Varun Shukla

Product Engineer

Raipur, Chhattisgarh, India1 yr 9 mos experience

Most Likely To Switch

Key Highlights

Strong foundation in Machine Learning and AI integration.
Proven track record in building scalable digital products.
Hands-on experience in both frontend and backend development.

Stackforce AI infers this person is a Full-Stack Developer with a strong focus on AI and E-commerce solutions.

Contact

Skills

Core Skills

Full-stack DevelopmentFrontend DevelopmentMachine Learning

Other Skills

Next.jsMobile Application DevelopmentUI/UX DesignPayment IntegrationCloudinaryUI DesignResponsive DesignCanny edge detectionDenseNet-110StreamlitCypressMongoDBPrisma ORMProject ManagementWeb Engineering

About

👋 Hi there! I’m a Frontend developer who can work backend,if needed, with a strong foundation in Machine Learning, passionate about building intelligent, scalable, and visually engaging applications. What I bring: 🎨 Frontend Expertise: Strong command over JavaScript, React,threeJS,GSAP,motion, Tailwind CSS, Pure CSS, and UI best practices — creating clean, modern, and responsive designs that feel great to use. 💻 Full Stack Development: Experienced with React, Next.js, Node.js, Express, and Python — building everything from responsive UIs to solid backend systems. 📱 React Native: Hands-on experience creating smooth, modern, and performance-focused mobile applications. 🤖 Machine Learning: Skilled in building end-to-end ML workflows using TensorFlow and PyTorch, and integrating intelligent models into real-world apps. 🚀 I love blending AI and full-stack development to craft meaningful products, intuitive user experiences, and solutions that genuinely solve problems. Let’s connect and build something exciting together!

Experience

1 yr 9 mos

Total Experience

9 mos

Average Tenure

1 yr 9 mos

Current Experience

Chainframe

SDE intern - Applied AI

Jan 2026 – Present · 3 mos · Remote

Next.jsMobile Application DevelopmentFull-Stack Development

Tedxbitd

Tech Lead

May 2025 – Oct 2025 · 5 mos · Durg, Chhattisgarh, India · Hybrid

Responsible for maintaining the official TEDxBITD website, ensuring smooth performance, timely updates, and a seamless user experience.
Handled various technical aspects including content updates, bug fixes, UI improvements, and optimizing the site for event announcements and registrations.
Collaborated closely with the organizing team to keep the platform reliable and event-ready, contributing to the overall success of TEDxBITD.

Grainkart private limited

SDE

May 2025 – Aug 2025 · 3 mos · Raipur, Chhattisgarh, India · On-site

Worked on GrainScope, an AI-powered grain analysis platform, contributing to both frontend and backend development to enhance accuracy, usability, and performance.
Built and improved key features including image processing workflows, data visualization components, report generation, and UI enhancements for a smooth user experience.
Collaborated with the team to optimize the product’s architecture, fix bugs, and ensure stable deployments.
Represented GrainScope at Rajat Mahotsav, Naya Raipur, showcasing the product’s capabilities and engaging with visitors — a moment that strengthened my confidence and connection with the project.

Self-employed

Freelance Web Developer

Jul 2024 – Present · 1 yr 9 mos · Hybrid

🔹 E-Commerce Website for a Clothing Brand
Developed a full-featured eCommerce platform with optimized UI/UX, secure payment integration, product management, and responsive design.
Implemented Cloudinary for efficient media handling and built an intuitive admin panel for smooth store operations.
Resulted in a 60% increase in customer interaction, higher engagement, and improved shopping experience for users.
🔹 Portfolio Website for an Interior Designer
Designed and built a modern, visually appealing personal portfolio to showcase the client’s design work and services.
Focused on clean aesthetics, smooth navigation, and mobile responsiveness to enhance the client’s professional identity.
Helped the client strengthen their online presence and attract new project opportunities.

Next.jsFrontend Development

Iit bhilai - online programs

ML intern

Apr 2024 – Aug 2025 · 1 yr 4 mos · Bhilai · Hybrid

Developed and deployed an end-to-end brain tumor detection system using a hybrid approach of Canny edge detection for image preprocessing and DenseNet-110 for deep learning–based classification.
Built an interactive Streamlit application to allow users to upload MRI scans and receive real-time predictions with a clean, intuitive UI.
Implemented optimized image processing pipelines, model evaluation, and deployment workflows to ensure accuracy, reliability, and fast inference.
The project demonstrated the effective combination of classical image processing and modern deep learning techniques for medical imaging tasks.