I amRAHUL JENA
Developing high-performance Java services, Spring Boot backends, and systems automation tools.
Aspiring Java Full Stack Developer actively seeking full-time software engineering opportunities. Hands-on experience building end-to-end applications, multi-threaded data processing utilities, and RESTful web services using Core Java, Spring Boot, and React. Committed to writing clean, maintainable code, robust OOP design, and contributing to engineering teams.
Systems & Performance Metrics
Quantitative benchmarks from large-scale data processing and systems engineering utilities.
High-throughput photo metadata pipeline processing bulk libraries with zero I/O bottleneck.
Dynamic regex JSON suffix matching with in-memory directory caching for instant reconciliation.
Non-destructive processing with strict validation checks and copy-based restoration workflows.
Native OS support across Windows, macOS, and Linux with standalone binary packaging.
Live progress telemetry and event logs streamed over full-duplex WebSocket protocols.
Technical Skills
Proficiencies across backend engineering, database architectures, and modern development workflows.
BACKEND & CORE ARCHITECTURE
DATABASE & DATA ENGINEERING
FRONTEND & WEB TECHNOLOGIES
TOOLS, CLOUD & DEVOPS
Featured Engineering Work
Deep dive into algorithmic architectures and full-stack solutions built to scale. Click on any project card to review technical systems.
Google Photos Takeout Merger
High-performance metadata pipeline built with Spring Boot and multi-threaded processing to restore Google Photos metadata at scale.
- Built a high-performance metadata pipeline using Spring Boot with a thread-pooled engine processing 50GB+ photo libraries; implemented dynamic regex JSON suffix matching for truncated filenames with sub-millisecond O(1) in-memory directory lookups.
- Engineered platform-agnostic system integration supporting Windows, macOS, and Linux with native OS file dialogs; automated standalone executable packaging via CI/CD requiring zero runtime installations for users.
Drowsiness Detection System
Real-time facial tracking and eye movement analysis system to detect drowsiness and prevent vehicular accidents.
- Engineered a real-time video processing pipeline using OpenCV and dlib, applying Eye Aspect Ratio (EAR) signal analysis to detect drowsiness with 95% accuracy.
- Designed threshold-based event detection logic with low-latency audio-visual alert dispatch, achieving sub-28ms frame latency for real-time responsiveness.
AutoML Regression Utility Hub
An automated machine learning web application streamlining exploratory data analysis, model selection, and regression benchmarking.
- Architected an end-to-end data pipeline web application that ingests raw tabular datasets, automates preprocessing, and benchmarks multiple regression models — cutting analysis time by 40%.
- Designed and built the full-stack interface (HTML/CSS/JavaScript backend integration) for dataset upload, model selection, and results visualization, reducing user friction by 30%.
Publications & Research
A survey on drowsiness detection system with advanced face tracking
Proposed an advanced Drowsiness Detection System using facial tracking and eye movement analysis to improve safety for drivers and industrial workers. Detailed evaluation on facial landmark prediction, lighting invariance, and real-time inference latency.
Education & Certifications
Formal education credentials and validated industry certifications in Java, Cloud, and Software Engineering.
Education
B.Tech, Artificial Intelligence & Machine Learning
ACE Engineering College, Hyderabad
Intermediate Board of Education
Sri Chaitanya Junior College
SSC (Secondary School Certificate)
Sri Chaitanya High School
Certifications (6)
Oracle Cloud Infrastructure 2025 Developer Professional
Core JAVA Bootcamp from Zero to Hero
Introduction to Software Engineering
CCNAv7: Introduction to Networks
Machine Learning
PCAP: Programming Essentials in Python
Get In Touch
Currently available for Software Engineering, Java Full Stack, and Backend Developer opportunities.
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