Summer School — Data and Security
Universidad Politécnica de Madrid (UPM) — Madrid, Spain · 2024
Public profile
Dilnaz Zholmaganbet
@dzzmg
AI engineer
Actively looking
Python
Embedded
C++
Electrical & Computer Engineering graduate (Budapest University of Technology and Economics, Embedded & Control Systems) with hands-on experience spanning industrial automation, IoT telemetry, and data-driven operations.
AstanaBudapest
About
Currently supporting a wireless data-acquisition system for oil & gas wells at Manul Technologies, following prior experience building forecasting models and leading UI/functional testing at Wizz Air. Combines embedded and PLC programming (Siemens S7, ESP32, KiCad) with software and analytics skills (Python, machine learning, Power BI) to design, test, and troubleshoot end-to-end automation systems.
How I can help
finding a job, good peers for collaboration, and supervising me
Looking to connect
peers, supervisor, job, community
Career
Experience, skills, projects, and achievements.
Actively lookingExperience: 1 years
AI engineer
Skills
PythonEmbeddedC++MLNLP
Achievements
Experience
Digital Solution Engineer
MAnul technologies
May 2026 — Sep 2026Contributed to the deployment and support of a wireless data-acquisition and transmission system for oil & gas wells, covering field sensors, controllers and transmitting equipment. • Configured wireless connectivity between field equipment (wells, sensors, controllers), managing LoRaWAN devices and gateways through ChirpStack. • Created and configured well assets in the company's proprietary web platform for real-time monitoring. • Designed and edited electronic schematics and PCB layouts in KiCad for field controller and transmitter hardware. • Prepared technical specifications for controlle
Operations Control Center Intern
WizzAir Ltd.
Jan 2025 — Jan 2026Operations Control Center Trainee - Wizz Air Jan 2025 – Jan 2026 • Fine-tuned a pretrained ASR model to aviation-domain vocabulary and deployed it to automatically transcribe operations meetings and generate meeting minutes. • Developed a dynamic crew-standby forecasting model using ARIMA time-series methods to optimize resource allocation and improve prediction accuracy. • Built automated data-collection and correction pipelines (VBA, Power Query M) for operational datasets. • Designed a decision-rules engine and decision matrix for disruption management; monitored KPIs and reported via Power
Education
BSc in Electrical Engineering
Budapest University of Technology and Economics
2022 — 2026