Hello, world. I'm

Thanemul Islam

Full Stack Developer

I build secure, data-driven products, from HIPAA-compliant pharmacy systems on AWS to AI-powered marketplaces and geofenced mobile apps. Currently pursuing an MS in Computer Science (AI) at Georgia Tech.

Thanemul Islam smiling in a navy blazer with a lit bridge behind him
Pharmacy Systems AWS AI / ML

Who I am

About

0faster medication retrieval
0scalability boost on queue APIs
0less system downtime
0records classified by IDS model

Education

Georgia Tech, School of Computing

MS Computer Science, Specialization in Artificial Intelligence

Expected 2028

CUNY Hunter College

BA Computer Science

Graduated 2025

Languages

What I reach for most often:

  • Python
  • JavaScript
  • TypeScript
  • Java
  • C++
  • C
  • Swift
  • Kotlin
  • SQL
  • HTML/CSS

Where I've worked

Experience

July 2021 – Present

Pharmacy Systems Developer

As-Salam Pharmacy and Partners · New York, NY

  • AWS Lambda
  • DynamoDB
  • Cognito
  • React
  • Python
  • Twilio
  • PostgreSQL
  • Designed and deployed a HIPAA-compliant bin tracking system on AWS DynamoDB, Lambda, and Cognito with a React.js front end, letting staff scan medication bags and assign bins in real time. Secure lookups by patient name or date of birth cut retrieval time by 40% and improved handoff accuracy by 30%.
  • Engineered an automated prescription pickup tracker using PrimeRx data, Python, and Twilio SMS alerts. Reduced shelf waste by 25% and improved inventory turnover accuracy by 18%.
  • Built a medication synchronization tool with Node.js, PostgreSQL, and PrimeRx exports to align refill schedules for chronic patients, reducing fragmented pickups by 50% and lifting refill adherence by 22%.

Sept 2023 – Sept 2024

Full Stack Developer

Art of Wings · New York, NY

  • Docker
  • Amazon ECR
  • CodePipeline
  • RDS
  • CloudWatch
  • QuickSight
  • React
  • Directed architecture of customer queue APIs, Dockerized legacy systems, and enabled deployment to Amazon ECR via AWS CodePipeline and Lambda, with Amazon RDS for PostgreSQL, for a 90% scalability boost.
  • Implemented centralized logging and monitoring with CloudWatch, SNS, and custom Lambda alerts, improving incident response and reducing downtime by 60%.
  • Built an analytics dashboard with React.js, AWS Lambda, and QuickSight so owners could visualize queue trends and peak traffic, driving a 40% improvement in operational planning.

Feb 2022 – June 2022

Machine Learning Fellowship

Hunter College · New York, NY

  • Python
  • NLTK
  • TextBlob
  • PyText
  • Plotly
  • Matplotlib
  • Created a Twitter sentiment analysis tool with NLTK, TextBlob, and PyText, using a cron-based polling system to inform investment decisions on Dogecoin.
  • Applied linear algebra techniques such as matrix factorization for feature representation, producing a 30% precision boost over traditional bag-of-words approaches.
  • Visualized sentiment trends and model results with Matplotlib and Plotly, aiding a 20% improvement in decision-making accuracy.

What I've built

Projects

What I work with

Skills

Frontend & AI Tooling

  • React.js
  • React Native
  • Tailwind
  • Node.js
  • PyText
  • NLTK
  • TextBlob
  • Plotly
  • Matplotlib

Backend & Database

  • PostgreSQL
  • MongoDB
  • DynamoDB
  • PrimeRx
  • Lambda
  • Cognito
  • CodePipeline
  • CloudWatch
  • SNS
  • QuickSight
  • Amazon ECR
  • Docker
  • REST APIs

Programming Languages

  • Python
  • C++
  • Java
  • JavaScript
  • TypeScript
  • C
  • Swift
  • Kotlin
  • SQL
  • NoSQL
  • HTML/CSS

Testing & Tools

  • Jest
  • Mocha
  • Git
  • GitHub
  • REST APIs
  • JSON

The short version

Resume

Thanemul Islam

Full Stack Developer · 2026

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