Initializing Experience
Computer Science Engineering student at Chandigarh University building intelligent digital products, advanced full-stack solutions, and high-fidelity web experiences. Proven history in AI research, medical tech portals, and systems automation.
I am Raj Shekhar Yadav, a CS Engineering student at Chandigarh University. Combining an engineering mindset with a designer's eye, I specialize in shipping software that bridges the gap between machine intelligence and fluid user interfaces.
My expertise spans modern frontend frameworks, scalable backend servers, artificial intelligence architectures, machine learning models, and high-end UI/UX animations.
Ensuring visual excellence and human-centered ergonomics.
Deploying computer vision and text models directly to production.
Micro-animations, page transitions, and smooth scroll behaviors.
Popular
Sleek client interfaces paired with robust backend servers, standard security, and performant REST APIs.
Trending
Intelligent neural nets, text-parsing NLP bots, and smart classification models deployed to local or cloud hardware.
High Value
Converting architectural concepts into scalable software platforms featuring membership billing and clean database syncs.
New Release
Advanced patient tracking hubs, diagnostic portals, automated report parsers, and scheduling tools built for medical systems.
Responsive
Sleek, fluid cross-platform native iOS & Android applications built with optimized responsive UX architectures.
Tailored
Specialized enterprise utilities, algorithm optimizations, automation pipelines, and management software.
High Value
Configuring automated build pipelines, hosting container grids, setting up load balancing, and optimizing database clusters.
Standard
Translating vast SQL datasets into clean interactive dashboards, metrics reports, and predictive pipelines.
Artistic
Structuring modern user flows, styling premium dark mode layouts in Figma, and implementing fluid CSS animations.
New Release
AI-powered healthcare platform combining diagnostic checkers, computer-vision skin disease mapping, and automated PDF blood report parsers.
Trending
Official healthcare consulting portal for appointments, digital profile listings, medical advice archives, and SEO-optimized pages.
Highly Rated
A deep-learning document parser that analyzes uploaded PDF lab reports, flags abnormal values, and explains metrics simply.
High Value
Intelligent campus search assistant leveraging vector indexes to answer student admission questions, fee structures, and campus routes.
Research
Automated volume detection engine using VGG16 image preprocessing pipelines and least squares math to estimate coal volume in haul trucks.
Static Site
A premium responsive portal built for yoga classes, custom diet memberships, scheduling, and fluid visual transitions.
HTML5, CSS3, JavaScript, TypeScript, React.js, Next.js, Tailwind CSS
Node.js, Express.js, REST APIs, Session & Token Authentication Systems
C++, Python, JavaScript, Java
MongoDB (NoSQL), MySQL (Relational SQL)
TensorFlow, OpenCV, NLP, LangChain, Deep Learning models, Computer Vision
Git, GitHub, VS Code, Figma, WordPress, Arduino boards
Mining Truck Volume Detection Using VGG16 and Least Squares Algorithm. Researched, built, and validated real-time volume detection tools using camera feeds, VGG16 neural feature pipelines, and least-squares mathematical modeling.
Theoretical and practical CS studies: Data Structures & Algorithms, Artificial Intelligence, Database Systems, Computer Networks, and Operating Systems.
Comprehensive developer program detailing design patterns, full stack server engines, and deployment configurations.
Advanced Figma workflow detailing micro-animations, user prototypes, and high-fidelity motion graphics.
Zero to Mastery developer syllabus mapping DOM architecture, React.js UI, database connections, and hosting.
Administered cybersecurity briefings, organized technical workshops, and coordinated academic coding groups.
Built medical report PDF parser algorithms using document extraction, LLM APIs, and patient scheduler portals.
Demonstrated strong engineering logic, algorithm optimization, and complex data structure implementation.
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