Ilgiz SatkynovSoftware engineerBay Area, CA

Ilgiz Satkynov

Software engineer · Bay Area, CA

Mathematics & Computer Science student at De Anza College with experience across backend services, cloud infrastructure, mobile development, and applied AI.

Education

  • De Anza College

    Expected May 2027

    Mathematics & Computer Science studies · Cupertino, CA

    Relevant coursework: Data Structures, Algorithms, Database Management Systems, Computer Networks, Information Security, Cloud Security, Discrete Mathematics, Advanced C++

Technical skills

Languages
Python, C++, C#, Java, JavaScript, TypeScript, SQL, HTML/CSS
Frameworks & libraries
React, React Native, Expo, Next.js, .NET, FastAPI, Django, NumPy, Pandas, PyTorch, XGBoost, LlamaIndex
Cloud, infrastructure & databases
Google Cloud, Azure, Terraform, Docker, Kubernetes, GKE, GitHub Actions, PostgreSQL, MongoDB, Supabase

Experience

  • xAI — AI Tutor (Grok)

    September 2026 – Present

    Contract

    • Develop Kyrgyz-language prompts and evaluate Grok responses for accuracy, fluency, and cultural understanding.
    • Provide linguistic feedback to refine response quality and handling of Kyrgyz-language context.
  • WilderGo — iOS Software Engineer

    August 2026 – Present

    Contract · Remote

    • Develop core React Native features and improve the codebase for an outdoor community and safety platform.
    • Resolve Xcode build errors, CocoaPods issues, Metro bundler conflicts, and Expo Router race conditions.
    • Support application stability and the Apple App Store submission process.
  • Microsoft — Software Engineer Intern

    April 2026 – August 2026

    Redmond, WA · On-site

    • Developed RESTful API endpoints for an internal Azure resource-management service using C#/.NET, delivering features and resolving bugs.
    • Built a real-time microservice for streaming telemetry and anomaly detection.
    • Created observability dashboards and automated CI/CD load-testing tools to monitor reliability and performance.
  • Part-time · Cupertino, CA · On-site

    • Teach and tutor 25–30+ students in Python, debugging, problem-solving, and core programming concepts.
    • Guide students through coding assignments and exercises during class, office hours, and one-on-one support.
  • Google — Cloud Infrastructure Intern

    November 2025 – February 2026

    Remote

    • Automated Google Cloud infrastructure with Terraform and containerized microservices with Docker for deployment to GKE.
    • Configured networking, firewall rules, autoscaling, monitoring, and logging for reliable, scalable workloads.
  • Remote

    • Built Python workflows for document classification and data extraction using NLP, computer vision, PyMuPDF, and OCR.
    • Developed a LlamaIndex retrieval-augmented generation (RAG) system for searching mortgage documents and evaluated open-source AI models.
    • Compiled a technical report comparing document-processing models, implementation challenges, optimization approaches, and deployment considerations.
  • Bishkek, Kyrgyzstan · Hybrid

    • Built web applications using JavaScript and React.
    • Contributed to a client website for KyrgyzAeroNavigatsia and received an official commendation for the work.

Projects

  • React, TypeScript, Three.js, React Three Fiber

    • Build an interactive science-learning workspace covering chemistry, biology, physics, mathematics, and anatomy.
    • Combine interactive 3D models, labs, and calculators with searchable, sourced explanations.
  • Next.js, TypeScript

    • Build a question-and-discussion frontend with topic discovery, search, answers, and related questions.
    • Implement a browser-local demo data layer with persistent state and input validation; no backend or real accounts yet.

All projects

Research & writing

  • Auditing the Objective

    Co-authored technical report

    A multi-objective framework and audit protocol examining engagement, content quality, and outrage in recommendation systems.

    Authors: Ilgiz Satkynov, Baian Abdyrasulova, Ivan Krutchenko

  • Connects calibration, bias–variance trade-offs, sampling theory, and fairness with published case studies.

    Author: Ilgiz Satkynov