Tawsif Kamal

CS @ Georgia Tech | IoT Intern @ IBM

Fullstack developer interested in Reinforcement Learning

Hey! I'm a 3rd year Computer Science student at Georgia Tech with a concentration in AI and Networking. I'm currently interning as an IoT Developer @ IBM and have previously worked at NCR and LogicomUSA. I also help make apps for non-profits at my school club Bits of Good.

My journey involves learning and exploring the fundamentals behind Reinforcement Learning + Robotics. I'm equally fascinated by the nuances of full-stack development, continually exploring Angular, Vue, React and the intricate differences between frontend/backend frameworks.

When I'm not at the computer, you can find me experimenting with my camera, hitting the gym, or eating out!

Jan 2024 - Apr 2024

IBM Consulting

IoT Developer Intern

Helping maintain a robotic project of a Jetson Nano that moves around and detects hazardous materials in a room using computer vision. Another future project consists of building a GenAI chatbot through Google Vertex AI and Dialogflow.

Python
ROS2
Pytorch
Machine Learning
Docker
IBM Cloud
Google Vertex AI

May 2023 - Aug 2023

LogicomUSA

Frontend Developer

Built several frontend pages of LogicomUSA's call management software with Vue.js and AWS. The app is being currently used by Logicom's internal and external clients.

Vue.js
Node.js
CSS
AWS Cloud

Jan 2023 - May 2023

Bits of Good @ Georgia Tech

Software Developer

Led a team of 4 developers, 2 designers alongside a product manager to create an app for the non-profit Southface making it easy to search, filter and compile sustainable building standards.

Next.js
ChakraUI
MongoDB
Azure Blob Storage
Javascript

May 2022 - Aug 2022

NCR Corporation

Software Engineering Intern

Developed a frontend settings page for NCR's new Point-of-Sale software for restaurants through React.js. Also implemented Apple Pay, Google Pay and PayPal in the backend of the software using Nest.js and FreedomPay APIs.

React.js
Node.js
Nest.js
RestAPIs
GraphQL
Redux
Typescript

Articles

An Intuitive Approach To Linear Regression
A Brief Introduction To Classification
An Intuitive Approach To Q-Learning
Hands On Approach To Monte-Carlo Learning