DL Engineer
- 4000 $
- Rosja (Moskwa)
- 24-11-2025
Osoba kontaktowa: Alisher Kendzhaev
Kraj rezydencji: Rosja
Wiek: 23
Specjalność: Specjalista ds. sztucznej inteligencji i uczenia maszynowego
Telefon:
Doświadczenie zawodowe:
Huawei Moscow, Russia
CV Engineer March 2025 – Present
– Designed and conducted pose estimation research on RGB-D with ground truth; developed a pipeline from
synchronization and retiming to quality metric calculation. Solved the irregular FPS problem: aligned by
timestamp, interpolated poses with oscillation regularization.
– Developed a driver head position prediction algorithm based on facial key points (eye center), considering
occlusions and optical distortion from the display while estimating visible jitter.
– Explored and implemented low-pass IMU filtering algorithms with hyperparameter tuning via Optuna and pitch
angle prediction for a 150ms horizon.
Computer-Aided Design Systems Lab Moscow, Russia
DL Engineer February 2024 – February 2025
– Generated synthetic data using FLUX+ControlNet: created weather and optical scenarios
(night/snow/rain/mud/glare, partial occlusions) while preserving geometry.
– Developed and implemented an auto-annotation system based on CLIP and GroundingDINO to search for and
detect cars and license plate regions.
– Implemented a Qwen-VL-based system for automatic generation of batch text specifications, improving recall on
rare cases by 6-9%.
– Designed a detection system for static CCTV using synthetic and real data.
CAVISE Moscow, Russia
Engineer December 2022 – January 2024
– Integrated and tested MACAD-Gym: implemented a multi-agent RL platform over CARLA for training/evaluating
autonomous driving policies.
– Optimized V2V/V2X collaborative perception algorithms, improving perception quality and agent action
consistency in noisy communication conditions.
– Analyzed CARLA maps and optimized training dataset preparation, speeding up preparation by almost 2x.
CV Engineer March 2025 – Present
– Designed and conducted pose estimation research on RGB-D with ground truth; developed a pipeline from
synchronization and retiming to quality metric calculation. Solved the irregular FPS problem: aligned by
timestamp, interpolated poses with oscillation regularization.
– Developed a driver head position prediction algorithm based on facial key points (eye center), considering
occlusions and optical distortion from the display while estimating visible jitter.
– Explored and implemented low-pass IMU filtering algorithms with hyperparameter tuning via Optuna and pitch
angle prediction for a 150ms horizon.
Computer-Aided Design Systems Lab Moscow, Russia
DL Engineer February 2024 – February 2025
– Generated synthetic data using FLUX+ControlNet: created weather and optical scenarios
(night/snow/rain/mud/glare, partial occlusions) while preserving geometry.
– Developed and implemented an auto-annotation system based on CLIP and GroundingDINO to search for and
detect cars and license plate regions.
– Implemented a Qwen-VL-based system for automatic generation of batch text specifications, improving recall on
rare cases by 6-9%.
– Designed a detection system for static CCTV using synthetic and real data.
CAVISE Moscow, Russia
Engineer December 2022 – January 2024
– Integrated and tested MACAD-Gym: implemented a multi-agent RL platform over CARLA for training/evaluating
autonomous driving policies.
– Optimized V2V/V2X collaborative perception algorithms, improving perception quality and agent action
consistency in noisy communication conditions.
– Analyzed CARLA maps and optimized training dataset preparation, speeding up preparation by almost 2x.
Edukacja:
National Research University “Higher School of Economics” Moscow, Russia
Faculty of Applied Mathematics, Mathematics
– Bachelor of Mathematics, Applied Mathematics Program.
Faculty of Applied Mathematics, Mathematics
– Bachelor of Mathematics, Applied Mathematics Program.
Umiejętności zawodowe i inne:
Pytorch, Lightning, Computer Vision, LLM, ML, OpenCV, Python, Bash, pandas, Docker, FAISS, FastAPI,
Transformers, Deep Learning, Latex, Unix, SQL, LoRA, Flux, VLM, ONNX, TensorRTDockerBashPythonSQLFastAPIPandas
Transformers, Deep Learning, Latex, Unix, SQL, LoRA, Flux, VLM, ONNX, TensorRTDockerBashPythonSQLFastAPIPandas
Umiejętności językowe:
Angielski
Dodatkowo:
An engineer in machine learning and computer vision with experience in AR/VR systems. Specialist in the
development and implementation of algorithms for tracking, recognizing and filtering data, as well as working
with LLM and VLM.
development and implementation of algorithms for tracking, recognizing and filtering data, as well as working
with LLM and VLM.
