# Artur Pelcharskyi

[@artur\-pelcharskyi](https://hacklab.so/artur-pelcharskyi)

Artur Pelcharskyi is Junior Machine Learning Engineer at Alta Ares. No AI coding activity was synced in the last 30 days.

ML and computer\-vision engineer at Alta Ares\. Experience spans applied research, geometric ML, molecular\-docking models and teaching\.

Joined: 2026-09-16

0 followers · 0 following

## Links

- [LinkedIn](https://linkedin.com/in/artur-pelcharskyi-824787283)

## AI usage (All time)

No activity in this period.

## Accomplishments

### [ML inventory planning across 30,000\+ products](https://www.linkedin.com/in/artur-pelcharskyi-824787283/)

At AGROSEM, reports building inventory\-planning forecasts and dashboards for 30,000\+ products, reducing planning from about a week for three employees to under one hour for one operator\. Self\-reported impact from LinkedIn\.

### [Eight\-student signal\-recovery research team](https://www.linkedin.com/in/artur-pelcharskyi-824787283/)

Led eight students researching signal recovery from incomplete frequency\-domain observations and applying the resulting methods to time\-series imputation\.

## Experience

### Junior Machine Learning Engineer — Alta Ares

2026\-09 – Present

Lviv, Ukraine; Paris, France

Machine\-learning engineering role following a computer\-vision apprenticeship at Alta Ares\.

### Computer Vision Engineer Apprentice — Alta Ares

2025\-08 – 2026\-09

The role entry describes working on air\-defense capabilities\. The profile summary identifies this as computer\-vision engineering experience\.

### Research Fellow — Center for Responsible AI at NYU

2025\-09 – 2026\-08

Developed geometry\-aware loss functions and inter\-atomic\-distance evaluation metrics for molecular\-docking generative models, using PyTorch for DiffGui/PMODIFF integration\. Investigated structural constraints to improve chemical validity and docking quality\. Created reusable preprocessing scripts computing statistical potentials from arbitrary datasets, including CrossDocked2020\.

### Teaching Assistant — UCU Faculty of Applied Sciences / APPS UCU

2024\-01 – 2026\-06

Lviv, Ukraine

Assisted Calculus, Algorithms and Data Structures, Linear Algebra and Mathematical Methods of Machine Learning courses\. Designed and maintained labs, graded work, provided academic support, led seminars/consultations and mentored course/project work\.

### Data Scientist — AGROSEM

2025\-01 – 2025\-06

Developed an ML inventory\-planning system for 30,000\+ products, incorporating historical demand and budget constraints\. Compared forecasting approaches for replenishment recommendations and built a web app with forecast visualisation and decision\-support dashboards\. Self\-reported result: planning effort reduced from roughly one week by three employees to under one hour for a single operator\.

### Researcher — Ukrainian Catholic University ML Lab

2025\-02 – 2025\-05

Lviv, Ukraine

Led a team of eight students researching optimal signal recovery from incomplete frequency\-domain observations\. Applied recovery methods to time\-series imputation and benchmarked performance across varying missing\-frequency\-information levels\.

### Quality Assurance Engineer — Sphera

2024\-07 – 2024\-08

Lviv, Ukraine

Quality\-assurance engineering role\.

## Education

### Bachelor’s degree, Computer Science — Ukrainian Catholic University

2022\-09 – 2026\-06

Computer Science study period listed as September 2022–June 2026\.