AlexSelimov.com/content/cv.md

title	date
	2022-10-04T23:35:54-04:00

Alex Selimov

alex@alexselimov.com · https://alexselimov.com

Skills

• Programming Languages: Python, C++, Rust, Java, Fortran, Bash
• Algorithm design, data structure design, runtime complexity analysis
• High Performance Computing: Message Passing Interface (MPI), OpenMP, C++17 parallelism, Rayon, Python multithreading
• Proficient in Linux environments on desktop, personal server, and computing cluster architectures.
• Knowledge of product development tools such as git, Docker, CI/CD pipelines, JIRA, and Agile workflow.
• Expertise with development and profiling tools: Valgrind, gdb, gprof, Intel VTune profiler, tau profiler.
• Technical writing abilities which resulted in 8 published journal articles and creation of software specifications/documentation.

Experience

UKG, Atlanta
Software Engineer (May 2025 -- Present)

• Worked as backend engineer on notifications as a service using a microservice architecture built on top Java, SpringBoot, Kafka, RabbitMQ, MongoDB, Splunk, and Grafana technologies.
• Implemented improved observability for services to reduce service downtime.
• Acted as a Security Champion and addressed security vulnerabilities in existing code based on SAST and SCA scans performed using CXOne Checkmarx.
• Led implementation of testing services for web push notification services.
• Assisted in development of MCP server and LLM chatbot proof-of-concept to act as an internal assistant for providing support to other UKG teams.

SpaceWorks Enterprises, Atlanta
Senior Software Developer (January 2024 -- April 2025)

• Lead development and maintainer role for commercial off-the-shelf (COTS) software products as well as NASA and NAVAIR programs in Rust and Python.
• Led development of modular and extensible simulation libraries for modeling applications including multi-body six-degree-of-freedom simulations, state-space linear simulations for control system design, differential evolution optimization, among others.
• Improved mesh based calculations from ~1 hour to ~1 minute per analysis through improved data structure and algorithm design.
• Implemented multi-threading for accelerating simulation analysis and for asynchronous execution.
• Developed equilibrium gas composition solver for different stages of a rocket engine cycle with order-of-magnitude improved speed compared to legacy approach.
• Product owner for COTS product including final approval of merge requests, interfacing with customers for sales and technical support, and helping to develop software roadmaps.
• Developed and maintained CI/CD pipelines for COTS products using Gitlab runners and docker containers.
• Mentored junior developers in idiomatic Rust and software architecture.

Third Wave Systems, Minnesota
Computational Mechanics Engineer (December 2022 -- January 2024)

• Worked in an Agile team on a variety of projects requiring fast context switching to implement cutting edge functionality in C++, Fortran, and Python.
• Worked on large legacy C++ FEA code bases to add new functionality as well as address subtle legacy bugs resulting from race conditions, invalid memory access, and incorrect usage of programming language built-ins.
• Refactored core solvers utilizing an Octree data structure for adaptive mesh refinement, utilizing OpenMP and C++17 built in multi-threading, resulting in 90% reduction in simulation time.
• Implemented improved force models for drilling through addition of analytical equations for elastic indentation, which reduced error by 10% relative to experiments.
• Led team members in implementation of machine learning analysis in Python requiring accurate effort estimation and selection of functionality based on effort/risk to reward.
• Mentored junior developers in idiomatic Python and machine learning concepts.
• Automated manual simulation creation and analysis workflows using Python, leveraging active learning based adaptive sampling, to reduce manual effort by engineers and reduce usage of compute resources by ~80%.

McDowell Research Group, Dr. David McDowell, Georgia Tech
Graduate Research Assistant (August 2017 -- December 2022)

• Developed and extended Concurrent Atomistic-Continuum (CAC) simulation toolkit involving the development of a coupled finite element method and classical many-body molecular dynamics simulation tool in C++ and Fortran.
• Developed a series of Python pipelines for analyzing simulations and visualization of simulation results.
• Refactored significant portions of the code to reduce simulation run times by 60% through design of new algorithms and improved implementation of communication subroutines utilizing MPI.
• Profiled and tuned software performance for high performance computing clusters including implementing code structure changes enabling improved compiler optimizations and addressing MPI communication bottlenecks.
• Worked independently on self-guided research topics while also collaborating with external sources such as Sandia National Lab and University of Florida.
• Authored three published journal articles and four conference presentations.

Mechanics of Materials Organization, Dr. Xiaowang Zhou., Sandia National Lab
Intern - Engineering Sciences Summer institute (May 2021 -- August 2021)

• Restructured simulation toolkit codebase to abide by an object-oriented programming paradigm to ease addition of functionality.
• Worked on the development of finite temperature CAC simulations through design of novel finite elements.
• Developed methods for pressure controlled CAC simulations.

Education

• Georgia Institute of Technology (North Avenue, Atlanta, GA 30332)
  PhD in Materials Science and Engineering (August 2017 - December 2022)
• University of Central Florida (4000 Central Florida Blvd, Orlando, FL 32816)
  B.S. in Mechanical Engineering (August 2013 - December 2016)
  Bachelor's Thesis: Characterization of Dispersion and Residual Stress in Nanoparticle Reinforced Hybrid Carbon Fiber Composites

Publications:

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Presentations

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Grants

• Role: Co-PI (PI. David McDowell), Amount: 1,997,041 Service Units
  Funding Source: Extreme Science and Engineering Discovery Environment (XSEDE)
  Project Title: Concurrent atomistic-continuum simulations of extended scale defect interactions in heterogeneous microstructures (TG-MSS150010)
  Funding Period: Jan 1, 2019 - June 30, 2022