection system using YOLOv8 and OpenCV to identify road accidents from live CCTV feeds with high detection accuracy. Integrated automated alert mechanisms, real-time monitoring workflows, and optimized detection pipelines to improve emergency response efficiency.
Developed a machine learning regression model to predict real estate prices using datasets containing location, area, and amenities features. Improved prediction accuracy by 35% through advanced feature engineering, preprocessing, and hyperparameter tuning, enabling reliable data-driven price estimation.
Built an ML classification system using Logistic Regression and feature extraction techniques to distinguish claims from opinions in textual content. Enhanced model efficiency and classification performance through optimized preprocessing, feature selection, and evaluation workflows for accurate and scalable text analysis.
From code to competition — discipline and drive define everything I pursue.
Open to full-time roles, internships, and exciting collaboration opportunities. Let's connect.
Whether you're a startup looking to scale, an enterprise exploring AI integration, or a recruiter with an exciting opportunity — I'd love to connect and explore what we can build together.