Kudaibergen Abutalip Email & Phone Number

Nur-Sultan, KZ

Nur-Sultan, Kazakhstan

• Leadership & Development:
• Developed the teye-va library (C++, Lua) in a team of 3 engineers, a core video analytics (VA) module of the main product
• Contributed to full cycle ML models development (business understanding, data collection, quality, model training, inference optimization and further integration)
• Designed MLOps pipeline for automatic model retraining to decrease time to market substantially
• Designed and implemented ML inference pipelines and APIs for 4 modules: face recognition, license plate recognition, unattended object detection, and situational analytics. Conducted unit and end-to-end testing to.
• Researched and contributed to finetuning Pali-Gemma (Vision-Language Model) for large-scale dangerous situation detection via Visual Question-Answering

Abu Dhabi Emirate, United Arab Emirates

• Developed a novel uncertainty estimation method for image segmentation that achieves 55% and 23% improvement in correlation with expert disagreements at the image and pixel levels

Abu Dhabi Emirate, United Arab Emirates

• Developed a novel method for improving the generalizability of CNNs to stain changes (pathology) in semantic segmentation with an improvement of 19% in the Dice score on average. Validated results with 5 external test.
• Improved prediction performance of a tree-based ensemble model for air pollutant (PM2.5) estimation (51% increase in R2, 53% down in RMSE) by preprocessing and fusing a raw set of NASA satellite images and NCEP.
• Investigated feasibility of predicting genetic marker mutation from MRI scans by implementing custom CNN for fusing feature representations of two modalities (+0.12 AUC), and adapting existing network architectures
• Contributed to preparing papers (3 accepted) for submitting aforementioned results in different teams

Nur-Sultan, Kazakhstan

• Developed data cleaning and merging scripts for heterogeneous agricultural data from 14 main regions in the country. Identified how efficiently agribusinesses were using allocated government subsidies by clearly.
• Developed multi-factor simulation for sugar price fluctuations at region level by performing correlational analysis, extracting feature importances from Random Forest, and implementing inverse MLP model. A ministry.
• Adapted DELPHI model from MIT for local covid-19 predictions at city and town levels by modifying government response indicators and investigating relevant research papers
• Participated in preparing presentations to government officials in different teams for each project

Almaty, Kazakhstan

• Developed dynamic scripts for merging, database backup, and exception handling for OLAP cube

Almaty, Kazakhstan

• Selected among 118 candidates from 2000 applicants country-wide. Learned practical aspects of ML, Project Management, and Front-end development during the first month
• Implemented UI for Alpha Way with Vue, a web application for tracking employees’ progress (profile, tasks, skills, examination, and career development options). A bank acquired our team’s solution

• Designed and constructed different websites for local companies using HTML, CSS, JavaScript, Bootstrap, PHP, MySQL
• Helped businesses with advertising, and promotion using Google Ads

Master'S Degree, Computer Vision

Bachelor'S Degree, Mathematical And Computer Modelling