Full Stack Developer

Full Stack Blockchain Engineer

I am a Software Engineer, specialising in Full Stack Development. Fluent in Typescript (React, Nextjs, Nestjs) and SQL for building Web Applications. At Add3 I've helped my team develop and launch our flagship token management product and a Decentralized Application (dApp) that we built using ethers.js, uniswap v2, etc. It's now being used by big companies around the world to launch their Token products.

I am a Full-Stack Engineer, specialising in Frontend Development with over 3 years of experience. Fluent in Typescript (React, Nextjs, Nestjs, Expressjs, Web3js, ethersjs), Python (Django) and SQL (PostgreSQL) for building Web Applications. For the past 2 years at Add3 I've helped my team develop and launch our flagship No-code, B2B DeFI token management product and a Decentralized Application (dApp) that uses Reactjs, ChakraUI, Nestjs, PostgreSQL, ethers.js, uniswap v2, etc to allow users to claim/stake/withdraw/buy/sell their tokens. It's now being used by big companies like BitToro, Pre-Search to launch, manage and distribute their own EVM based Token products. These companies have used the app and currently hold a combined TVL (Total asset Value Locked) of 65 Million.

I also consistently contribute to open-source repositories which include Web3 SDKs like Thirdweb, AI SDKs like CopilotKit AI, as well as Decentralised protocols like DYAD.

My GitHub profile: https://github.com/codingfarhan.


Apart from web development, I also take a keen interest in machine learning. Occasionally, I like training my own ML models using Python libraries like scikit-learn to perform predictive analysis for fun :)


Experience: 3 years

Yearly salary: $42,000

Hourly rate: $0

Nationality: 🇮🇳 India

Residency: 🇮🇳 India


Experience

Full-Stack Developer
Adcanyon
2022 - 2023
Built an internal web application to manage over 4 million rows of Amazon Ad campaign data, ensuring high performance for querying and managing vast datasets using Django, Jinja2, JavaScript, JQuery, Bootstrap5, and MySQL. Handled the entire stack, including Frontend, Backend, and Database, and deployed the app via a CI/CD pipeline on Heroku, significantly improving data accessibility and performance. Analyzed trends in client ad campaign data and reported abnormalities, contributing to business insights.
AI Software Engineer
Moodme AI
2021 - 2021
Developed Deep Learning models for facial feature detection (gender and age) using Python, Keras, and OpenCV, achieving 80% accuracy for gender detection and 60% accuracy for age detection. Trained models on a dataset of over 10,000 facial images and optimized them for production by exporting model files for deployment.
Full-Stack Developer (Co-founder)
khelnet
2019 - 2020
Built the full-stack khelnet application from scratch using Django and JavaScript, integrating real-time chat functionality using WebSockets. Led user feedback initiatives, continuously improving features and fixing bugs based on user insights.

Skills

agile
aws
blockchain
ethereum
git
javascript
nestjs
nextjs
react
tailwind
typescript
web3js
full-stack
english
hindi
urdu