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CHANITNAN KITNANTAKHUN
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
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.
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
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.
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_newCERTIFICATIONS
Ongoing Learning
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.
GET IN TOUCH
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