Raahul Krishna Portfolio

Raahul Krishna Durairaju

I'm Designer

About Me

I’m a Master’s student in Computer Science at Cal State Fullerton, focused on building AI and machine learning solutions that solve real-world problems. My experience spans developing scalable MLOps systems, computer vision research, and automated AI pipelines.

At VSQUARE, I improved eye treatment diagnostics by 15% through computer vision models that integrated emotion recognition with 92% accuracy. I’ve built complex systems like DevOps Orchestra, which automates 95% of software delivery workflows using AI agents and Kafka, reducing deployment times and human errors.

Other projects include a real-time credit card fraud detection pipeline on AWS Lambda with sub-3-second latency, leveraging MLOps tools like DVC, Hydra, Weights & Biases, Evidently AI, and MLflow to ensure scalable, reliable, and monitored model deployment. I also developed a fact-checking news aggregator that processes 50,000+ articles daily with improved accuracy. My research in neural style transfer advanced image quality by 20% through novel transformer-based techniques.

I hold AWS Certified AI Practitioner and AWS Certified Cloud Practitioner certifications, which complement my technical skills by validating my expertise in designing and deploying AI solutions on the AWS cloud. These certifications have strengthened my ability to build scalable, secure, and cost-effective cloud-native AI systems that integrate seamlessly with modern infrastructure.

I work primarily with Python, PyTorch, TensorFlow, AWS, Kafka, Docker, Terraform, and MLOps frameworks to combine deep learning with robust infrastructure and deliver measurable impact.

Happy Clients

Projects

Hours Of Support

Skills

Programming Languages

Python
Java
C++
JavaScript
PHP
MySQL

Frameworks & Libraries

PyTorch
TensorFlow
Keras
Spark
Hadoop
React
Flask
LangChain
LangGraph
HuggingFace Transformers

DevOps & MLOps Tools

Git
AWS
GCP
Docker
Kubernetes
Terraform
Kafka
MLflow
DVC
Hydra
Weights & Biases
Evidently AI
GitHub Actions
Jenkins

Resume

Summary

Raahul Krishna Durairaju

I’m a Master’s student in Computer Science at Cal State Fullerton, passionate about building AI systems that solve real-world problems. My experience spans computer vision, MLOps, and scalable cloud infrastructure. I’ve led impactful projects such as AI-powered healthcare diagnostics, real-time election analysis, and the development of DevOps Orchestra—an AI-driven automation system that streamlines 95% of software delivery workflows. I’m driven to apply machine learning for meaningful impact across healthcare, security, and emerging technologies.

3130 Yorba Linda Blvd, Fullerton, CA-92831
(657) 631-8971
rahulkrish28@gmail.com

Education

Master of Science & Computer Science

August 2024 - May 2026

California State University Fullerton, Fullerton, California

Coursework: Advanced Database Management, Modern Software Deployment & Operations, Web Backend engineering, Advanced Algorithms, Artificial Neural Network, Software Design & Architecture.

Bachelor of Technology (Honours) & Computer Science & Engineering

July 2020 - May 2024

Puducherry Technological University, Puducherry, India

Coursework: Data Structures & Algorithms, Object Oriented Programming, Operating Systems, Computer Networks, Mobile App Development, Artificial Intelligence, Parallel and Distributed Systems, Cloud Computing, Machine Learning, Data warehousing and Data Mining, Data Science.

Professional Experience

Computer Vision Research Intern

April 2024– July 2024

VSquare MediTech, New Delhi, India

Improved eye treatment diagnostics accuracy by 15% by developing and deploying computer vision models using PyTorch and OpenCV for retinal and facial image analysis.
Integrated face emotion recognition into diagnostics software using PyTorch, TensorFlow, and MxNet, achieving 92% classification accuracy to support mental health screening.
Conducted in-depth research on state-of-the-art computer vision techniques from academic papers and translated them into production-ready solutions.
Ensured software reliability and robustness through rigorous unit testing, model validation, and cross-framework benchmarking.

Web Developer Intern

April 2023– May 2023

Techcellent Solutions, Puducherry, India

Developed and deployed a dynamic website for a gaming center, integrating user registration and database retrieval features.
Improved customer engagement by 25% through intuitive UI/UX and real-time interactions.
Built backend services using PHP and MySQL; implemented frontend interactivity with JavaScript and AJAX.
Collaborated with a team of 3 to ensure cross-browser compatibility and responsive design.

Web Developer Intern

Dec 2022– January 2023

Cloudlogic Technologies, Puducherry, India

Strengthened online banking security by 12% by integrating the HmacSHA-512 encryption algorithm for secure transactions.
Developed responsive web features using modern frameworks, improving load times and usability.
Collaborated with the backend team to optimize API integrations, reducing client-server latency by 18%.