Hi, I'm William 👋

Follow My Journey in Tech!

Computer Engineer - Grove School of Engineering @ The City College of New York - CUNY

About Me

Welcome to my portfolio website! My name is William, and I am a highly motivated and passionate Computer engineer with a solid foundation in computer science and engineering. Known for my adaptive learning and cross-functional collaboration, I am always eager to explore new technologies and tackle challenging projects. My strengths in staying-curious and critical thinking have significantly contributed to my success in both academic and professional settings.

Throughout my academic journey, I have gained hands-on experience in various programming languages, frameworks, and tools. I have worked on diverse projects, ranging from machine learning, full-stack development, and embedded systems, which have honed my problem-solving skills and ability to work effectively in teams. My experiences have also taught me the importance of clear communication and collaboration in achieving project goals.

I am excited to continue my growth as a computer engineer and contribute to innovative projects that make a positive impact. Thank you for visiting my portfolio, and I look forward to connecting with you!

Projects

Here are some of the projects I have worked on

Medshare

An AI-powered pharmacy analytics that transforms spreadsheets into actionable intelligence — helping hospitals save thousands monthly on expired medications.

Flowmind

A therapeutic planning companion that uses AI-driven conversation and schedule intelligence to help neurodivergent users manage their day with less stress. Powered by IBM NeuralSeek's mAIstro for sentiment analysis and OpenAI Whisper for voice transcription. Solo developer due to no show.

Smart Wallet

SmartWallet is a unified personal finance management application designed to give users a consolidated view of all their financial accounts. It simplifies expense tracking and budgeting and provides actionable insights to help users make smarter spending decisions.

EcoFiDash

A web application with an AI-powered dashboard providing personalized insights and sustainable spending recommendations. EcoFiDash was developed focused on leveraging data to drive sustainable spending habits. This addresses the critical issue by offering a comprehensive solution for tracking and optimizing sustainable transactions.

Schedule Snake

A robust web application for scheduling system, built to ensure a smooth enrollment process for university courses. Users assigned with limited access to specified roles (Professor or Student) to perform role-based tasks of registrations, enrollments, add/remove, update, and view courses on a dynamic multi-tab dashboard.

Flushing Tech Website

A clean website built for a community where individuals from different path of life learn and explore the tech industry through weekly mini hackthon.

PantryTrack AI

An AI-powered Pantry Management System for food items, developed to further enhance my understanding of machine learning Material UI, and OpenAI API. It features real-time pantry tracking, AI-powered image processing capabilities for adding items, and an AI recipe generator based on available ingredients.

Cancer Classification Analysis

An in-depth Python-based breast cancer early-detection analysis through supervised learning utilizing 6 machine learning classification models. Utilizing several Python libraries, Pandas, Numpy, Scikit-learn, Tensorflow, and Matplotlib. The study and computation were completed through Jupyter Notebook.

Experiences

Incoming Engineer...

To be announced

USA

July 2026

To be updated.

Incoming Engineer...

Remote, USA

May 2026 – Present

To be updated.

AI Engineer

Stealth Startup

Remote, USA

November 2025 – Present

Implemented a robust system design for Agentic AI Infrastructure.
Deployed ETL/ELT pipeline for Financial Data ERPs enabling Machine Learning models achieving 86% accuracy.
Designed and Implemented Machine Learning pipeline for predictive analysis (Regression, Neural Networks, & K-means)

Specialist

Apple

New York City, NY

October 2023 – January 2026

Provided technical consultations and personalized onboarding to improve user engagement and retention.
Diagnose and resolve iOS/macOS hardware & software issues.
Guide customers on secure backup, setup, and accessibility.
Partner with Geniuses/Ops to manage queues and expectations.

Software Engineering Apprentice

Google-SWEP × Basta

Remote, USA

October 2024 – December 2024

Part of a competitive, 10+ weeks apprenticeship for aspiring software engineers.
Mentored by senior engineers at Google, Best software practices, and career development.
Trained in fundamental CS concepts, system design, and full-stack web development.
Practiced pair programming, code reviews, and learning sprints through 100+ LeetCodes.

Software Engineer Fellow

Headstarter AI

New York City, NY

July 2024 – September 2024

Built and shipped multiple AI apps under tight weekly deadlines.
Integrated agentic workflows (LangChain + microservices) and set up CI/CD.
Collaborated through code reviews and sprint rituals to iterate quickly.

Technical Interview Mentee

CodePath

Remote, USA

May 2024 – December 2024

Participated in mock technical interviews with peers.
Practiced core DSA patterns with time/space analysis for both intermediate and advanced levels.
Completed mock interviews and problem-solving drills weekly.
Authored clean, tested solutions in Python/JS.

Multi Unit General Manager

City Roots Hospitality

New York City, NY

December 2021 – January 2023

Led day-to-day operations across multiple locations (staffing, inventory, scheduling, vendors).
Improved KPIs (labor %, COGS, NPS) with data-driven SOPs and Operational Excellence.
Executed business strategies and cross-functional launches; trained 40+ staff on hospitality, services & safety.