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Open for Internship 2026
CHANITNAN KITNANTAKHUN
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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.
LAB RESEARCH & 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.
CORE STACK
The tools of my trade
Languages
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
2026
PRAGMA 41 Hackathon
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.
CERTIFICATIONS
Ongoing Learning
2026 – Present
AWS Academy
Cloud Developing · In Progress
- •Studying AWS Cloud Developing track covering S3, DynamoDB, Lambda, and API Gateway for serverless and cloud-native architectures.
- •Supplementary DataCamp certifications: Supervised Learning (scikit-learn), FastAPI, NumPy, and pandas data engineering.
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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