Software Engineer Machine Learning

Muhammad Hamza

Software Engineer

+1-516-***-**** ********.*********@*****.*** Rahway, NJ GitHub LinkedIn TECHNICAL SKILLS

Front End: React, Next, Redux, JavaScript, Tailwind CSS, Figma. Utilities: Linux, MacOS, Git, Horizon/Jira Back End: Java, JDBC, Spring Boot, RESTful, MySQL, Node, Express. DevOps: Terraform, Jenkins, AWS, GCP, Docker Machine Learning: MLFlow, Databricks, Airflow, Python, Sagemaker, Dataiku, PyTorch, NLP, Pandas, Tensorflow, NumPy PROFESSIONAL EXPERIENCE

Merck Sharp & Dohme Rahway, NJ

Software Engineer – Infrastructure & ML Platform July 2024 – Present

Architected and automated scalable infrastructure pipelines for over 80 machine learning models and infrastructure applications using Terraform, GitHub Actions, Airflow, Databricks, and MLFlow.

Led the migration of ML workflows to GitHub Actions, integrating Databricks Workflows and MLflow for experiment tracking, model registry, and reproducible deployments.

Automated end-to-end model lifecycle management using MLflow and Databricks Jobs, streamlining model training, evaluation, and deployment across staging and production.

Conducted code reviews in collaboration with senior leadership, ensuring high-quality, secure, and scalable ML infrastructure while aligning technical decisions with long-term business objectives. Bank of America Merrill Lynch New York City, NY

Back-End Software Engineer August 2023 – July 2024

Designed and optimized REST APIs for PME/Fusion using Java and Spring Boot, enhancing data management processes for 350+ enterprise applications in Capital Markets, Risk, and Wealth Management.

Worked within a dynamic team environment to support over 350+ applications across Capital Markets, Risk, and Wealth Management by ensuring comprehensive, timely, and accurate product reference data.

Participated in the architecture planning of the PME/Fusion platform, contributing to strategic decisions that improved system reliability, maintainability, and performance. Designed and developed multiple REST API endpoints for the PME web service, ensuring high performance, scalability, and robust security to meet the needs of various clients. TECHNICAL PROJECTS

Accounting Ledger Application Github New York City, NY Ledger: Transactions tracker

Developed a secure Fullstack Java-React application allowing users to sign up and log in to manage transactions effectively, implemented functionality for recording Deposits and Payments in a Ledger with a focus on user-friendly interface.

Integrated features enabling users to filter and sort transactions based on specific criteria for efficient record retrieval.

leveraged SpringBoot framework to create a scalable and efficient backend system, handling user authentication, data storage, and business logic, utilized React.js to build a responsive and intuitive frontend interface, allowing users to seamlessly interact with their financial data.

Whole-Lotta-Sub Github New York City, NY

CLI and GUI based JAVA/Swing restaurant management application

Developed a Java application, “Whole-Lotta-Sub”, featuring dual interfaces: a Command Line Interface (CLI) and a Graphical User Interface (GUI). Integrated a user and admin interface to allow different features for users and admins.

Implemented a user-friendly CLI allowing customers to order sandwiches, drinks, and chips from a pre-made menu, with options to customize and add items to their cart and checking out which saves their order receipt in an external folder.

Designed an intuitive GUI, enhancing the user experience by providing a visual representation of the ordering process.

Enabled users to view their cart, remove items, and seamlessly check out, displaying a detailed summary of their order and total. Medexperts.io Github Link to Project New York City, NY Question and Answer Portal for Medical Professionals

Developed a full-stack web application using React.js and Node.js for major development, and AWS for storing user and questions data, providing a comprehensive collection of questions for medical professionals to enhance their knowledge.

Led and collaborated with a team of four software engineers, two UX/UI engineers and four physicians, applying agile development practices to successfully build and deploy the application and database with Render.io.

Successfully onboarded medical students from three different US based medical schools and professionals to MedExperts.io, achieving a consistent daily usage rate and recording daily user inputs. EDUCATION

Georgia Institute of Technology Atlanta, GA

Master of Science Computer Science, Expected: March 2027 Western Governors University Millcreek, UT

Bachelor of Science Computer Science

Fullstack Academy New York City, NY

Future Code - Software Engineering Fellow

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