Available now
M.Sc. student at TU Ilmenau · DAAD scholar
AI/ML engineer who ships. Time-series models and LLM agents.
Six pretrained time-series models against trained baselines on real sensor data. Preliminary pilot, may change: Chronos-2 cut the 24-hour error by about 29 %.
A FastAPI service that forecasts IoT sensor data with LLMs. 4 LLMs, 192 experiments: general-purpose LLMs were unreliable on numeric sensor data.
A Python LLM agent (LangGraph, tool use) that writes SystemVerilog testbenches. Three checker sub-agents vote by majority. Evaluated with mutation testing on VerilogEval designs.
Four years of mobile apps, mostly Flutter.
I built a Flutter marketplace app for iOS and Android, with premium and business accounts. I integrated subscriptions, sign-in, maps and error monitoring.
I built two iOS/Android apps and released three in the stores. Customer satisfaction reached 95 % within three months.
I built a retailer’s app (revenue +47 %) and an online shop with 20,000+ downloads and 100,000+ transactions.
I covered about 90 % of the app lifecycle, from concept to support. I improved the performance of a production app by 70 %.
I led an e-health system for doctors and patients. 1st place of 23 teams in healthcare.
Restaurant menu app in Flutter. MVVM, Stacked, JSON API.
Digital signature app “E-Gol”.
Restaurant app in MVVM clean architecture.
App for recycling and waste reduction in Thuringia.
FastAPI service predicting the next value of smart-city sensor data.
Python LLM agent for hardware verification.
Classic image harmonization methods.
I study Computer and Systems Engineering (M.Sc.) at TU Ilmenau on a DAAD scholarship and live in Bremerhaven. Coursework is done: 90 CP, average grade 2.1.
My thesis tests six pretrained time-series models on real smart-city sensor data. Before that I worked on LLM forecasting and on an LLM agent for hardware verification, and built mobile apps for four years.
Currently
Master's thesis at TU Ilmenau, 09/2026 – 03/2027.
Databases and Information Systems Group.
WorkStudies
90 CP, average grade 2.1. Thesis in progress. Courses: Deep Learning, Advanced Database Systems, Cloud Computing, Software Systems Engineering.
Grade 87/100 (German equivalent 1.7). Focus: C++, algorithms, operating systems, data structures.
Analytical and quantitative reasoning, completed with 90 %.
Available now, part-time or full-time, remote or in the Bremerhaven–Bremen area. Write about AI/ML, forecasting or LLM agents.
ruslanbek0809@gmail.com