Hello! My name is
Shahed Ahmed
About Me
Hi, I'm Shahed Ahmed, a passionate Software Engineer specializing in Machine Learning and Full-Stack Development. Currently a senior pursuing my B.S. in Computer Science at the City College of New York, I've developed expertise in building scalable applications, implementing AI solutions, and creating impactful user experiences.
My technical journey spans from developing machine learning models that achieve 98% accuracy to architecting full-stack applications that serve thousands of users. I thrive on solving complex problems through innovative technology solutions, whether it's optimizing backend performance, implementing real-time features, or designing intuitive user interfaces.
Beyond coding, I'm deeply committed to continuous learning and staying current with emerging technologies. I enjoy contributing to open-source projects, participating in hackathons, and mentoring fellow developers. When I'm not immersed in code, you'll find me at the gym or playing strategic games like chess.
I'm always excited to collaborate on challenging projects and contribute to teams that are pushing the boundaries of what's possible with technology. Let's connect and build something amazing together!
Education
August 2022 - May 2026
Bachelor of Science in Computer Science
The City College of New York
Pursuing a B.S. in Computer Science with focus on machine learning, backend development, and software engineering. GPA: 3.74, Dean's List recipient, expected graduation in May 2026.
June 2024 - July 2024
Machine Learning Foundation Certificate
Cornell University
Completed intensive Machine Learning Foundations program with hands-on experience in ML algorithms, model evaluation, and AI ethics. Break Through Tech AI Fellow.
Experience
October 2025 - December 2025
Code2Career Fellow
BASTA
Selected as a Code2Career Fellow in a competitive program focused on career development and technical skill enhancement. Worked closely with a Google Software Engineer as my mentor, receiving personalized guidance on software engineering best practices, system design, and career advancement strategies. Participated in professional development workshops, technical training sessions, and networking opportunities with industry leaders, gaining valuable insights into emerging technologies and engineering excellence.
June 2025 - August 2025
Lead Software Engineer Intern
OpenGym
Led development of an AI-powered gym-management system across Next.js (web) and React Native (mobile), integrating GPT-4.1 Mini, Google Places API, and validated public-data ingestion, cutting facility-registration effort by 80%. Built scalable REST APIs with Zod validation and multi-source aggregation to serve real-time autofill suggestions, achieving 200ms average latency. Mentored two interns while designing modular UI components for granular AI suggestion review and tone selection, driving adoption of agentic features among new gym owners.
August 2024 - December 2024
AI Studio Intern
JP Morgan Chase & Co.
Enhanced loan fraud detection through feature engineering, anomaly detection, and dimensionality reduction, improving accuracy by 35%. Preprocessed large datasets with Pandas and NumPy to increase model stability and reduce false positives by 20%. Tuned supervised models, boosting ROC-AUC by 18% and F1 score by 22%.
May 2024 - August 2024
Software Engineer Intern
OpenGym
Developed a content-based filtering algorithm using Node.js and MongoDB, increasing user engagement by 50%. Built a Next.js frontend for personalized gym recommendations. Integrated Stripe and Cypress tests, reducing deployment errors by 40%.
January 2024 - May 2024
Software Engineer Intern
The City Tutors
Built features for tutor management including attendance tracking and clock-in/out automation, reducing manual work by 35%. Improved backend performance with Django ORM optimization and Redis caching, decreasing errors by 20% and increasing load speed by 15%.
September 2023 - April 2024
Research Assistant
City College of New York
Developed a secure encrypted email server using Python, OpenBSD, and OpenSMTPD. Improved Python filtering algorithms, cutting email processing time by 30% and enhancing message prioritization accuracy.
February 2024 - April 2024
Full Stack Web Developer
HIPE Network
Developed a secure website with Netlify Identity API, handling both frontend and backend development with Next.js, React, and Node.js for seamless user experience and efficient data management.
Technologies I Work With
React
Next.js
TypeScript
JavaScript
CSS Modules
Node.js
Python
Django
FastAPI
Flask
MongoDB
PostgreSQL
MySQL
Redis
TensorFlow
Scikit-Learn
PyTorch
OpenAI API
Pandas
NumPy
AWS
Git
Cypress
Docker
GitHub Actions
Java
C++
SQLReactNext.jsTypeScriptJavaScriptCSS ModulesNode.jsPythonDjangoFastAPIFlaskMongoDBPostgreSQLMySQLRedisTensorFlowScikit-LearnPyTorchOpenAI APIPandasNumPyAWSGitCypressDockerGitHub ActionsJavaC++SQLProjects
Maternisense
AI-powered fetal health prediction system achieving 98% accuracy with real-time sensor data processing and personalized healthcare insights.
FantasyPlaybook
Real-time sports tracking platform with AI-powered analytics for fantasy league insights, player recommendations, and live game updates.
EquiCare
Developed an inclusive AI model for skin condition classification, reducing biases and improving accuracy across diverse skin tones.
Contact
Let's Connect!
I'm always open to connecting with fellow developers, potential collaborators, or anyone interested in technology. Feel free to reach out if you have any questions or just want to say hi!