jk

Software engineer · Vancouver, BC

Hey, I'm Jace.

I'm from Kazakhstan, graduated from UCLA with a degree in computer science and a minor in anthropology, and I'm now working toward an M.S. in computer science at Northeastern University in Vancouver. I'm looking for summer 2027 internships and full-time software engineering roles.

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Portrait of Jace Kasen

Selected work

Built for curiosity

A project I started for fun

NBA Performance Analysis

I have followed the NBA closely since 2019 and kept wondering when players usually peak. I collected the data to investigate it myself, then expanded the project to cover individual careers, league-wide patterns, next-season forecasts and salaries across different cap eras.

Python pipelines clean the performance, prediction and salary data and publish it to Supabase. The Next.js site uses server-side queries, cached aggregates and API routes to power player search, interactive career and peak-age charts, forecasts, payroll breakdowns and cross-era salary comparisons.

Next.jsTypeScriptPythonSupabasePostgreSQL
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What it includes

  • →Career charts across five advanced metrics
  • →Next-season forecasts with observed results
  • →League-wide peak-age analysis
  • →Team payrolls, player salaries and cap-share rankings

A personal alternative inspired by Flighty

Flight Tracker

I liked how Flighty showed upcoming flights and travel history on a globe, but its recurring subscription prompts got too annoying. So I built a similar app for myself, with flight lookup, a private history, a route map and a yearly recap.

The app is built with Expo and Supabase. A Supabase Edge Function keeps the flight-data API key off the client, cleans up provider responses, caches results and limits requests. Row-level security keeps each user’s saved flights private, with database tests covering that access.

ExpoReact NativeTypeScriptSupabasePostgreSQLDeno
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What it includes

  • →Flight lookup and manual entry
  • →A globe showing saved routes
  • →Private histories enforced by the database
  • →Flight times shown in each airport’s time zone

Coursework

Coursework projects

These projects were completed as coursework at UCLA.

Made for a software engineering course

FinSight

A cross-platform budgeting app with authentication, transaction tracking, financial goals, dashboards, and social accountability features.

I worked on the React Native client, REST API, authentication flow, permissions, and PostgreSQL schema.

React NativeTypeScriptNode.jsPostgreSQL
Source

Made for a machine learning course

Decoding Wrist EMG to Text

A sequence-modeling project that translates wrist-muscle signals into typed text.

Built a shared preprocessing and evaluation pipeline, compared several architectures, and analyzed where each approach struggled.

PythonPyTorchSequence ModelsCTC
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Made for a computer vision course

Heavy-Duty Vehicle Site Selection

A computer-vision workflow for identifying heavy-duty vehicles in aerial imagery and mapping likely charging demand.

Built image tiling, annotation conversion, model training, inference, and mapping steps into one working pipeline.

PythonPyTorchComputer VisionGeospatial
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A little more about me

Things I've written

01Why I Changed My Name (Again)For real, again?02Navigating Linguistic Boundaries: Code-Switching and Identity Performance at Green BazarA research proposal on how sellers and customers at Almaty's Green Bazar switch between Kazakh and Russian to navigate identity, ideology, and the bargaining process.03Decoding Wrist EMG to Text with Recurrent, Convolutional-Recurrent, and Transformer ArchitecturesI compared a TDS convolution baseline against bidirectional LSTM, GRU, ResNet18 + LSTM, and Transformer encoders on the EMG-to-QWERTY typing task. The plain bidirectional LSTM won, cutting test CER from 24.18% to 18.95%.

What I'm looking for

I'm looking for summer 2027 internships and full-time software engineering roles.

I care more about the project, the team, and the chance to learn than a specific job title, so I'm open to a variety of roles.

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