Olga Ivanova Lead Machine Learning Engineer

AI Engineer

AUTODOC

Apr 2025 - Jun 2025 (3 months)

Built an agent that interacts with a dashboard in Power BI and analyzes data from it. Helped to develop object detection pipeline. Code refactoring. Research of the technologies suggestions in terms of the development activities.

S

AI/ML Engineer

Sensay.io

Jul 2024 - Aug 2024 (2 months)

Research about the techniques to make RAG quality of the product better. Check of the vendor providers prices of the hardware for running application in production. Preparing datasets for custom LLM finetuning. Prompt engineering techniques usage to make sure the input prompt covers the product updates. Helping to onboard new customers to the platform. Help to HR team to make clear HR policy documents.

S

Lead AI/ML Engineer

Solvd Inc.

Jan 2024 - May 2024 (5 months)

Creation of pre-sales materials with a focus on the technological aspects of the solution. Doing technical calls with the Clients with AI/ML tools suggestions. Creation of internal documentation about the use of AI/ML tools in the development process. Consulting and knowledge sharing sessions conducting. Conducting technical engineering interviews with the approved candidates. Testing third-parties AI/ML solutions before the production stage. Hiring people to the team. Built a recommendation engine and classifier model for the Client, Azure based solution. Made system design documents for a Client and for internal AI/ML project. Fine-tuned and updated Microsoft PHI-3 LLM on custom datasets with the use of Autotrain library on Hugginface.

G

Senior Computer Vision Engineer

Glimpse Analytics

Apr 2023 - Dec 2023 (9 months)

Making a Docker image to run Core library inside within the Openvino dependencies requirements. Preparing validation datasets for Detection and Tracking algorithms in MOT format. Preparing training datasets from customer's data for custom Detection and Classification use cases, and training and validating models on them. Models conversion, optimization and delivery. Research on a more accurate Tracking algorithms with checking them on customers' videos. Core code refactoring.

E

CV Tech Lead

EzSpeech

Sep 2022 - Feb 2023 (6 months)

Team Leading of a team of 4 developers - delivering tasks. Conducting technical interviews on Computer Vision Engineer and Backend Engineer positions. Code refactoring. Code optimization. Checking and testing new approaches for facial parsing algorithms. Making data acquisition process faster.

E

Data Scientist

Epam Poland

Jan 2022 - Oct 2022 (10 months)

Conducting technical interviews on Data Scientist, Machine Learning Engineer, Computer Vision Engineer positions. Collecting data for Object Detection and Tracking tasks for running at Jetson Nano device. Making Knowledge Transfer sessions with short explanation of modern approaches related to business problems. Providing presales materials. Team leading a project related to faster rendering. Making a lot of research about suitable approaches and datasets.

U

Machine Learning Engineer

Umojo, Inc

Sep 2021 - Dec 2021 (4 months)

Hired people on positions of Computer Vision Engineer, Speech Recognition Engineer, Chatbots Developer. Conducted technical interviews on the positions listed above. Collected data for training purposes on some rare use cases for object detection task. Made GAN pipeline for making synthetic data realistic.

S

ML Engineer

Sharper Shape

Apr 2021 - Jul 2021 (4 months)

Worked on data pipelines. Research on 3d rendering and Gans staff.

S

Computer Vision Engineer

Suricat Vision

Apr 2020 - Oct 2020 (7 months)

Dataset preparation for GAN training - data download, parsing and filtering. GAN models research.

D

Computer Vision Engineer

Dowell Everypixel

Mar 2020 - Jul 2020 (5 months)

Research and enhancement of current pipeline for face swap - working on making high resolution of face swap. Research of face detection and landmarks detection frameworks concerning their inference time on different servers.

M

Computer Vision Engineer

MaritimeAI.Net

May 2019 - Aug 2022 (3 years 4 months)

Implemented a sonar images generation pipeline with GANs - the use of synthetic dataset improved quality of object detection for 14%. Did research on underwater dehazing pipelines. Trained a multi-class segmentation baseline for ice ground segmentation. Worked on video superresolution baseline research. Explore and rum demos on baseline networks for 3d multi-view reconstruction.

A

Senior Data Scientist

Arni.io

Feb 2019 - Apr 2019 (3 months)

Trained several GAN models for response text generation in the Russian and English languages. Worked on optimization of inference time - current model in production works 2.5 times faster than the previous one. Made a model of paragraph sentence ratio with 80% AUC quality.

F

Freelance Machine Learning Engineer/Solution Architect

Oct 2018 - Current (8 years 1 month)

Developed a pipeline using the insightface library for face recognition tasks. Created a complete pipeline for generating 3D head models from a single image. Built a Deep Fake video database using various deep learning techniques to process downloaded and segmented YouTube videos. Researched and optimized lightweight neural networks and frameworks for age, race, and gender detection on ARM processors. Compiled a demo application for gaze detection. Assembled a dataset for the European traffic signs detection task, which was used for training detection and classification models. Provided clients with prompt engineering techniques to reduce costs. Optimized and refactored code for player tracking algorithms in a soccer analytics application.

L

Deep Learning Engineer

LLC Oxagile

Aug 2018 - Sep 2018 (2 months)

Training GANs for making synthetic datasets for face identification (standard models don't work because of camera distortion). Training face identification model on prepared data and implementing it to current framework. Training Object Detection model on satellite imagery. Improved quality of face identification model to 25%.

Data Scientist

Mapbox

Dec 2017 - Jul 2018 (8 months)

Did Domain Adaptation with GANs to provide data of various weather conditions for training models. It has helped to improve a quality of Detection and Instance Segmentation models up to 30% in night and rain weather conditions. Prepared data for training Classifier model of 200 classes (overmapped existed classes and got statistics of them). Trained models for Instance Segmentation task. Made internal tools to Data Science team for better obtaining data for training models. Kaggling a lot at free time (Data Science Bowl -Top14%, Camera Identification Challenge - Top39%, models for WAD CVPR Challenge (segmentation).

T

Game Developer, Sound Designer

TDI Group

May 2017 - Aug 2017 (4 months)

J

Economist

JSC Tut&Tam Logistics

Jul 2016 - Mar 2017 (9 months)

B

Co-Founder

BSEU Case Club

Jan 2014 - Jun 2016 (2 years 6 months)

Case championships, workshops organisation.

Olga Ivanova

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Olga Ivanova

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