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aaryanm1208-ship-it/README.md

AARYAN ANAND MUDVIKAR

Software Engineer · Full-Stack Developer · AI/ML · Data Science

⚡ ENGINEERING PROFILE

Third-year B.Tech Computer Science Engineering student at MIT Art, Design & Technology University, Pune, focused on building practical software systems across full-stack development, AI/ML, data science, algorithms and IoT.

  • 🎓 B.Tech CSE — MIT-ADT University, Pune · 2024–2028
  • 📈 CGPA: 9.00
  • 📊 Latest SGPA: 9.52
  • 🧠 Core: DSA · OOP · DBMS · OS · Machine Learning · Computer Networks
  • 🚀 Founder: JobSaathi
  • 🔬 Research: 2 IEEE conference papers
  • 💻 Projects: 25+
  • 🏢 Internships: 6+
  • 🏅 Certifications: 20+
  • 🌐 Deployment: Netlify · Vercel
  • 🛠️ Engineering: Full-Stack · AI/ML · Data Analytics · IoT

I build systems that connect software engineering, data and intelligent computation to real-world problems.

🧭 WHAT I BUILD

┌─────────────────────────────────────────────────────────────┐
│                      AARYAN'S STACK                         │
├─────────────────────────────────────────────────────────────┤
│                                                             │
│  PRODUCT IDEAS                                             │
│       │                                                     │
│       ▼                                                     │
│  ┌──────────────┐                                          │
│  │ Architecture │                                          │
│  └──────┬───────┘                                          │
│         │                                                   │
│    ┌────┼───────────────┐                                   │
│    ▼    ▼               ▼                                   │
│  FULL  DATA            AI/ML                                │
│  STACK  SYSTEMS        SYSTEMS                              │
│    │    │               │                                   │
│    └────┼───────────────┘                                   │
│         ▼                                                   │
│  APIs · Databases · Models · Algorithms · Analytics        │
│         │                                                   │
│         ▼                                                   │
│  Deployment · Testing · Iteration                           │
│                                                             │
└─────────────────────────────────────────────────────────────┘

🧰 TECHNOLOGY

Languages

Full-Stack Engineering

AI / ML / Data

Systems / IoT / Tools

🚀 FEATURED SYSTEMS

🧠 AgroShield AI v2

Parallel ConvNeXt–Swin Transformer fusion system for crop disease classification.

Research

  • 38 crop disease classes
  • 98.64% validation accuracy
  • IEEE TechForGood 2026
  • Research internship project

⚛️ QuantumQuest

Interactive quantum-computing learning platform.

Focus

  • Qubits
  • Superposition
  • Entanglement
  • Quantum gates
  • Interactive simulations

🏙️ AlgoCity

Algorithm-driven smart-city simulation platform.

Focus

  • Graph algorithms
  • Greedy algorithms
  • Traffic routing
  • Resource allocation
  • Algorithm visualization

🎯 SkillAce AI

AI-powered mock interview platform.

Features

  • Technical + HR interviews
  • Difficulty levels
  • Timed responses
  • AI feedback
  • Performance analytics
  • Resume-based question generation

🎵 SpinDeck

Browser-based music mixing and playlist platform.

Focus

  • Custom audio controls
  • Playlist management
  • Real-time playback
  • Interaction-focused UI

🏢 Academic Access Portal

Multi-role academic platform.

Architecture

  • Student / Teacher / Admin roles
  • Role-specific dashboards
  • Routing
  • Authentication
  • OOD principles

🔬 RESEARCH

IEEE INSECT 2026

AI-Based Early Detection of Neurological Disorders Through Retinal Microvascular Pattern Analysis

Presented at the IEEE International Conference on Intelligent and Sustainable Electronics & Computing Technologies, 2026.

IEEE TechForGood 2026

AgroShield AI v2: Parallel ConvNeXt–Swin Transformer Fusion for Crop Disease Detection

Co-authored research work focused on crop disease classification using a parallel ConvNeXt–Swin Transformer architecture.

Reported validation accuracy: 98.64% across 38 crop disease classes.

💼 EXPERIENCE

Role Organization Period
Founder JobSaathi 2025 – Present
AI & Machine Learning Intern IICT Jun 2026 – Jul 2026
IEEE TechForGood Research Intern IEEE Student Branch, MIT-ADT Jun 2026
Technical Team Member — Founding Prenuers Startup, BITS Pilani Apr 2026 – Present
Data Science & Analytics Intern Amdox Technologies Jan 2026 – Feb 2026
Java Development Intern Cognifyz Technologies & SaiKet Systems Dec 2025
Business Development Executive Intern SND Technology Jan 2026

📊 GITHUB ANALYTICS

🏆 ACHIEVEMENTS

  • IEEE INSECT 2026 — Published and presented research
  • IEEE TechForGood 2026 — Co-authored research paper
  • AgroShield AI v2 — 98.64% validation accuracy across 38 classes
  • ICAT — All India Rank #3072, Score 45/60
  • Internal Smart India Hackathon 2025 — Team CodeVerse
  • Tata Crucible Campus Quiz 2025 — Prelims Level 1
  • LCAT — Language & Communication Aptitude Test

📚 CERTIFICATIONS

20+ certifications across:

AWS · IBM · Google · Google Cloud · freeCodeCamp · HP LIFE · Coursera · IIT Bombay · Semrush · SkillEcted · Animaker

Selected certifications include:

  • Data Analysis with Python — freeCodeCamp
  • Object Oriented Programming in Java — IBM / Coursera
  • Data Science & Analytics — HP LIFE
  • Fundamentals of ML & AI — AWS
  • Responsible AI Practices — AWS
  • Essentials of Prompt Engineering — AWS
  • Introduction to Large Language Models — Google Cloud
  • Foundations: Data, Data, Everywhere — Google / Coursera
  • Bits & Bytes of Computer Networking — Google / Coursera
  • Introduction to Web Development — UC Davis / Coursera
  • C Training — IIT Bombay Spoken Tutorial

🌐 LIVE PROJECTS

Project Platform
SkillAce AI Netlify
Academic Access Portal Lovable
OS Learning Website Vercel

📈 CURRENT FOCUS

DSA
 │
 ├── Problem Solving
 ├── Algorithms
 └── Java

FULL-STACK
 │
 ├── React
 ├── MERN
 ├── REST APIs
 └── Database Systems

AI / ML
 │
 ├── Deep Learning
 ├── Computer Vision
 ├── PyTorch
 └── Data Science

SYSTEMS
 │
 ├── Linux
 ├── IoT
 ├── Embedded Systems
 └── Cloud

RESEARCH
 │
 ├── AI/ML
 ├── Computer Vision
 └── Applied Computing

🐍 CONTRIBUTION FLOW

GitHub contribution snake animation

🤝 LET'S CONNECT

BUILD → LEARN → RESEARCH → SHIP

Aaryan Anand Mudvikar

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