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Open for Internship 2026
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CSTU Spark Camp Best Creative and Engaging Pitch Award

CHANITNAN KITNANTAKHUN

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ENGINEERING PHILOSOPHY

Building from first principles. I believe that a deep understanding of system internals is the only way to build truly reliable software.

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SOCIAL / CONNECT

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ABOUT

The Core

I'm fascinated by what happens in the gap between high-level abstractions and raw hardware. My approach is simple: understand the internals before using the tool.

I focus on the architecture of performance and reliability—whether it's manual memory management, I/O multiplexing, or ensuring data durability in distributed environments. I don't just write code; I design systems that are predictable, fault-tolerant, and built to scale from the ground up.

EXPERIENCE & CORE STACK

Additional Info

2025 – Present

Tonkit Lab · TU

Undergraduate Research Assistant

  • Conduct applied research at Tonkit Lab, Thammasat University, bridging systems programming and real-world research tooling.
  • Collaborate on software infrastructure for research workflows, applying backend engineering principles to data-intensive pipelines.
2026

Botnoi Trainee

DevOps Engineer · WORK FROM HOME

  • Built and maintained a containerized observability stack with Docker Compose, Prometheus, Loki, Tempo, Grafana, and Grafana Alloy for metrics, logs, traces, and dashboards.
  • Developed a Costmap FinOps proof of concept using FastAPI, DuckDB, LocalStack S3, and CUR/FOCUS billing data to connect cloud cost with CPU and memory utilization.
  • Configured repeatable environment setup with deployment scripts, service health checks, persistent volumes, and Grafana dashboard provisioning.

CORE STACK

The tools of my trade

Languages

Python
Python
Java
Java
TypeScript
TypeScript
JavaScript
JavaScript
HTML5
HTML5
CSS
CSS
C
C
C++
C++
MY WORK FLOW
Whiteboarding the system design, selecting the right databases, and defining strict API contracts before writing a single line of code. Measure twice, cut once to prevent cascading technical debt.
Writing clean, type-safe code with robust error handling. Implementing core business logic prioritizing readability, modularity, and O(1) computational efficiency where critical.
Developing exhaustive unit, integration, and end-to-end test suites. Simulating race conditions and load testing to ensure absolute reliability and integrity under highly concurrent usage.
Containerizing the application with Docker and orchestrating automated CI/CD pipelines. Ensuring zero-downtime rollouts and establishing continuous monitoring and alerting systems.

COMPETITIONS & AWARDS

Recognitions

3rd Place

AI-Assisted Academic Workflow

  • Built an AI-assisted academic portal for TQF3 drafting, CLO generation, curriculum mapping, and document export.
  • Designed a human-in-the-loop workflow that validates generated drafts against authoritative curriculum data before approval.
  • Placed 3rd and received the Best Creative and Engaging Pitch Award.
2026

ICPC Thailand National Round Qualifier

Qualified for National Round

Central & Western Regional Qualifier

  • Ranked 18th out of 52 university teams in the regional qualifier hosted by Chulalongkorn University.
  • Advanced to the ICPC Thailand National Round.
  • Applied algorithm design, data structures, and collaborative problem solving under contest time constraints.

Excellent Teamwork Award

SEAIP Collaborative Action

  • Built an AI-powered clinical decision support system for ICU Sepsis management — combining real-time patient data inference with a clear, actionable alert interface.
  • Recognized for cross-functional collaboration and system cohesion under 24-hour delivery pressure.

Participated · Level 1

Participated in Super AI Engineer Season 6 and submitted the Level 1 challenge solutions.

codeView Submitted Codeopen_in_new

CERTIFICATIONS

Ongoing Learning

2025 – 2026

DataCamp

22 Total Hours

Data Science, Backend & Tools

  • Total Learning Effort: Completed 22+ hours of professional technical coursework between October 2025 and January 2026.
  • Backend Development: Gained proficiency in building high-performance APIs using FastAPI.
  • Data Science & Engineering Stack:
    • -Mastered high-dimensional array processing with NumPy.
    • -Specialized in advanced data manipulation and relational data joining using pandas.
    • -Implemented predictive modeling through Supervised Learning with scikit-learn.
  • Version Control: Achieved Intermediate Git proficiency, focusing on advanced repository management and collaborative workflows.

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Open for Internship 2026

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