WEDHA PRABHA R
Full-stack developer and AI engineer building intelligent, data-driven products — from interface to inference.
A builder fluent in code, craft & data.
I'maFullStackDeveloperandAI/MLEngineerwhobuildsintelligent,data-drivenproducts.IblendAIexpertisewithend-to-enddevelopmentskillstocreatescalable,impactfulapplications.
Three crafts, one practice.
Full-Stack Developer
[ React.js · FastAPI · Python · SQL ]
Building scalable web applications, integrating RESTful APIs and crafting responsive interfaces with modern frontend and backend technologies.
AI / ML Engineer
[ GenAI · RAG · LangChain · PyTorch ]
I design, build and optimize machine-learning systems — and ship them as reliable, scalable services people can actually use.
UI / UX Designer
[ Figma · Design Systems · Prototyping ]
Designing interfaces that feel as considered as the systems behind them — clear hierarchy, intentional motion, real conversion.
Where I've practiced the craft.
Software Developer Intern | React.js · Python · GenAI |
Developed full-stack web applications using React.js and backend technologies, integrating RESTful APIs and database systems while participating in testing, debugging, and deployment activities. Collaborated in Agile teams to build scalable software solutions, leveraging Python, Machine Learning, and Generative AI technologies to automate processes and enhance application performance.
B.E Computer Science and Engineering | CGPA: 8.00/10.00 |
Specializing in Internet of Things & Cyber Security including Blockchain Technology. Active learning and application of computational principles.
GKD Matriculation Higher Secondary School | HSC: 75% |
Higher Secondary Education.
Google Cloud Skills Boost | Cloud, Data & Generative AI Labs |
Hands-on labs and training covering Cloud Engineering, Data Analytics, and Generative AI services.
Microsoft Azure Data Fundamentals | AZ-900 |
Foundational knowledge of core data concepts and cloud data services on Microsoft Azure.
AI/ML Fundamentals | Core AI & Predictive Models |
Core concepts of Artificial Intelligence, Machine Learning, and predictive modeling.
Microsoft Azure AI Fundamentals | AI-900 |
Foundational concepts of Artificial Intelligence and Machine Learning workloads on Azure.
Machine Learning Fundamentals | Rinex |
Practical application of machine learning algorithms, model training, and evaluation.
Things I've shipped & built.
Tutor Draw
AI-Powered Educational Visualization Platform
Sahayaa
AI-Enabled Rescue Drone
AstraMorph
AI-Driven Domain Analytics Platform