Ahmed Ayaz

Welcome to my Portfolio!


About Me

I am a Senior at Wentworth Institute of Technology in Boston, majoring in Computer Science with a minor in Business Analytics. My goal is to become a Software Engineer specializing in Artificial Intelligence/Machine Learning, where I can innovate by teaching systems to learn and adapt. My passion lies in transforming complex challenges into creative solutions that drive the future.

Skills:

  • Languages:
    • Java Java
    • Python Python
    • JavaScript JavaScript
    • C# C#
    • C C
    • C++ C++
    • HTML HTML
    • CSS CSS
    • SQL SQL
    • R R
    • PowerShell PowerShell
    • Gherkin Gherkin
  • Frameworks/Libraries:
    • LangChain LangChain
    • .NET .NET
    • Scikit-learn Scikit-learn
    • Pandas Pandas
    • NumPy NumPy
    • Django Django
    • Pytest Pytest
    • React.js React.js
    • next.js Next.js
    • node.js Node.js
    • three.js Three.js
  • Databases:
    • MongoDB MongoDB
    • mysql Mysql
    • Pinecone Pinecone
    • chroma Chroma
  • Software:
    • AWS Amazon Web Services
    • Azure Azure
    • Azure-DevOps Azure DevOps
    • GCP Google Cloud Platform
    • Git Git
    • Docker Docker
    • GitHub Actions Github Actions
    • SCCM SCCM
    • JAMF JAMF
  • Operating Systems:
    • Linux
    • Windows
    • macOS
  • Other:

    Problem Solving, Communication, Research, Teamwork, Analytics


Education

Expected Graduation: August 2026

Wentworth Institute of Technology

Boston, Massachusetts

Bachelor of Science in Computer Science | Minor in Business Analytics | GPA: 3.9

Relevant Coursework:

  • Data Structures
  • Algorithms
  • Deep Learning
  • Software Engineering
  • Object Oriented Programming
  • Cloud Computing
  • Databases
  • Network Programming
  • Computer Organization
  • Discrete Math
  • Probability and Statistics
  • Operating Systems
  • Parallel Computing
  • Security Principles

Experience

May 2025 - May 2026

Software Test Engineer Co-op

Philips | Cambridge, Massachusetts

  • Built a RAG AI tool with Azure services (GPT-4o, AI Search, Data Factory), Python, C#, and Docker to automate new test case generation, reducing engineers’ writing time by 70% based on a 1,000+ file knowledge base
  • Implemented 5+ custom features to the tool’s version 2 by modifying Open Web UI open-source codebase
  • Led testathons with test engineers, developers, and clinicians, identifying 25+ critical bugs and validating fixes
  • Co-op ended in December 2025. Working part-time from January 2026 - May 2026.

November 2024 - February 2025

Software Engineer (Part-Time)

Stellar Health Group | Winchester, Massachusetts

  • Created a raffle system using TypeScript, Next.js and MongoDB to digitize tickets, increasing revenue by $1,200
  • Developed a Python script to automate patient menu generation, cutting processing time from 60 to 10 minutes

April 2024 - August 2024

IT Software Engineer Co-op

Harvard University | Cambridge, Massachusetts

  • Engineered PowerShell-based imaging scripts with SCCM/JAMF for 200+ Windows and macOS device deployments, reducing manual setup time by 53% and enabling same-day provisioning for faculty transitions
  • Built a React knowledge base portal hosting 500+ technical articles to centralize IT documentation and resources
  • Developed a Python tool to efficiently assign 1000+ printers to co-ops across multiple campus zones and conducted comprehensive interface testing on Java-based printer software, finishing 2 weeks ahead of schedule

June 2023 - March 2024

Programming Coach

Code Wiz | Reading, Massachusetts

  • Led programming sessions in Java, Python, C++, Game Development, and Lua for diverse student groups
  • Enhanced students’ coding skills through hands on projects, resulting in each student completing 2 projects

Projects

DL ECG Monitoring System

A comprehensive IoT-based (ESP 32) cardiac monitoring system that captures ECG signals from patients, processes them through encrypted cloud pipelines, and provides real-time anomaly detection using deep learning to alert medical professionals of potential cardiac abnormalities.

Deep Learning, Embedded Systems, Python, IOT, Encryption, Networking, AWS

Vibration Analysis System

Built fault detection model with Random Forest and Signal Processing (SciPy), detecting failures 7 days earlier. Developed and deployed dashboard using Django, with CI/CD through GitHub Actions, pytest and AWS ECS.

Random Forest, Django, Signal Processing (SciPy), Numpy, GitHub Actions, AWS

Electricity Usage Prediction

Developed prediction model using XGBoost, log transformation and stratification, achieving 90% accuracy. Engineered data pipeline for 2M+ electricity records in Pandas to integrate temperature and population features.

XGBoost, Pandas, NumPy, Scikit-learn, Vercel

Ascend AI

Developed AI-powered Habit Tracker using TypeScript, React.js, MongoDB, currently 70+ users on waitlist. Implemented RAG to Atomic Habits using LangChain and AWS Bedrock API, generating personalized habit plans

React JS, LangChain, Pinecone, AWS, Clerk, MongoDB

Rate My Professor Assistant

Built intelligent review assistant using Web Scraping, Node.js and Pinecone DB, covering 8000+ universities. Implemented RAG pipeline using LangChain and OpenAI API for user queries, achieving 95% accuracy

Next JS, React JS, OpenAI, LangChain, Pinecone

Flashcard SaaS AI

Developed Next.js app for customized study materials using Llama 3.1 API, generating 50+ flashcards at a time. Integrated Stripe for payments and Clerk for authentication, securing 30+ user sign-ups

Next JS, React JS, Gemini, Stripe, Clerk, Firebase

Pantry Tracker AI

Built smart inventory system using Next.js and Firebase with CRUD functionality, optimizing grocery tracking. Integrated Gemini API to generate recipes from soon-to-expire ingredients, reducing food waste by 20%

Next JS, React JS, Gemini, Firebase

Customer Support AI

Worked in a team of 3 to develop an interactive customer support agent for Harvard IT Department, integrated a custom RAG pipeline using Gemini and Pinecone that responds based on knowledge base articles

Next JS, React JS, Gemini, LangChain, Pinecone, Python

Reasoning Abilities Agent

Created an intelligent agent capable of breaking down complex queries into subtasks, reasoning about how to complete each subtask, executing the necessary actions, and evaluating the results. This agent leverages OpenAI's language models to perform these cognitive functions.

Python, Prompt Engineering, OpenAI

BeeSweeper Game

Developed in JavaFX, pluck flowers using numerical clues to identify safe flowers and avoid bees by placing beehives on suspect flowers

Enhanced strategic thinking and problem solving skills

Java, JavaFX

Store Checkout Simulator

Developed a Java program which optimized customer service time by simulating the checkout process.

Monitored customer arrival times and assigned them to the shortest line, aimed at reducing average wait times

Java


Certifications

March 2025

AWS Certified Cloud Practitioner

Amazon Web Services

  • Proficient in AWS services, Cloud Concepts, and Architectural Principles

March 2024

Intensive Cloud Computing Hands-on Training

The Cloud Bootcamp

  • Implemented hands-on project by migrating a Hotel’s COVID-19 app on GCP and AWS

August 2024

CodePath certificate in Technical Interview Preparation

CodePath

  • Collaborated with fellow students to solve technical interview problems, refined problem solving skills and teamwork abilities

July 2024

Deep Learning Specialization

DeepLearning.AI

  • Completed coursework in Supervised, Unsupervised Learning and Neural Networks
  • Solved weekly labs using Scikit-learn, TensorFlow, Matplotlib, Pandas, and NumPy

Contact Me