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Hi there šŸ‘‹

A data-centric technologist who's interested in optimizing llm-powered RAG systems, building multi-agentic intelligence applications, analyzing products with data. Currently seeking for employment opportunity in the field of Artificial Intelligence.


šŸ¤ Iā€™m looking to collaborate on Machine Learning and Deep Learning projects

šŸ“© Reach me via: [email protected]

šŸ“‘ Check out My Resume: My Resume


Tech Stack šŸ’»

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Library & Frameworks:

Databases:


Pham Kinh Quoc's GitHub stats

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Pham Kinh Quoc's Projects

adaptive-rag-matryoshka icon adaptive-rag-matryoshka

An end-to-end project to design an intelligence system powered by Meta's llama3, that helps users answer finance-related questions.

dive-into-dl icon dive-into-dl

This repository contains my solutions to the exercises and implementations of models from the book "Dive Into Deep Learning", authored by Aston Zhang, Zachary C. Lipton, Mu Li, and Alexander J. Smola. The solutions provided here are aimed at helping learners understand and implement concepts discussed in the book.

gpt2-remake icon gpt2-remake

A remade version of openai's gpt2 model in Pytorch and huggingface *transformers. The whole implementation is completed with tutorials of Andrej Karpathy.

middle-finger-detection icon middle-finger-detection

Using mediapipe from Google to create a middle finger detection, which can be used in online learning commons.

multi-agents-validator icon multi-agents-validator

In today's digital landscape, misinformation can spread rapidly, making it crucial to validate online sources. This repository aims to empower users with an AI Agents-powered tool to assess the trustworthiness of information found on the web.

rag-best-strategy icon rag-best-strategy

Inspired by the paper: "Searching for Best Practices in Retrieval-Augmented Generation" by Wang et al. This repository is dedicated to search for the best RAG strategy.

textgrad-dspy-evaluation icon textgrad-dspy-evaluation

Used DsPY and TextGrad to optimize prompts on GPQA Evaluation Benchmark. Tested on GPT-3.5, gemini- pro and Llama-3.

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