Abhishek Yadav

FullStack Developer & Software Engineer

I'm Abhishek Yadav, a Computer Science student at UPES and a FullStack Developer based in India.
I have experience building responsive UIs with Flutter and React, and I'm passionate about creating seamless financial dashboards and workflows.
I've also worked as a Freelance Web Developer, delivering modular frontend components and automating workflows for SMEs.

Skills

React

Flutter

JavaScript

TypeScript

HTML/CSS

Bootstrap

PostgreSQL

MySQL

MongoDB

Python

Flask

Git

Docker

Experience

FullStack Intern — Naiyo24

June – Sept 2025

Frontend Engineering & Accounting API Integrations (Flutter, React, PostgreSQL)

Developed responsive Flutter and React UIs for financial dashboards and workflows.
Implemented integration tests and contributed to unit testing for API reliability.
Optimized frontend performance and implemented secure session handling for accounting transactions.

Freelance Web Developer

2023 – Present

Modular Frontend & Workflow Automation

Delivered responsive web apps for SMEs, improving workflow automation and engagement.
Built modular frontend components with JavaScript (ES6+) and TypeScript.

Projects

2024

CPU Compiler

Link: https://github.com/Abhii-04/Custom-CPU
Developed a compiler that translates high-level language into custom CPU bytecode.
Implemented lexical analysis and parsing using recursive descent parsing.
Optimized code with constant folding and register allocation.
Applied backend concepts and data structures to improve execution efficiency.

C++, LLVM

Source Code

2024

Forencify— Data Integration Dashboard

Link: https://github.com/Abhii-04/Forensify
Built a unified dashboard to integrate fragmented data across Instagram, WhatsApp, and Reddit. Automated metadata extraction & mapping, reducing manual reconciliation effort. Designed a scalable architecture for handling large volumes of integration data efficiently.

Flask, praw, Tweepy, Python

Source Code

2025

UAV Based Real-Time Crowd Detection System

Deployed a FastAPI backend using Uvicorn (ASGI)
Optimized YOLO-based ONNX models for parallel inference
Implemented MJPEG live video streaming
Configured environment-driven deployment

FastAPI, Uvicorn, ONNX, OpenCV, Python

Education

B.Tech in Computer Science and Engineering (Fullstack AI)

2022 – 2026

University of Petroleum and Energy Studies (UPES), Dehradun

Achievements

Open Source Contributor — Actively contributed to GitHub repositories under open collaboration initiatives, focusing on frontend and backend issue resolutions.
Core Committee Member — CSI (2023): Organized a college-level hackathon and contributed to the technical team, including development of the hackathon website frontend.

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