Mark Baumstein

Software Engineer

mabaums@gmail.com

Summary

Proactive and versatile Software Engineer with a talent for quickly acquiring expertise across a wide technology spectrum and platforms. A collaborative team player known for clear communication and strong people skills vital for project success. Actively seeks roles that encourage learning and offer opportunities to tackle new technical challenges.

Experience

Software Engineer

TGS, Houston

August 2023 - Present

  • Delivered key features in a full-stack web app (.NET/C#/Angular/Typescript) for Operations/Management teams to monitor and generate vessel/crew schedules eliminating the need for tedious manual computations.
  • Boosted application performance >10x through algorithmic/architectural optimization, also enhancing UI/UX and improving user satisfaction.
  • Designed and implemented a key Cost Risk Analysis feature within one-month, delivering crucial functionality at substantial cost savings compared to $100K+ external quote.
  • Led stakeholder meetings to collect and define requirements and integrate unique use cases into project roadmap.

Harris County Tax Protest

Personal Project

September 2024 - Present

  • Developed a full-stack web application enabling users in Harris County to automatically generate formatted PDF reports for property tax protests.
  • Engineered a performant backend RESTful API using FastAPI with Pydantic models for robust data validation and processing of user-submitted property information.
  • Implemented a sales-data-driven algorithm to automatically identify comparable properties, strengthening the basis for valuation protests.
  • Created an intuitive and responsive user interface using React, styled with TailwindCSS, and built with shadcn/ui components.
  • Utilized PostgreSQL for reliable data storage, implementing database optimizations (e.g., strategic indexing, query tuning) to enhance data retrieval speed for report generation and comparable property searches.
  • Managed deployment by containerizing the application with Docker and hosting scalable services on Google Cloud Platform (GCP).

Football Prediction Project

Personal Project

May 2022 - Present

  • Architected and developed a full-stack web application leveraging a modern tech stack for predicting soccer match outcomes.
  • Built a high-performance RESTful API using FastAPI with Pydantic models for robust data validation and interaction with a PostgreSQL database.
  • Implemented and compared Tensorflow-based ML models (e.g., RFN, LSTM) using Pandas and NumPy for data manipulation, focusing on player and formation data to drive predictions.

Software Engineer

Techcess Cybersecurity, Houston, TX

May 2023 - August 2023

  • Automated report generation using KnowBe4 API allowing stakeholders to streamline and coordinate Phishing and Cybersecurity awareness training.

Computer Engineer Co-Op

Stellantis, Remote

May 2020 - August 2021

  • Developed parsers and Python scripts for AUTOSAR C and ARXML files to improve cross-team development and ECU model integration efficiency; also designed an AC/DC inverter model in Simulink/Stateflow.

Skills

Programming:

PythonC#TypeScriptGolangJavaC++CSQLCSS

Stacks:

GCPDockerPostgreSQLMSSQLAngular.NETTailwindCSSshadcn/uiGitHub ActionsTeamCityOctopus Deploy

Packages:

PandasNumPyTensorFlowscikit-learnFastAPIFlaskPydanticReportLabSwagger

Education

Bachelor of Science in Computer Engineering

Purdue UniversityWest Lafayette, IN

2023

Languages

English (Native)Russian (Native)French (Fluent)