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Full Stack Engineer with less than a year in Java, Spring Boot & ReactJS.
AI is analyzing your overall score…
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Results-driven Computer Science graduate with hands-on experience in Java full-stack development, RESTful APIs, and cloud-ready web applications. Completed 8+ months of industry training at Codegnan IT Solutions, building production-grade systems with Spring Boot and React. Proven ability to integrate front-end and back-end components, work collaboratively with Git, and apply OOP principles, data structures, and algorithms to deliver clean, maintainable code. Eager to contribute to Heizen's AI-powered software delivery model and grow under senior engineering mentorship.
Sree Chaitanya College of Engineering
B.Tech · Computer Science & Engineering
August 1, 2021 – June 30, 2025
Codegnan IT Solutions
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August 1, 2025 – March 1, 2026
Hyderābād, Telangana, India
Bharat Intern
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February 1, 2024 – August 1, 2024
Karīmnagar, Telangana, India
Stock Price Prediction Model
March 1, 2025 – June 1, 2025
Engineered a hybrid deep learning model (LSTM + GRU) that combines NLP-based investor sentiment analysis with historical stock data for price prediction. Preprocessed large-scale datasets with Pandas and NumPy; applied tokenization and sentiment scoring with NLTK on financial news and social media feeds. Improved model accuracy through hyperparameter tuning, dropout regularization, and feature engineering—demonstrating strong problem-solving and analytical skills.
Secure IoT Data Sharing via Blockchain
November 1, 2024 – January 1, 2025
Architected a decentralized IoT data-sharing system in Java using blockchain storage and IPFS, eliminating single points of failure. Implemented AES-GCM encryption for data confidentiality and SHA-256 hashing for integrity verification—handling end-to-end security in a distributed environment. Demonstrated advanced backend engineering skills: API design in Java, cryptography integration, and distributed system design patterns.
Weather Forecast Web Application
October 1, 2022 – December 1, 2022
Built an interactive weather app consuming a public REST API; implemented async data fetching, live search, weather icons, and °C/°F unit conversion. Handled edge cases with robust error handling for invalid city inputs and network failures—showing attention to code quality and user experience.
Cultural Fit Analysis
The candidate shows a diverse technical interest, ranging from full-stack web development to AI/ML and blockchain, which suggests adaptability and a willingness to learn new technologies. The academic projects indicate a proactive approach to skill development. The internship experiences, though short, show engagement in team settings and practical application of skills.
Soft Skills & Operational Fit
The candidate's experience descriptions highlight collaboration in Agile-like environments, participation in code reviews, and problem-solving skills, indicating a good operational fit. The academic projects demonstrate initiative and analytical thinking.