I'm a Computer Science student at The University of Texas at Austin (class of 2027) with a minor in social and behavioral sciences. I'm especially interested in machine learning and computer vision.
Outside of the classroom, I spent four years on the Texas Men's Swim and Dive team, contributing to back-to-back national championships and four conference championships. I am projected to be the first four-year varsity athlete at UT to earn a B.S. in Computer Science. My athletic background shaped how I work: with discipline, consistency, and continuous improvement under pressure.
In my free time, I enjoy cooking, spending time with friends, working out, and exploring new places.
B.S. Computer Science — Minor: Social & Behavioral Sciences — Expected May 2027 · Full detail on the resume page.
Honors
Athletic Highlights:
High school
Aliant+ — Remote — Summer 2026
At Aliant+, I had the opportunity to own a software project from the first client conversations through production deployment. The company’s member onboarding process was spread across emails, spreadsheets, questionnaires, and several disconnected tools, so I built a secure AWS-hosted portal that guides law and accounting firms from invitation and account creation through review, payment, onboarding, and activation. I also created administrative tools that let Aliant staff review applications, track each firm’s progress, and update onboarding resources without relying on a developer. Much of the challenge came before writing code: I had to understand the real workflow, decide what could be automated and what still required human judgment, and design a first version that could launch without waiting for every outside integration. The experience taught me how to take ownership of an ambiguous project, explain technical decisions to nontechnical stakeholders, and turn an initial conversation into software that people could use.
TexBioMed — Austin, TX — Summer 2026
As a software engineering intern at TexBioMed, I turned manual sales and operations work into internal tools inside Google Workspace and GoHighLevel. The main shipped system is a shipment tracker used daily: a Google Apps Script pipeline reads a shared inbox, extracts UPS, USPS, and FedEx tracking numbers, updates a dedicated sheet instead of duplicating rows, and maps each shipment to the right sales representative — without overwriting the company's source-of-truth spreadsheets. I also configured a production patient-intake flow in GoHighLevel so a representative can start a case, the patient submits details, and the right internal person gets notified. A quote flow for a ~117-product catalog and a provider ordering portal were designed; they were not deployed.
UT Men’s Swim & Dive — Austin, TX — 2022 – 2026
During my four years as an NCAA Division I swimmer at the University of Texas, I trained and competed in one of the country’s most demanding collegiate programs, contributing to two NCAA team championships and four conference titles. The experience taught me how to perform in a high-expectation environment where results are measurable and long-term improvement comes from consistent work, careful analysis, and a willingness to act on direct feedback. Balancing more than 25 hours of training and competition each week with a computer science degree strengthened my ability to manage competing priorities, remain composed under pressure, and work through setbacks. Swimming also taught me the importance of individual accountability within a team: each person must take ownership of their preparation while upholding shared standards and contributing to a larger goal. I bring that same discipline, adaptability, and team-first approach to every professional challenge I take on.
Longhorn Aquatics — Austin, TX — 2025 – Present
At Longhorn Aquatics, I coach high school athletes in the National and National Development groups, typically working with around 30 swimmers and helping lead combined practices of more than 50. My coaching centers on technique and the physics and biomechanics behind fast, efficient swimming. Rather than simply telling swimmers what to change, I teach them why it works; I explain how factors such as body position, momentum transfer, and drag influence their performance in the water. I design practices and training sets, lead instruction on deck, and provide individualized feedback while adapting each session to the group’s needs. Through practices and meets, I aim not only to develop faster swimmers, but also to instill the qualities that make great athletes: confidence, consistency, purpose in their training, and commitment to a strong team culture.
Private Triathlon Coaching — Austin, TX; Remote — 2024 – Present
I run a private coaching business helping triathletes improve their swimming technique and become more confident and efficient in the water. Most coaching is conducted remotely: athletes send me training videos, which I review to provide individualized technique feedback, drills, swim sets, and training plans. Drawing on my experience as an NCAA Division I swimmer, I translate high-level technical concepts into practical guidance for athletes of different backgrounds and abilities. I also manage the business’s scheduling, payments, and client communication while expanding its services to include in-person coaching.
Click 'Learn more' on any project for a short write-up.
Swim Vision is a personal project designed to help triathletes better understand and improve their swim technique using simple, self-recorded video. The goal is to transform a swim clip into a clear 3D visualization of the stroke, compare key movements with elite swimmers, and deliver practical, actionable feedback for improvement.
Project demo will be available soon.
Built a machine learning pipeline to predict whether FAA-reported wildlife strikes would cause aircraft damage using historical aviation incident data. Focused on imbalanced classification, feature engineering, and improving balanced accuracy across damage classes.
I competed as an elite swimmer while balancing a rigorous course load at The University of Texas at Austin. More than anything, that experience taught me how to operate in high-performance environments built around accountability, repetition, and measurable results.
I bring that same mindset into engineering. I’m drawn to systems that need to perform reliably under pressure, where iteration, feedback, and disciplined execution matter more than flashy ideas. The process of improving software feels very familiar to improvement in sport: measure honestly, identify weaknesses quickly, and compound small gains over time.
The fastest way to reach me is email. You can also find me on GitHub, LinkedIn, and Instagram.
mhhaskal@gmail.com