About
Engineering with enough taste to keep the interface honest.
I build full-stack web products that need both a solid technical foundation and a polished front end. My recent work spans real estate websites, animated product experiences, and BCI signal visualization.
I work across JavaScript, React, Next.js, Node.js, and data-driven systems. The common thread is practical execution: understand the problem, reduce the noise, and ship the part users can actually feel.
Alongside web development, I have worked on EEG signal classification and real-time visualization for NeuroArm, where interface clarity and model output both matter.
Product engineering
React, Next.js, Node.js, and API work with attention to maintainability.
Interface craft
Layouts, motion, and interaction details that support the job of the page.
Performance
Fast loading, accessible structure, and fewer unnecessary moving parts.
Client delivery
Clear communication from scope to deployment, especially on freelance builds.
Selected work
Projects that show the range: motion, product, systems.
A short set of shipped work, with emphasis on real interfaces and technical execution.
Stack
Tools I use when the work needs to ship.
Frontend, backend, cloud, and design tools used across recent portfolio and client work.
HTML
CSS
JavaScript
React
Next.js
Tailwind
Node.js
Express
MongoDB
Git
AWS
GCP
Figma
Vercel
WordPress
Experience
Work that connects product, backend, and research.
Recent roles and client engagements with the technical details kept visible.
Jan 12, 2026 – April 11, 2026
Full-Stack Engineering Intern
NeuraMach AI Studios
Jan 12, 2026 – April 11, 2026
Pune, India
Full-stack engineering internship focused on rebuilding backend architecture, delivering secure APIs, and improving reliability across the product stack.
Key outcomes
- Re-architected backend from AppSync to API Gateway, Lambda, DynamoDB, and SES, eliminating public data exposure and improving API security.
- Built REST endpoints and Lambda handlers in Node.js with validation and DynamoDB persistence.
- Implemented abuse-resistant submission pipeline with multi-window rate limiting (IP/email), validation, and injection protection.
- Architected secure HLS delivery using AWS S3 + CloudFront with signed cookies and role-based access control.
- Resolved 15+ cross-layer production issues across Next.js, Node.js, CI/CD, and AWS, reducing deployment failures by 40%.
Node.js
AWS API Gateway
AWS Lambda
DynamoDB
SES
S3
CloudFront
Next.js
CI/CD
November 2025
Freelance Project
Client Project
November 2025
Remote
Independently developing the complete website for a Real Estate client, a luxury residential and villas showcase platform. Responsible for designing, coding, and deploying the entire project while ensuring a balance of performance, aesthetics, and usability.
Key outcomes
- Develop responsive layouts ensuring accessibility across devices
- Implemented smooth animations and transitions to enhance user engagement
- Collaborated with client to refine design choices and content flow
React
GSAP
Tailwind CSS
JavaScript
NextJs
July 2024 - December 2024
Research Developer – BCI NeuroArm
IS360 Technologies
July 2024 - December 2024
Pune, India
Focused on building a Neuro Signal Classifier as part of the BCI NeuroArm project. Implemented an end-to-end EEG signal pipeline for acquiring, preprocessing, and classifying brain signals to identify movement intent (left vs right).
Key outcomes
- Designed and trained ML models for EEG-based movement intent classification
- Achieved high accuracy in differentiating left vs right arm movement signals
- Built real-time visualization to map classified signals into actionable outputs
Python
TensorFlow
Scikit-learn
Matplotlib
Client note
Feedback from a shipped real estate build.
One client signal from work delivered outside coursework and demos.
"The website reflects exactly what we had envisioned - a platform that communicates our brand values, showcases our flagship project, and builds trust with potential customers. His attention to detail, technical expertise, and timely delivery have truly impressed us."
Abhinandan Mountreea
Abhinandan Group
November 2025
Milestones
Recognition and research outcomes.
A few concrete markers from research, visualization, and hackathon work.
Neuro Signal Classifier for BCI NeuroArm
IS360 Technologies
July 2024 - December 2024
Developed an end-to-end EEG signal pipeline, achieving high accuracy in classifying brain signals for movement intent (left vs right arm).
Tools
Python
TensorFlow
Scikit-learn
Real-time Visualization for Brain Signals
IS360 Technologies
January 2025 - May 2025
Built a real-time visualization system to map classified EEG signals into actionable outputs, enhancing user interaction and feedback.
Tools
Python
Matplotlib
Real-time data processing
Runner Up in SHODH 1.0 Campus Hackathon
Campus Hackathon
March 2023
Successfully built a Canteen Management System for Campus Canteens, securing the runner-up position.
Tools
Next.js
Tailwind CSS
MongoDB
Node.js, PHP
Contact
Have a build that needs a careful hand?
Send the brief, context, or problem statement. I will reply with next steps and practical questions.