Ilyas Ibragimov

_

6+ years building platform infrastructure and trading systems in financial technology. LLM-native engineer — multiple AI-powered tools in production using Claude and Vertex AI. At Two Sigma, backend engineer on firm-wide cost and metrics systems. Previously built Python portfolio analytics, optimized C++ trading systems, and integrated exchange connections at a quantitative hedge fund.

Python SQL C++ dbt BigQuery GCP Docker Claude
6+ Years in Financial Tech
MEng UCL · First Class Honors
$1MM+ Annual Savings Delivered
$80MM+ Platform Spend Managed
15+ TB Data Processed Daily

// Experience

Two Sigma

Senior Software Developer · via Randstad Digital
Nov 2022 — Present New York, NY
  • Sole backend engineer on a firm-wide cost transparency platform: Python, dbt, and BigQuery processing 15+ TB daily across 8+ data sources and $80MM+ in annual spend.
  • Led migration from Apptio to Python/dbt/BigQuery, delivering $1MM+ in annual savings and 65% faster processing. Co-authored the firm's dbt best practices guide and drove adoption across multiple teams.
  • Built LLM-powered tools using Claude and Vertex AI: department reorganization detection, automated incident response with AI root-cause analysis, and a PowerPoint generation framework for Claude Code.
  • Decomposed an inherited legacy monolith into 5 loosely coupled pipelines with dedicated CI/CD, automated testing, and schema drift auto-recovery.
  • Built a firm-wide metrics platform ingesting hundreds of KPIs from multiple teams for executive dashboards and team-level tracking.

Blueshift Asset Management

Software Developer
Jan 2020 — Nov 2022 Red Bank, NJ
  • Built a real-time portfolio monitoring platform with terminal-based GUI, automated investor reporting, and historical performance tracking. Reduced analysis time by 65% and supported $500M+ in managed assets.
  • Optimized the fund's proprietary C++ trading platform, reducing storage by tens of terabytes and production server load by 40%.
  • Integrated with multiple equity and crypto exchanges and built Python/Selenium data scrapers feeding alternative data research: social media signals, transcribed investor calls, and market sentiment analysis.
  • Designed a real-time compliance monitoring system automatically flagging banned tickers and improper trade amounts before execution, preventing regulatory violations.

Fidessa

Platform Development Intern
Jul 2018 — Sep 2018 Woking, UK
  • Built a secure file transmission platform in Java and JavaScript that eliminated recurring data breaches affecting 200+ clients, replacing vulnerable manual processes.

// Projects

ilyasi.com

Personal Portfolio · 2026

Portfolio site with canvas particle simulation, interactive terminal emulator, theme engine, and automated Playwright tests. You're looking at it.

Vanilla JSCanvas APIPlaywrightCI/CD

Network Packet Routing with Deep RL

MEng Thesis · UCL · First Class Honors · 2019

Developed deep reinforcement learning models for optimal packet routing in software-defined networks using Python, OpenAI Gym, and TensorFlow.

PythonTensorFlowOpenAI GymDeep RL

Deep Learning for Cryptocurrency Trading

BEng Thesis · UCL · First Class Honors · 2018

Built and refined LSTM networks for cryptocurrency return prediction using Python/Keras with extensive feature engineering and data mining.

PythonKerasLSTMsData Mining

// Skills

Languages

PythonSQLC++BashJavaScript

Data & Analytics

dbtBigQueryPostgreSQLDimensional ModelingELT Pipelines

Cloud & Infra

GCPAWSDockerGitHub ActionsLinux

AI / LLM

Claude CodeClaude APIMCP ServersAgentic WorkflowsTest-Driven LLM Dev

Tools & Platforms

GitGitHubDatadogJiraSlackREST APIs

Frameworks

FlaskDjangoPlaywrightSelenium

// Education

University College London (UCL)

2019

Master of Engineering (Electronic & Electrical), First Class Honors (4.0 GPA Equivalent)

Baruch College MFE Program

2020

C++ Programming for Financial Engineering Certificate, Distinction

Brooklyn Technical High School

2015

Mathematics Major · Math Team · 4.0 GPA