Update CV

content/cv.md

@@ -6,9 +6,70 @@ date: 2022-10-04T23:35:54-04:00
 Alex Selimov
 ==================
 
-
 **alex@alexselimov.com · [https://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)\
@@ -31,44 +92,3 @@ Alex Selimov
 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
-
-## Research Experience
-**McDowell Research Group**, Dr. David McDowell, Georgia Tech\
-*Graduate Research Assistant (August 2017 -- Present)*
-
-- Worked on the development and extension of the Concurrent Atomistic-Continuum method for running massively parallel coarse-grained atomistic simulations of dislocation interactions with interfaces and other defect structures in nanolaminate and stainless steel materials.
-- Improved parallel implementation and tuned calculation algorithms of in-house simulation suite obtaining runtime reductions of 66%. Also contributed to a fork of LAMMPS implementing the CAC simulation method.
-- Implemented the finite element method to solve conservation law field equations to enable reductions in degrees-of-freedom leading to reduced computational cost.
-- Tested various metrics to numerically characterize atomic interface structure of metallic semi-coherent interfaces and applied machine learning methods to track the interface structure evolution with loading.
-- Modeled solute distributions in diffuse Cu/Ni semi-coherent interfaces and their effect on the glide of interface misfit dislocations and overall interface properties.
-- Investigated the sequential interactions between dislocations and obstacles in various systems to quantify evolving obstacle strength and interaction mechanisms.
-
-**Mechanics of Materials Organization**, Dr. Xiaowang Zhou, Sandia National Lab\
-*Intern - Engineering Sciences Summer institute (May 2021 -- Aug 2021)*
- 
-- Studied the barrier strength of grain boundaries with embedded helium bubbles to improve hardening predictions of irradiated stainless steel materials, collaboration continued beyond internship period.
-- Extended molecular dynamics barostat algorithms to coarse-grained regions for pressure relaxation.
-- Worked on CAC capabilities for high temperature dynamics simulations through development of new finite element types and extension of neighboring codes for cluster potentials.
-
-**AeroStructures Lab**, Dr. Seetha Raghavan, UCF\
-*Research Assistant (September 2013 -- December 2016)*
-
-- Utilized photoluminescence spectroscopy and piezospectroscopy for the characterization of material and mechanical properties in ceramic and composite materials.
-- Worked on collaborative project with Imperial College London (Dr. Ambrose Taylor’s Research Group) for the testing and characterization of novel hybrid carbon fiber reinforced polymer (HCFRP) composites.
-- Worked on collaborative project with German Aerospace Center (DLR) to study stress development in thermally grown oxide layers of thermal barrier coatings.
-
-**Pollock Research Group**, Dr. Tresa Pollock, UCSB \
-*RISE Undergraduate Intern, NSF funded REU (June -- August 2015)*
-
-- Studied Magnesium-zinc alloys to determine methods for texture weakening for improvement of material properties through analyzing presence of intermetallic particles. 
-- Utilized scanning electron microscopy to take secondary electron images, backscatter electron images, and to analyze crystallographic texture through electron backscatter diffraction
-- Prepared image analysis tools to determine volume fraction of intermetallic particles from SEM images for comparison to grain size distribution of samples with Matlab.
-
-## Skills
-
-- Programming in Fortran, C, and C++ with additional expertise utilizing the Message Passing Interface (MPI) for implementation of parallel and scalable simulation tools.
-- Programming in MATLAB, HTML, and CSS.
-- Data analysis and pipeline creation using Python with Numpy, Scipy, Scikit-Learn, Pandas, and Tkinter modules. Additional familiarity with Jupyter Notebooks.
-- Expertise in atomistic simulations using LAMMPS with Molecular Statics, Molecular Dynamics, and Monte-Carlo methods.
-- Expertise with Linux software environment and building applications for use with computing cluster architectures.
-- Familiarity with software development methodologies including test case design and CI/CD pipelines.