Phrugsa Limbunlom (Gift)

Data Scientist

https://talent.gravityer.com/phrugsa-limbunlom-gift

MSc. in AI - UofEssex

United Kingdom

Key Strengths

Demonstrated interest and practical experience in AI/ML, particularly in areas like LLMs, VLMs, RAG, and generative modeling through personal projects.
Experience with Python, a core language for Data Science.
Projects like 'SeGAN' (sentiment analysis and stock price prediction) directly align with data science applications.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio indicates a strong self-starter mentality and a passion for exploring cutting-edge AI/ML technologies. The diversity of personal projects, from AI shopping assistants to research agents and generative models, suggests a proactive and curious individual who is likely to adapt well to innovative environments. The focus on personal projects, however, means there is no data on team collaboration or professional work ethic.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.

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Assessing your cultural and operational fit

Projects

generative-modelling

April 12, 2026 – Present

generative-modelling — GitHub repository

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ai-teacher

December 11, 2025 – Present

AI Avatar (ElevenLabs Worldwide Hackathon 2025)

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ai-teacher

December 11, 2025 – December 11, 2025

ai-teacher — GitHub repository

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phrugsa-limbunlom

August 13, 2025 – Present

phrugsa-limbunlom — GitHub repository

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llm-ptq

July 31, 2025 – August 13, 2025

8-Bit Post-Training Quantization for LLMs

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vlm-lora

July 18, 2025 – August 9, 2025

LoRA from scratch for VLM fine tuning

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vlm-grpo

July 17, 2025 – October 28, 2025

Post-training VLMs with GRPO from TRL library

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SEAD-Agent

May 23, 2025 – Present

RAG-based AI research assistant with contextual Q&A ability and tools invocation

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PickSmart

December 14, 2024 – Present

PickSmart AI-powered shopping assistant platform for personalized product recommendations implemented by Groq API, Tavily, Langchain, and Langgraph

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SeGAN

September 4, 2024 – September 9, 2025

The project leverages the integration of sentiment analysis from the FINBERT and RNN-based GAN models to predict Microsoft stock prices. (Dissertation 2024).

View Project

Key Strengths

Demonstrated interest and practical experience in AI/ML, particularly in areas like LLMs, VLMs, RAG, and generative modeling through personal projects.
Experience with Python, a core language for Data Science.
Projects like 'SeGAN' (sentiment analysis and stock price prediction) directly align with data science applications.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.

Phrugsa Limbunlom (Gift)

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit