cv

Basics

Name Aleksandr Kim
Label Staff AI Engineer
Email aleksandr.v.kim@gmail.com
Linkedin linkedin.com/in/aleksandrkim/
Url alexkimds.github.io
Summary Staff-level AI engineer with 9 years of experience applying AI/ML to improve operational, product, and business metrics across fintech, retail, and enterprise environments. Built production AI systems and automation platforms that support decision-making, reduce manual effort, and scale business operations across international organisations. Strong background in hands-on technical execution, cross-functional leadership, and innovative AI/ML solutions, including 15+ patented systems and methods.

Work

  • 2024.09 - Present

    London, UK

    Senior AI Engineer
    Intuit Inc. (Global Financial Software Company)
    • Architected a production LLM-based agentic insights system for real-time executive reporting, using structured chain-of-thought outputs and saving 30+ hrs/week at leadership level
    • Implemented in-product recommendation systems for EMEA, delivering uplift in service adoption (+8pp) and cross-sell improvement (+12pp LTV impact)
    • Designed a cost-efficient ML-based evaluation framework for LLM outputs, reducing inference spend by 33% vs. LLM-as-a-judge baselines while improving reliability
    • Inventor on 15+ patents in machine learning and applied AI
  • 2022.07 - 2024.08

    Tel Aviv, Israel

    Senior AI Engineer
    Intuit Inc. (Global Financial Software Company)
    • Optimized large-scale ML-driven data aggregation systems, reducing customer-facing data errors by 40%
    • Founded and led a 70+ member Data Science Guild, standardising ML best practices and experimentation frameworks across the organization
    • Redesigned experimentation methodology for non-IID and non-normal data, increasing reliability of complex AB test results across product teams
  • 2021.10 - 2022.06

    Moscow, Russia

    Data Science Team Lead (2 Teams)
    X5 Retail Group (Top Russian Retailer, about 20k stores)
    • Led development and production deployment of a promo optimization system forecasting 100K+ time series daily, supporting revenue decision-making across the whole retail network
    • Hired and built my own team while also supporting the hiring of DS, DE and DQ specialists for other teams
    • Organized data quality monitoring for Hive data bases
  • 2019.03 - 2021.09

    Moscow, Russia

    Data Scientist
    Kaspersky (International Cyber Security company)
    • Developed and deployed BERT-based model for customers support automation (20% reduce of support costs)
    • Analyzed user's behavior data, generated hypotheses and conducted AB tests to verify them (customers' Retention Rate increase)
    • Developed and deployed language identification model for customer's support (SLA increase + automation)
  • 2018.06 - 2019.03

    Moscow, Russia

    Data Scientist
    Raiffeisen Bank (Austrian Bank)
    • Improved local compliance scoring system (significant revenue growth)
    • Developed model for customer identification (employees' workload optimization)
  • 2017.04 - 2018.04

    Moscow, Russia

    Data Analyst
    Digital Diesel Ltd. (Diesel Engine Products and Services)
    • Analyzed supplier market data and built forecasting models to improve pricing decisions

Education

  • 2016.09 - 2018.06

    Moscow, Russia

    Master's Degree
    Moscow Institute of Physics and Technology (Leading Russian University in STEM)
    Applied Mathematics and Physics
    Thesis: Distributed Support Vector Machines with Privileged Information
  • 2012.09 - 2016.06

    Moscow, Russia

    Bachelor's Degree
    Moscow Institute of Physics and Technology (Leading Russian University in STEM)
    Applied Mathematics and Physics
    Thesis: Research of Quadratic Mappings. Building a Border of Image Set of Non Convex Functions

Skills

AI & ML
LLMs & Agents
NLP
Uplift modeling
Ranking & Matching
TS Forecasting
Tools
Python
Scikit-learn
Langfuse
PyTorch
Transformers
Pandas
Numpy
ML Engineering
Airflow
MLflow
Docker
Kubernetes
Code & Data versioning (Git, DVC)
CI/CD
Flask
FastAPI
Data
PySpark
Hadoop
SQL
Parsing (Scrapy, Selenium, Beautiful Soup)
Soft Skills
People & Project Management
Negotiation & Presentation skills
Cross-functional Collaboration
Mentoring

Languages

English
Fluent
Russian
Native
Hebrew
Basic
German
Basic

Projects

  • 2023
    RAG project with a Telegram Bot UI
    Built an end-to-end retrieval-augmented generation system with a Telegram Bot UI.
    • LLM, RAG, Docker, MLFlow, Postgres, DVC etc.
  • 2018 - 2019
    Freelance project for an energy supplying company
    Built an overdue payments prediction model.
    • XGBoost, EDA, tabular data, consulting, delivery
  • 2018
    Hackathon ”Human Capital Convention”
    Best market fit award for employee - job description matching model.
    • Hackathon, Matching, NLP

Interests

Cooking
Freediving
Travelling
Hiking