Sumet Sae-yi

• Skilled at working independently and collaboratively in a team environment.
• Provided professional services and support in a dynamic work environment.
• Gained extensive knowledge in data entry, analysis and reporting.
• Self-motivated, with a strong sense of personal responsibility.
• Bronze medal in super AI engineer SS4

• Placed 18th individually out of 156 participants (top ~12%) and was one of only 36 competitors to pass the final evaluation in the Kaggle “Signal Processing: Sleep Stages Classification” competition—demonstrating strong expertise in EEG signal preprocessing, feature engineering, and multiclass model tuning
• Adaptable and proficient in learning new concepts quickly and efficiently.
• Proven ability to learn quickly and adapt to new situations.

• Analyzed problems and worked with teams to develop solutions.
• Sorted and organized files, spreadsheets, and reports.
• Prepared project presentations and reports to assist senior staff.
• Participated in workshops and presentations related to projects to gain knowledge.
• Gathered, organized and input information
• Engineered a prototype voice-cloning pipeline using open-source TTS models and curated speech corpora
• LLM-Based Phone-Call Scam Detection Experience

-Integrated ASR Transcription

-Fine-Tuned LLM for Scam Classification

-Feature-Augmented Embeddings

• Contributed as a core team member in the AI Cooking Challenge from 17 Apr–16 Jun 2024 and 17–25 Jun 2024 (finals), collaborating on prompt design and model testing

• .Chosen among 28 standout teams to pitch a novel “APIs as Products” concept at Thailand’s innovation expo.
• Deployed the prototype on a serverless infrastructure, slashing setup time by 40 % and demonstrating production readiness.
• Led usability sessions, iterated on feedback, and delivered a polished presentation that attracted interest from two pilot partners.