From long runs to code sprints
As a former runner, I relentlessly pursue my goals. My finish line isn't a medal, it's a solution. My experiments aren't for headlines, but a better tomorrow. I want to fill the cracks in the world rather than widen them.
Messy problems are my playground. I thrive on crafting elegant, sustainable solutions tailored to specific challenges. My evolving skills help me unravel complexity, build for impact, and champion sustainable solutions.
Web/App Development
I craft dynamic web experiences from the ground up, wielding Python, PHP, and Java to sculpt robust backends. ReactJS and AngularJS become my paintbrushes, shaping interactive canvases that work even when the wifi doesn’t. Forget cookie-cutter solutions, let’s build something authentic (and maybe offline-ready, just in case).
Data Analysis
I translate data into data-driven intelligence. Python helps me create wrangle complex datasets and create anomaly detectors and personalized recommendations systems, while ReactJS visualizes my creations.
Machine Learning
I bring languages and visions to life – building and deploying Natural Language Processing and Computer Vision models used in real-world applications. My toolkit includes crafting tailored loss functions like hierarchical cross-entropy for nuanced learning and classification.
Mechanism Design
I craft economic mechanisms that align individual actions with collective goals, like efficient markets or sustainable resource use. Think puzzles with purpose, building systems that guide behavior without coercion.
Operations Research
Unraveling the tangled threads of resource allocation through operations research, I wield linear and combinatorial tools to sculpt streamlined, cost-optimal solutions.
System Architecture/Design
I architect resilient, scalable systems using Docker orchestration, microservices via REST APIs, and Gitlab CI/CD pipelines for robust development - I build the foundation for smooth, high-traffic experiences.
My blog offers a glimpse into my mind, it's a sandbox for exploring messy, real-world problems problems and their solutions. I delve into sustainable solutions, impact-driven design, and practical approaches that go beyond the next shiny trend.
Fair Division of Goods
How to use algorithms in FairPy to efficiently find fair allocations of goods and create fair systems.
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2 Trustworthy Alternatives to Improving Performance Lists in Track & Field
Improving meet performance lists in track & field using the previous performances of the competitors
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FitnessJS
A Typescript library for physical fitness calculations
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Data Simplification & Summarization
Simplifying polylines and trajectories using the Ramer-Douglas-Puecker algorithm, and summarizing graphs/networks to speed up computations using grouping-based and compression-based algorithms.
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Data-driven Track & Field/Cross Country
Metrics for more mathematical approach to evaluating and quantifying track & field performances, the competition, and areas for improvement.
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W&M: Tag Day
A front-end web development project for a charitable giving initiative for William & Mary.
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