Hi, I'm Jai Akash K
Computer Science Engineer passionate about building robust Java (Spring Boot) & Python (FastAPI / Flask) backends, deploying high-performance Computer Vision (YOLO, OpenCV, ONNX) pipelines, and architecting scalable full-stack applications.
const developer = {
name: "Jai Akash K",
degree: "B.E. Computer Science & Eng.",
institution: "UCE, Tindivanam",
cgpa: 8.34,
corePillars: [
"Java & Spring Boot Backends",
"FastAPI & Flask REST Engines",
"Computer Vision & YOLO ONNX",
"AI/ML Model Training & Bias Mitigation"
],
mindset: "Passionate, Fast Learner, Impact Driven",
isReadyToCollaborate: () => true
};
// Output: Ready to build high-performance systems!
export default developer;About Jai Akash
Dedicated Fresher with strong software engineering fundamentals and proven hands-on project execution.
Executive Summary
Dedicated and motivated Computer Science fresher with solid foundations in software architecture, algorithm design, and full-stack backend development. Passionate about engineering high-efficiency systems, deploying production-ready AI/ML workflows, and optimizing real-time computer vision inference.
Actively seeking a software development role where I can bring immediate value, solve complex technical challenges, learn continuously, and contribute directly to high-impact products.
Education
University College of Engineering
Tindivanam (Anna University Constituent)
Strong coursework in Data Structures & Algorithms, Database Management, Operating Systems, Computer Networks, and AI.
Core Engineering Values
- Clean & Maintainable Code: Adhering to SOLID principles & modular architecture.
- Performance First: Sub-millisecond latency & optimized ONNX inference.
- Continuous Upskilling: Exploring latest GenAI, cloud native & distributed systems.
Quick Information & Contact Details
Training & Internship Experience
Real-world engineering impact across computer vision pipelines and full-stack web applications.
Software Development Intern
- AI Object Detection Systems: Developed end-to-end computer vision solutions leveraging Python, YOLOv8, OpenCV, and ONNX runtime for automated real-time object identification.
- FastAPI Web Application: Engineered high-concurrency FastAPI microservice to stream live camera / RTSP video feeds and visualize bounding-box detection metrics with minimal latency.
- Dataset & Model Lifecycle: Orchestrated custom dataset annotation, hyperparameter tuning, model validation, ONNX conversion, and edge deployment pipelines.
MERN Stack Development Intern / Trainee
- Full-Stack Architecture: Gained intensive hands-on experience building dynamic web apps, implementing RESTful API integrations, and managing NoSQL data models.
- Interactive UI & State: Built responsive React.js frontends connected seamlessly with Node.js and Express.js backends and MongoDB database clusters.
- Secure Auth & Routing: Implemented JWT authentication, password hashing, and clean RESTful endpoint routing.
Technical Skills Arsenal
A comprehensive toolkit spanning core programming, backend architecture, machine learning, and DevOps.
Programming Languages
Web & Frameworks
AI, ML & Computer Vision
Cloud, DevOps & Databases
Featured Engineering Projects
Real-world AI/ML systems, Computer Vision solutions, and scalable backend implementations.
Employee Attendance System
Role-based Attendance Management with Next.js & NestJS
- Developed a full-stack employee attendance management system using Next.js and NestJS with role-based workflows for employee and administrative operations.
- Integrated Firebase Authentication and Cloud Firestore for secure user management and real-time storage of employee attendance records.
Shipping Sack Load Counter
Real-time Computer Vision System for Automated Load Counting
- Developed a real-time computer vision system to count bags loaded into and unloaded from Warehouses and wagons using YOLO object detection and ByteTrack tracking.
- Processed RTSP camera streams with OpenCV and implemented virtual-line crossing logic to identify the direction of bag movement.
DocuVoice
General-purpose Document Extraction System via Tesseract OCR
- Developed a general-purpose document extraction system using Tesseract OCR to extract text from resumes, invoices, bills, and other business documents.
- Implemented document preprocessing and OCR pipelines using Python and OpenCV to improve text extraction from different document formats and image qualities.
Custom Face Authentication Software
Intel RealSense Hardware Integration for Biometric Login
- Developed a custom face authentication application using the Intel RealSense ID F455 biometric camera for user enrollment and authentication.
- Integrated the RealSense ID hardware with application-level authentication workflows to perform real-time facial identity verification.
FairLens — Fair Loan Approval System
Machine Learning-based loan approval with fairness-aware model evaluation
- Developed a machine learning-based loan approval system using the UCI Adult dataset to evaluate model predictions across demographic subgroups.
- Implemented fairness-aware model evaluation and reweighting techniques to reduce disparities in loan approval outcomes.
- Evaluated model performance using accuracy, precision, recall, false-negative rates, and demographic parity across sensitive attributes.
VLM Image Captioning & VQA
Vision-Language application for dynamic image captioning and Q&A
- Developed a Vision-Language Model application using BLIP to generate descriptive captions from input images.
- Implemented visual question answering (VQA) functionality to answer natural-language questions based on image content.
- Integrated the vision-language model with a Flask-based application interface for interactive image analysis.
Developer CLI Console
Type commands or click quick-actions below to interactively explore Jai's profile.
Focus: Java (Spring Boot), Python (FastAPI/Flask), Computer Vision (YOLO/ONNX), AI/ML Model Training.
Education: B.E. CSE @ UCE Tindivanam (CGPA: 8.34/10).
Certifications & Accreditations
Continuous professional development verified by industry leaders.
Google Gen-AI Certification
Comprehensive foundation in generative AI architectures, large language models, prompt engineering, and modern AI application development.
Programming in Java (Elite)
Mastery of Java OOP principles, JVM memory models, multithreading, exception handling, data structures, and standard library architectures.
MERN Stack Web Development
Full-stack web engineering training covering React.js component lifecycle, Node.js server architecture, Express middleware, and MongoDB database management.
Google Data Analytics
Rigorous training in SQL data querying, statistical data cleaning, exploratory data analysis (EDA), and data-driven decision making pipelines.
Let's Build Something Exceptional
Looking for an enthusiastic, skilled software developer for your team? Let's connect!
Contact Information
Feel free to reach out directly via email, phone, or LinkedIn. I typically respond within a few hours.
Send a Direct Message
Send a note regarding job opportunities, project collaboration, or general inquiries.