Software Engineer Machine Learning

MICHAEL MILLS

+1-207-***-**** **********@*****.*** New York, New York linkedin.com/in/michael-a-mills/ github.com/mmills6060 EDUCATION

Northeastern University January 2023 - October 2024 Master's, Computer Science GPA: 3.8

Gettysburg College August 2016 - March 2020

Bachelor's, Organization and Management Studies

PROFESSIONAL EXPERIENCE

VETRO Remote

Software Engineer January 2025 - Present

• #1 GitHub contributor to a flagship product that generated $2.4 million in revenue within the first six months of launch, demonstrating impactful contributions to high-growth software projects and visions.

• Developed and optimized network services and APIs written in Python/GoLang that interact with core TCP/IP networking layers.

• Managed and maintained Linux-based networking systems, ensuring high availability and performance.

• Worked closely with SREs, DevOps, and Network Engineers to optimize infrastructure performance.

• Analyzed large-scale network telemetry data to identify trends, anomalies, and failure patterns. VETRO Remote

Software Engineer Co op August 2024 - January 2025

• Leveraged machine learning frameworks such as TensorFlow, PyTorch, and Scikit-Learn, along with Kubeflow for model deployment, to develop and optimize large language models (LLMs), recommendation systems, and custom AI solutions tailored for production environments. These models enhanced product functionality and improved user experience by delivering accurate and scalable AI-driven recommendations and insights.

• Collaborated with a scrum team in an Agile environment to develop, refine, and ship full-stack applications using modern frameworks (React.js, Vue.js, Express.js) and languages (Typescript, Python)

• Gained experience in building and querying geospatial databases using PostgreSQL and PostGIS.

• Developed scalable and fault-tolerant systems by collaborating on designing distributed storage solutions in a large distributed computing environment.

Banbury Remote

Software Development Engineer August 2023 - August 2024

• Developed a prototype for a pioneering platform that merges advanced networking techniques with machine learning using Golang, Python, C++, Java, Javascript

• Enhanced platform scalability and functionality by integrating full-stack development principles, developing both front-end and back-end components using SQL databases for data storage and retrieval.

• Improved platform capabilities by implementing BI tools and SQL queries to generate insightful reports for client customization, data setup, configuration, and ongoing maintenance.

• Enhanced scalability and deployment of the platform by utilizing Kubernetes to manage and deploy containerized applications within the decentralized cloud computing platform.

• Facilitated seamless communication between devices by developing a complex networking framework and utilizing Nginx to manage and optimize network traffic, making local AI inferences feasible.

• Improved client support and project management by integrating a ticketing system to track and address client needs and ongoing support requests.

Contract Remote

Software Development Engineer August 2023 - April 2024

• Contributed to Agile development and CI/CD practices by collaborating daily with senior software engineers, implementing CI/CD pipelines to streamline development and deployment processes.

• Improved AI inference efficiency by leveraging networking technologies such as DNS and HTTP, ensuring rapid and reliable data access across distributed systems.

• Leveraged relational databases for data management, effectively supporting AI-driven applications

• Created an extensive API library and a Software Development Kit (SDK), facilitating future enhancements and customization, ensuring scalability and adaptability of the technology. Northeastern University Remote

Teaching Assistant August 2023 - December 2023

• Delivered lectures to the class, explaining complex programming concepts and facilitating group discussions, enhancing computer science and data science students' understanding and engagement.

• Assisted in preparing and conducting laboratory sessions, tutorials, and discussion groups.

• Provided one-on-one assistance to students during office hours or scheduled appointments, offering support with programming concepts, assignments, and project work.

• Graded assignments, quizzes, and exams, providing timely and constructive feedback to students.

• Collaborated with the course instructor to develop teaching materials, including lesson plans, slides, and practice exercises. UBS New York, NY, USA

Registered Client Service Associate October 2021 - January 2023

• Advanced to a senior role within the Client Service Associate team, specializing in overseeing comprehensive compliance-related issues, including anti-money laundering protocols and financial advisor performance.

• Enhanced business analytics and business intelligence by driving initiatives to improve business processes, supporting compliance and operational efficiency.

• Enhanced audit accuracy and compliance by ensuring adherence to internal operating procedures during audits of accounts and maintenance changes, utilizing SQL for database management.

• Provided strategic advice to regional directors on prevailing trends, highlighting areas for improvement and driving initiatives that enhanced overall business efficiency and compliance standards.

• Increased data-driven decision making by utilizing BI tools and statistics to analyze compliance trends, providing strategic advice and highlighting areas for improvement.

UBS New York, NY, USA

Financial Advisor March 2021 - October 2021

• Built relationships with clients to meet business objectives including asset consolidation, diversification, and client deepening

• Improved client understanding of financial markets and economic conditions by utilizing strong communication skills to explain complex concepts.

• Recommended appropriate UBS products and services to meet clients' financial goals by utilizing consultative selling skills

• Analyzed portfolio performance reports, in conjunction with Wealth Management research and external parties, to make suitable investment recommendations

UBS New York, NY, USA

Training Financial Advisor January 2021 - March 2021

• Developed a strong foundation in customer service, product knowledge, financial markets, financial planning, investment strategies, consultative selling, and wealth management solutions through interactive training sessions, live client interactions, and ongoing learning & development opportunities with experienced leaders

• Acquired Series 7 & Series 66 FINRA Licenses

• Built and deepened relationships with an existing client base of over 300,000 clients Equitable New York, NY, USA

Financial Professional July 2020 - January 2021

• Gained valuable experience with regards to sales pipelines, referrals, and opportunity tracking.

• Acquired Securities Industry Essentials (SIE), New York Life Accident & Health licenses.tc. Waters and Kachmar Portland, ME, USA

Internship May 2016 - June 2016

• Communicated in various meetings with clients and business partners discussing ideas on estate and corporate needs-based insurance planning.

• Participated in several BNI organizations providing a plethora of referrals to members of the organization.

• Provided my insight with a co-owner of Waters and Kachmar about innovative ideas of the company in addition to entrepreneurial ideas that he has for the future. Provided helpful connections for the acceleration of the new innovative ideas for the company as well as the co-owner’s entrepenurial planning.

• Participated in annual community service through United Way with members of Waters and Kachmar. IDEXX Westbrook, ME, USA

Internship April 2016 - May 2016

• Analyzed data regarding various cients and outlined inconsistencies in the data.

• Hands on experience in the Research and Development department. Tested the Catalyst One Chemisry Analyzer for a possible inconsistencies in durability of the instrument. Performed various tests on the Sedivue Dx Urine Sediment Analyzer to increase the diversity of tests able to be used with the instrument. RESEARCH AND PUBLICATIONS

Future-Proofing Computer Behavior: A Framework for Predictive Analytics and Seamless Device Integration Remote April 2024 - August 2024

• Utilized predictive analytics to enhance the understanding and management of device behaviors and performance metrics, including Wi-Fi upload/download speeds, GPU usage, CPU usage, and RAM usage.

• Developed and implemented a relay server strategy to enable seamless and secure communication between devices across different network environments.

• Built and trained a Long Short-Term Memory (LSTM) network model to forecast device performance metrics and facilitate informed decision-making for resource allocation.

• Analyzed the performance of predictive models using Mean Squared Error (MSE) and Root Mean Squared Error (RMSE) to ensure high accuracy in predictions.

SKILLS

Skills: Node.js, AWS, Computer Vision, C#, Django, Docker, Flask, Heroku, JavaScript, jQuery, Git, HTML/CSS, Java, Keras, Linux/Unix, C/C++, MongoDB, MySQL, .NET, NumPy, Pandas, Postman, Pytorch, React.js, React Native, REST APIs, Ruby, Ruby on Rails, Rust, Salesforce, Python, Go, Excel/Numbers/Sheets, Express.js, Firebase

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