About
I am a responsible and disciplined individual, driven to pursuit my interest through constant self-education and self-improvement, who is able to effectively communicate (including public speaking) and collaborate within a team.
My passion lies in tackling obstacles through active collaboration within a group of talented and aspiring minds. I thrive in a fast-paced environment and driven to continuously grow through self-education and networking.
Basic Information
Email:
albert.mukhametov@checkout.com
Languages:
English (Bilingual Proficiency), Russian (Native or Bilingual Proficiency), Mandarin (Elementary Proficiency)
Professional Skills
C#/.NET
Excellent
Redis
Excellent
JAVA
Excellent
MongoDB
Excellent
PYTHON
Excellent
Algorithms & Data Structures
Excellent
AWS
Excellent
Microsoft Azure
Intermediate
MySQL & PostgreSQL
Excellent
TeamCity
Intermediate
HASKELL
Intermediate
Django
Intermediate
C
Intermediate
Git
Intermediate
Work Experience
September 2022 - Present
Checkout.com
Software Engineer (Back-end)
- Engineered distributed and highly available backend applications in C#/.NET, leveraging key AWS services (EC2, ECS, ECR, Kinesis, Lambda, SNS, SQS, OpenSearch) to establish a robust infrastructure supporting core low-latency and high-throughput systems
- Designed and implemented performance-enhancing attributes, empowering merchants to optimize acceptance rates while minimizing fraudulent transactions. A pivotal contribution included the development of metadata velocities, which facilitated fine-tuning risk strategies to align with merchant requirements
- Lead the development of real-time, low-latency features integral to the fraud detection ML model. These features have played a key role in identifying and preventing rapid fraud attacks on high transaction volume merchants - with a recall increase of 5.9% at 20% precision
- Successfully reduced P99 by 30ms for the ML feature lookup service by both optimizing the Redis velocity data model and feature lookup algorithm by reducing the number of queried documents
- Orchestrated the implementation of end-to-end audit logging for dynamic changes to merchant risk strategies. This initiative not only ensures transparency for both merchants and Checkout.com's risk management teams but also led to a notable reduction in related support tickets, streamlining operational efficiency
June 2021 - September 2021
University College London
NLP & Data Mining Research Intern
- Leveraged Latent Dirichlet Allocation (LDA) & Support Vector Machine (SVM) algorithms to classify 200,000+ publications and 300,000+ researchers across the institution
- Established reliable data mining engine and data processing infrastructure, deployed on Microsoft Azure
- Delivered usable front-end using Django framework for data visualization (t-SNE clustering, Intertopic Distance Map, Bubble chart), analysis & validation
- The tool is used by researchers for annual mapping of ongoing Sustainable Development Goals activity, as well as author extraction for inter-disciplinary and cross-departmental collaboration evaluation
May 2020 - Present
Lodus Labs
Co-Founder
- Performed cross-platform data scraping of the video-game industry
- Worked with Microsoft Azure Functions & SQL Server to establish a reliable back-end structure for data storage and analysis
- Gathered current & historic video-game statistics through time-triggered web-scrapers using Digital Oceans' Droplet cronjobs, and developer data through RAWG databases using their respective APIs
- Currently in commercial partnership with Amazon's subsidiary - IGDB
May 2020 - June 2020
JP Morgan Chase & Co Virtual Experience
Apprenticeship
- Visualized and analyzed data from Perspective - JPMorgan Chase's own open-sourced software using JavaScript and TypeScript
- Implemented dynamic real-time charts to provide unique insights and facilitate the trader’s requested changes
Oct 2018 - Nov 2018
Baku Higher Oil School (University)
Robotics Process Automation Intern
- Collaborated with Undergraduate and Postgraduate students in the Process Automation Engineering Department to develop viable automation of a daily task
- The final robotics product was tested against pre-set criteria for success evaluation
- It pitched to and approved by the Head of the Department
Nov 2017 - Feb 2018
Yelo Bank (former Nikoil Bank)
Software Engineer Intern
- Worked at the SWE department fo the bank in a team of six developers
- Designed the national (Azerbaijani) credit registry of the Nikoil Bank under the supervision of the senior developer
- Practiced debugging skills through fixation of the Java implementation of the monitoring system for the ATM's across the capital city of Baku
Education
2019 - 2022
BSc Computer Science
University College London (UCL)
London, United Kingdom
Grade Achieved: 1st Class
Third-Year Modules
- Computability and Complexity Theory
- Artificial Intelligence and Neural Computing
- Machine Learning for Visual Computing
- Networking Systems
- Internet of Things
- Computer Graphics (ray tracing, rasterisation, path tracing)
- Individual Project for BSc (Dissertation topic: Vocabulary Normalization in Concept Location)
Second-Year Modules:
- Software Engineering (Extended JSH - Java Shell)
- Systems Engineering (Client project - NLP Data Mining & Scraping Engine, Django search engine web application)
- Computer Architecture & Concurrency (MIPS assembly, Java Concurrency)
- Logic & Database Theory (propositional formula parser/prover in C)
- Security
- Mathematics & Statistics
First-Year Modules
- Compilers (Designed a compiler using JFlex and CUP)
- Algorithms (Developed stereo-matching algorithm using dynamic programming)
- Engineering Challeges (Built Single-cycle Processor and Scaled-Down Control System for a Bioreactor)
- Design & Professional Skills (Automated Tetris using 6 heuristics to choose an optimal game path outcomes)
- Theory of Computation
- Principles of Programming (Java & Haskell fundamentals)
- Object Oriented Programming (Java OOP concepts)
2012 - 2019
International Baccalaureate Diploma Programme
The International School of Azerbaijan
Baku, Azerbaijan
Grade Achieved: 40/45 (top 3.6%)
Subjects Taken:
- Mathematics Higher Level
- Economics Higher Level
- Psychology Higher Level
- English Language & Literature
- Russian Literature
- Biology
June 2018 - July 2018
Cambridge Immerse
Computer Science Summer School Programme
Cambridge, United Kingdom
- The final project involved designing a game using PyGame Python library
- Designed and pitched an interactive game with multiple difficulty levels and design choices
June 2017 - July 2017
Oxford Royale
Computer Science Summer School Programme
Oxford, United Kingdom
- The project involved replicated Banking System replication in Java
- Developed a website for presenting the final project
Contact Me
albert.mukhametov@checkout.comk