frame — hero.tsx

Hi, I'm Ajasra Madhup.

CSE Student • UI/UX Designer • Full-Stack Developer • AI Builder

Designing experiences, engineering solutions, and building the future with AI.

01about

Designing experiences, engineering solutions.

I'm a Computer Science student at Bennett University with a passion for building products that combine technology, design, and human psychology. My interests span across full-stack development, UI/UX design, artificial intelligence, and system design.

I enjoy transforming ideas into intuitive digital experiences—whether it's designing clean interfaces in Figma, developing scalable web applications, or experimenting with AI-powered solutions. Beyond coding, I'm deeply curious about how people interact with technology.

Currently, I'm focused on software engineering fundamentals, exploring machine learning, and creating projects that sit at the intersection of creativity and technology. My goal is simple: to build products that are functional, meaningful, and memorable.

Bennett University

Third-year Computer Science student at Bennett University, Greater Noida, building systems alongside user experience design.

Design × Technology

Most interested in sitting at the intersection of creativity and technology, building products that are meaningful and memorable.

Toolkit Stack

Figma design system; JavaScript, TypeScript, React, Next.js, Node.js, REST APIs, MongoDB, C++, and Python for development.

Current Interests

AI & Explainable Machine Learning, Cloud & Sustainable Computing, Research Engineering, and Full-Stack System Design.

02projects

Selected work

A mix of shipped product design and applied AI — from pixel-level prototyping to production frontend code.

Coffee Cafe App
3 screens
Open Design Gallery

Coffee Cafe App

UI Design

A premium mobile ordering experience designed for specialty coffee shops. Includes interactive branch selection, drink customization (size, milk type, sweetness), and a clean, glassmorphic checkout confirmation flow.

FigmaMobile UIAuto LayoutDesign System
Why Am I Tired? UI
4 screens
Open Design Gallery

Why Am I Tired? UI

UI Design

A sleek, dark-themed mobile app concept exploring sleep hygiene and cognitive fatigue tracking. Designed with clean data visualizations and intuitive activity logs to help users identify daily tiredness factors without clutter.

FigmaUX Case StudyMobile UIData Visualization
Web App · OS Simulation

Summer OS

A gorgeous web-based operating system simulator featuring desktop icon navigation, draggable window controls, active utility systems, and a custom lock screen interface.

ReactNext.jsTailwind CSSFramer Motion
Research · Intelligent Railway

RLCIS

A research-oriented intelligent platform predicting railway level crossing closures in Muzaffarpur using RTIS GPS data. Features live route visualizations, ETA calculations, a rule-based prediction engine, and an interactive React Leaflet map dashboard.

FastAPIReact LeafletSQLitePythonPredictive Engine
Research · Sustainable Computing

GreenOps

A research-driven telemetry platform helping engineers optimize the environmental impact of cloud infrastructure. Combines telemetry with an AI explainability engine (SHAP) and gamified scorecards to drive sustainable decisions.

PythonGoogle Cloud PlatformBigQueryReactExplainable AI
03currently working

Active Research & Development

Exploring deep predictive analytics and sustainability scoring. Building production tools that sit at the intersection of creativity, research, and code.

Active Research · Intelligent Railway

RLCIS

Railway Level Crossing Intelligence System

A research-oriented intelligent railway platform focused on predicting railway level crossing closure and opening times in Muzaffarpur.

Core ConceptWhile RTIS (Real-time Train Information System) already provides GPS updates for thousands of locomotives, the missing layer is intelligent computation that converts train movement into useful crossing-level predictions.

The Problem

Commuters often wait at railway crossings without knowing: When the gate will close, how long it will remain closed, or when it will reopen. RLCIS attempts to solve this via predictive intelligence.

Technologies Used

FastAPISQLiteReactReact LeafletPython

Key Features

  • Railway crossing closure prediction
  • Live route visualization
  • Rule-based prediction engine
  • Real-time ETA calculations
  • Interactive map dashboard
  • Research paper support

Architecture Pipeline

RTIS GPS DataLocomotive telemetry streams
Prediction EngineFastAPI computations & ETAs
Database LayerSQLite storage
React DashboardInteractive map visualization
Research Output

IEEE ITSC 2026 paper outline completed

Active Research · Sustainable Computing

GreenOps

AI-Assisted Cloud Carbon Footprint Optimization

A research-driven platform that helps developers understand and optimize the environmental impact of cloud infrastructure.

Core ConceptThe platform combines cloud telemetry, AI explainability (SHAP), and behavioral psychology to help engineers make greener infrastructure decisions.

The Problem

Cloud platforms provide carbon emissions data, but developers struggle to understand: Why emissions spike, which services are responsible, and how infrastructure choices affect sustainability.

Technologies Used

PythonGoogle Cloud PlatformBigQueryReactMachine Learning

Key Features

  • Carbon-emission explanation engine
  • Green Efficiency Score (GES)
  • AI recommendations engine
  • Gamified environmental scorecards
  • Sustainable engineering analytics

Architecture Pipeline

Cloud TelemetryGCP telemetry ingestion
BigQuery StorageData warehousing & queries
Explainable AI (SHAP)Emissions explanation models
React FrontendSustainability analytics dashboard
Research Output

Focus areas: Sustainable computing, Explainable AI, cloud optimization

04skills

The layer panel

Every tool I reach for regularly, grouped like layers in a design file — design, code, and AI stacked on top of each other.

Figma
Framer Motion
Wireframing
Prototyping
Design Systems
C++
Java
Python
JavaScript
TypeScript
SQL
React
Next.js
Tailwind CSS
Node.js
Express.js
Flask
FastAPI
REST APIs
MongoDB
MySQL
SQLite
Kotlin
Android Studio
Git & GitHub
Postman
Pandas & NumPy
scikit-learn
XGBoost
SHAP (Explainable AI)
Machine Learning
Prompt Engineering
OpenAI APIs
DesignCodeAI
05testimonials

What people say

Placeholder quotes — replace with real feedback from mentors, teammates, or collaborators.

Ajasra has an exceptional eye for design and user experience. He combines creativity with technical expertise to build products that feel polished and intuitive.
R

Riya Kapoor

Product Designer at PixelLabs

Working with Ajasra on university projects was impressive. He quickly turns ideas into functional prototypes and always focuses on the user experience.
A

Arjun Mehta

Software Engineer at InnovateX

What stands out about Ajasra is his curiosity. Whether it's AI, design, or development, he's always learning and pushing projects beyond expectations.
N

Neha Sharma

UX Researcher at DesignSphere

06contact

Let's build something worth using.

Have an idea but need design direction? I craft intuitive, user-first mobile layouts and websites in Figma that don't just look stunning, but solve friction and drive conversions. Open for freelance UI/UX projects, interactive prototypes, and system design collaborations. The fastest way to start is email.