Intizar Tashov

Reading List

Education

Experience

High Entropy Informatics

  • Software Engineer Oct 2024 - Sep 2025 (1 yr)
  • Location: London, United Kingdom
  • Work Type: Full-time | Remote
  • Migrated backend infrastructure from AWS EC2 to ECS with blue/green deployment; refactored CI/CD pipeline to reduce deployment time by 70% (from >10 minutes to <3 minutes) with near-zero downtime.
  • Refactored monolithic batch processing into microservices and serverless architecture (Lambda, Fargate), cutting infrastructure costs by ~$1,000/year and improving modularity.
  • Migrated map data storage and clustering from mobile to backend using PostGIS and sharded Redis with dynamic TTL, reducing app memory usage by 60% and CPU by 80% during map interactions.
  • Led end-to-end integration of Tesla telemetry (infra, APIs, DB schema, and forked Tesla modules), a critical feature enabling product expansion into the US & Canada.
  • Tech Stack: Python, AWS CDK, PostgreSQL, GitHub Actions, Grafana as Code, Prometheus, SQLAlchemy

Bisonai

  • Software Engineer May 2023 - Oct 2024 (1 yr, 5 mo)
  • Location: Seoul, South Korea
  • Work Type: Full-time | Hybrid
  • Developed Orakl, the oracle for Kaia blockchain (Klaytn & Finschia merger, subsidiaries of Kakao & Line, 250M+ active users). Secured $140,000 and a $350,000 grants from the Kaia Foundation through investor presentations.
  • Scaled Orakl data feeds from 30 to 100+ token price pairs with subsecond latency; optimized block processing (50 events) from 4+ minutes to 3 seconds via a highly concurrent custom nonce manager.
  • Developed Logscribe, a Go-based service to process and prioritize massive server logs, automating weekly GitHub issue creation; generalized it into an internal package adopted by multiple teams, enhancing company-wide operational efficiency.
  • Tech Stack: Go, Node.js, Solidity, Python, PostgreSQL, BigQuery, Docker, Kubernetes, Github Actions.

AI-NOMIS

  • Software Engineer Jun 2022 - May 2023 (1 yr)
  • Location: Seoul, South Korea
  • Work Type: Full-time | Remote
  • Designed and implemented AI Builder (MVP), including business logic, databases, backend, frontend, and infrastructure, contributing to successful seed funding.
  • Deployed 20+ open-source ML models on Google Cloud Kubernetes, integrating them into the core product backend and frontend for enhanced functionality.
  • Built internal tools (e.g., image scraper, TFJS-Keras model converter) on AWS, improving team efficiency.
  • Tech Stack: JavaScript (Node, React), TypeScript, Python (Flask), GCP, AWS, CI/CD

Contributions

Xmobile

Website | Github | Contributions

Awards

2025      UK Global Talent Visa recipient (Tech Nation Endorsed)
2022      Full Scholarship to the University of Chicago, PhD program (dropped out)
2021      Engineering Innovator Award winner among KAIST undergrads
2018      Full Scholarship to KAIST
2017      Bronze Medal in 49th International Chemistry Olympiad (IChO), Kingdom of Thailand
2017      Silver Medal in National Chemistry Olympiad, Turkmenistan
2016      Bronze Medal in 48th International Chemistry Olympiad (IChO), Georgia
2016      Gold Medal in National Chemistry Olympiad, Turkmenistan

Skills

Programming
Go, Python, JavaScript, TypeScript, C++, Solidity
Frameworks/Tools
Node.js, React, Next.js, Flask, Django, Docker
Databases/ORM
PostgreSQL, MySQL, Redis, BigQuery, Prisma, SQLAlchemy
Cloud/CI/CD
AWS, GCP, Kubernetes, GitHub Actions, Git, IaC (AWS CDK)
Working knowledge of
C++, Java (Kotlin), Rust