Aditya Wandakar
Full Stack Software Developer

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Full Stack EngineerSpecializing in MERN stack development, Computer Vision, and Machine Learning. I build scalable, secure, and AI-powered applications designed for real-world impact.

Resume

ENGINE

TECHNICAL
STACK

Languages

The foundation of logic and scripting.

JavaScript (ES6+)Python

Web & Backend

Modern full-stack architecture.

React.jsNext.jsNode.jsExpress.jsFastAPISocket.IORESTful APITailwind

AI & Vision

Neural networks & computer vision.

TensorFlowOpenCVYOLOv8MediaPipescikit-learnNumPyPandas

Infrastructure

Deployment, Cloud & CI/CD.

MongoDBGitGitHubDockerPostmanVercelNPMRender

ABOUT &
EXPERIENCE

Innovative Computer Science Engineer specialized in MERN Stack development and Generative AI integration. Proven ability to translate industrial requirements into secure, high-performance software with a focus on System Performance and user-centric design.

Professional Experience

Computer Vision Intern

DocketRun Tech Pvt. Ltd., Hubli

Jan 26 - May 26
  • ▹ Developing real-time AI solutions using YOLO & OpenCV for industrial object detection and tracking.
  • ▹ Implementing model optimization techniques to improve inference speed for large-scale industrial use cases.

MERN Stack Developer Intern

Genesis Academy, Bangalore (Remote)

Jan 26 - May 26
  • ▹ Building full-stack applications using MongoDB, Express, React, and Node.js with secure REST API architectures.
  • ▹ Developing responsive UIs and implementing robust authentication protocols for enterprise-grade software.

Education

Bachelor of Engineering in Computer Science and Engineering

KLS VDIT, Haliyal

CGPA: 9.01 / 10.02022 – 2026

Pre-University Course (PCMS)

Smt. Vidya P Hanchinmani College, Dharwad

Score: 93%2020 – 2022

Secondary School Leaving Certificate (SSLC)

St. Mary's School, Kalaghatgi

Score: 90%2020

Certifications

Free TensorFlow Bootcamp (OpenCV University)
IBM SkillBuild: Full Stack Development (MERN Specialization)
Green Skills and AI (Edunet Foundation, AICTE, and Shell India)
Infosys Springboard: Web Technology Fundamentals & JavaScript Optimization
Cisco Networking Academy: Python Programming Basics

Achievements

Patent Publication

Crowd Sense: A Real-Time System for Crowd Analytics (App No: 202641002836). Developed an efficient method using MobileNet-SSD and GenderNet for real-time demographic analysis and automated ad selection.

Problem Solving

Solved 100+ problems on LeetCode focusing on Data Structures and Algorithms (DSA).

PROJECTS
SECTION

ResQAI – Offline AI Emergency Assistant

A local-first, privacy-focused AI companion providing critical first-aid and survival instructions offline. Powered by a RAG Knowledge Base, Ollama (TinyLlama/Phi3), and FAISS vector indexing.

ReactFastAPIOllamaFAISS

AutoYOLO - Neural Intelligence Platform

A production-grade AI optimization and Dataset Intelligence platform. Replaces manual hyperparameter tuning and dataset verification with a deeply integrated Neural Workflow Agent. Features Neural Audit, Dataset Repair, Smart HPO, and Automated Code Generation for Ultralytics YOLO models.

ViteReactFastAPIGeminiVercel

REV-AI – Autonomous Code Review Agent

Engineered an event-driven automation tool using GitHub Webhooks and Google Gemini AI for real-time logic auditing. Reduced pre-production bug density by 40% by enforcing structured JSON security auditing and vulnerability detection.

MERN StackGenAIGitHub API

DigiVault – Intelligent Document Vault

Architected a secure management system featuring automated metadata extraction via Tesseract.js OCR. Implemented robust security protocols including JWT Authentication and IP-based audit logs for document tracking.

Full Stack MERNOCRJWTSecurity

Chat-AI – AI-Powered Collaborative Workspace

Built a real-time collaborative editor using Socket.IO, enabling multi-user synchronization and code suggestions.

ReactSocket.IOGemini API

SAFEGARD-AI – Industrial Safety Monitor

Built a real-time AI safety monitoring system for worker tracking and contextual PPE enforcement. Achieved 91.4% mAP on 30K+ images, integrating a violation analytics dashboard for industrial safety.

MERNFastAPIYOLOv8

CrowdSense – Real-Time Crowd Analytics

Achieved 81% detection accuracy using OpenCV for real-time human detection and demographic gender based classification and targeted Advertisements.

PythonOpenCVComputer Vision
Available For Hire

LET'S BUILD
TOGETHER

I am currently seeking opportunities as a Full Stack Engineer or AI/CV Developer. If you have a relevant role or collaboration opportunity, I would be glad to connect and discuss how I can contribute.

Say Hello

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