Anton Abrarov

CTO

London, England, United Kingdom12 yrs experience

Most Likely To SwitchAI Enabled

Key Highlights

11+ years of programming experience in multiple languages.
Proven financial impact of £80M+ on EBITDA annually.
Expert in leading large tech teams and managing AI initiatives.

Stackforce AI infers this person is a Data Science and AI leader with extensive experience in government and industrial sectors.

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Skills

Core Skills

Ai & Data ScienceLeadershipMachine LearningData EngineeringBusiness Intelligence

Other Skills

AI ConsultingAgile MethodologiesAnalytical R&DArtificial Intelligence (AI)Big DataBusiness AnalysisCommunicationComputer VisionCreative Problem SolvingData AnalysisData ManagementData ScienceDeep LearningDriving ResultsDue Diligence

About

I am a business-oriented data leader with a degree in physics and a proven track record of delivering impactful, AI-driven solutions across various industries. • 11+ years of programming experience (Python, SQL, C, R). • 9+ years of applying machine learning (ML) and data science (DS) solutions across the entire data life cycle in deep tech, healthcare, and the public sector. • 7+ years of experience leading tech teams (40+ members), managing products, and executing large-scale projects. • Proven financial impact of £80M+ on EBITDA annually through innovative solutions and strategies. • Built AI business units from the ground up, managed hiring, and handled P&L responsibilities. • Skilled in effective communication with C-suite executives and production teams, ensuring alignment across all business levels. Actively participating in industry conferences and teaching and mentoring talents. Playing tennis and badminton. Producing electronic music.

Experience

Norilsk nickel

Head of AI & Machine Learning

May 2019 – Present · 6 yrs 10 mos · London, England, United Kingdom · Remote

Responsibilities:
Drive AI & Data Science stream company-wide, manage backlog and roadmap of 20+ initiatives throughout all machine learning life cycle across various facilities with £80M+ proven annual financial impact on EBITDA: 6+ projects working in production, 7+ pilots, 8+ R&D.
Established from scratch and manage a data team of 40+ people with a start-up spirit. Manage external relations with 10+ contractors. Report to the VP of Innovations (CEO-2). Hiring, team-leadership, management, mentoring, training.
Manage AI solutions IT infrastructure company-wide.
Build and lead company data science & advanced analytics strategy.
Research new AI business opportunities relevant to the company value chain. Develop ways of existing IP commercialisation. Act as AI expert in technical due diligence of start-ups for VC funds.
Popularise AI within the metals & mining industry, holding workshops and hackathons. Manage my team’s AI publications on the Habr blog (a Russian online platform for IT professionals with millions of monthly users).
Projects:
Cruise-control-like systems (APC) for simplifying management of technological process – grinding, flotation, etc.
Computer vision-based sensors as an additional source of data for technological process control (ore crushing and grinding, flotation froth, defects detection, etc.).
Virtual-based sensors for predicting the state of a process in the absence of other quality data sources.
Technologies:
Time Series Analysis, Multi-objective Optimization, Reinforcement Learning, Synthetic Data Generation (based on physics equations).
Deep Learning, Semantic Segmentation, Object Re-identification, Multiple Object Tracking, Quantization, Synthetic Data Generation (GAN, Diffusion Models), Data Labelling.

Artificial Intelligence (AI)Machine LearningData ScienceProject ManagementLeadershipData Engineering+1

The it department of moscow government

Head of Data Engineering & BI | Deputy CDO

Jun 2015 – Apr 2019 · 3 yrs 10 mos · Moscow, Russia · On-site

Responsibilities:
Led data engineering and data analysis work for top management (15+ people).
Dashboard creation, ETL process optimisation, machine learning models development.
Worked with terabytes of data daily.
Projects:
Created and managed the development of 5 web applications for 7M+ inhabitants surveys with tablets (including use cases with no internet connection) and a dashboard with real-time data analysis for the customer.
Coordinated ETL data aggregation project for content personalisation based on cookies (both web and mobile) with 10M input rows monthly and 14 different data sources.
Created a snow monitoring dashboard combining 7 separate data sources to decrease car and pedestrian accidents in the city. The dashboard served as a single source of information for all city authorities.
Implemented an AI (based on machine learning algorithms) recommendation system for medical centres, forecasting demand for general practitioners weekly.
Created a unified Moscow address dictionary with 200K addresses and integrated it into IT services.
Led high‑tech product concept development related to personal health record (with £0.4M investment).
Technologies:
ETL, Big Data, Business Intelligence, Geospatial Analytics, Time Series Analysis, Regular Expressions, Software Development, Solution Architecture.

Data EngineeringBusiness IntelligenceETLMachine LearningGeospatial Analytics

Mckinsey & company

Business Analyst

Jan 2014 – May 2015 · 1 yr 4 mos · Moscow, Russia · On-site

Worked on 10+ consulting projects with a focus on data collection, structuring, analysis and business modelling.
Managed a team of 12 colleagues for massive analytical research in a transportation project for Moscow agglomeration area.