RÉSUMÉ / 2026

Aleksandr Babarika

Computer science student and software engineer working on backend systems, quantitative tools, and embedded software.

Projects

The Portfolio App

2026—PRESENT

Active · Functional staging · Creator

A working portfolio tracker for virtual accounts and shared households. It records transactions, calculates holdings, valuation, P&L and time-weighted returns, and tracks allocation drift using live prices.

FastAPI handles the main product workflows. Rust handles quote ingestion and calculation-heavy work. The public API uses OpenAPI; services communicate over gRPC using protobuf.

Repository ↗

OpenQuant

2025—2026

Active · Pre-release alpha · Creator · Full-stack engineer

An early alpha for running Python strategies and inspecting the results. Each run records its code, parameters, data version, engine version, and random seed. The current build has completed a 190-trial grid search.

190 / 190 sweep trials completed

Repository ↗

Poker TUI

2025

Complete · Maintained · Creator · Rust engineer

A Rust terminal game built around a pure poker engine, local bots, live equity estimates, and a networked client/server mode.

Includes the game engine, terminal UI, bots, equity estimates and client/server play. The image below is an illustration, not a product screenshot.

Repository ↗

Neural Pitch Shifter

2026

Active experiment · Training · Creator · ML engineer

The pipeline uses a conditional U-Net to predict a pitch-shifted mel-spectrogram, then HiFi-GAN turns it back into audio. Demucs can separate vocals before processing.

The pipeline is implemented, but training and model comparisons are still in progress. The diagram shows the intended signal flow.

Repository ↗

Experience

Data Science Intern

Dr. Koffer New York · Moscow

Built forecasting and allocation tools for the logistics team, contributing to a reported 15% reduction in costs. I also built a Telegram bot that gave managers up-to-date product metrics and charts.

Education

BSc Computer Science

King’s College London

Currently studying.

Foundation in Mathematics and Computer Science

King’s College London

83% overall · 89% Computer Science · 86% Mathematics for Natural Sciences.

Capabilities

Backend

FastAPI and Rust · PostgreSQL · OpenAPI and protobuf · Authentication

Reliability and testing

Reproducible runs · Isolated workers · Recovery · Deployment checks

Performance

Database queries · Batching and caching · Atomic updates · Infrastructure

Quantitative software

Portfolio accounting · Backtesting · Market data · Poker engine

Embedded and ML

STM32 firmware · Signal processing · Audio models · Audio resynthesis