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H
Huy Pham

Huy Pham

AI-assisted Data Processing & LLM Integration (Nexxt Ideas)

Vietnam flagHanoi, Vietnam
$35.00/hrExpertOther

Key Skills

Software

Other

Top Subject Matter

AI-driven data processing
document summarization
and QA

Top Data Types

TextText
DocumentDocument

Top Task Types

Text GenerationText Generation
Prompt + Response Writing (SFT)Prompt + Response Writing (SFT)

Freelancer Overview

AI-assisted Data Processing & LLM Integration (Nexxt Ideas). Brings 11+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Internal, Proprietary Tooling, and Other. Education includes Bachelor of Science, Ho Chi Minh City University of Technology (2015). AI-training focus includes data types such as Text and labeling workflows including Text Generation and Prompt + Response Writing (SFT).

ExpertEnglish

Labeling Experience

AI-assisted Data Processing & LLM Integration (Nexxt Ideas)

TextText Generation
Developed and deployed AI-assisted data processing tools using OpenAI GPT models, incorporating embeddings, text summarization, and Retrieval-Augmented Generation (RAG) workflows. Closely collaborated with AI/ML teams to integrate and evaluate new model capabilities for production. Oversaw the design and integration of multiple AI data processing features in full-stack systems. • Built workflows implementing text embeddings and summarization for downstream AI tasks. • Integrated Retrieval-Augmented Generation for question answering and document-based inference. • Tuned prompt and response workflows to improve AI output reliability. • Contributed to data curation and feedback loop for AI training.

Developed and deployed AI-assisted data processing tools using OpenAI GPT models, incorporating embeddings, text summarization, and Retrieval-Augmented Generation (RAG) workflows. Closely collaborated with AI/ML teams to integrate and evaluate new model capabilities for production. Oversaw the design and integration of multiple AI data processing features in full-stack systems. • Built workflows implementing text embeddings and summarization for downstream AI tasks. • Integrated Retrieval-Augmented Generation for question answering and document-based inference. • Tuned prompt and response workflows to improve AI output reliability. • Contributed to data curation and feedback loop for AI training.

2022 - 2025

LLM Integration & Automated Text Processing (Devot)

TextText Generation
Integrated LLM-based features such as automated documentation, text extraction, and classification using early GPT APIs. Developed and tested data ingestion workflows and text embeddings pipelines. Participated in proof-of-concept development for internal AI prototypes. • Built AI-backed automated data extraction and classification services. • Created pipelines for text embedding and search functionality. • Annotated and curated data sets for LLM integration and testing. • Assisted in evaluation and feedback cycles for model improvements.

Integrated LLM-based features such as automated documentation, text extraction, and classification using early GPT APIs. Developed and tested data ingestion workflows and text embeddings pipelines. Participated in proof-of-concept development for internal AI prototypes. • Built AI-backed automated data extraction and classification services. • Created pipelines for text embedding and search functionality. • Annotated and curated data sets for LLM integration and testing. • Assisted in evaluation and feedback cycles for model improvements.

2018 - 2022

RAG Pipeline & Langchain Agent (AdaletGPT Project)

OtherTextPrompt Response Writing SFT
Developed RAG pipeline for regulatory/legal data retrieval using Langchain and OpenAI embeddings. Implemented multiquery, memory, and auto-indexing functionality to improve AI accuracy. Deployed agent workflow that selects retrieval tools based on user question context. • Created separate vectorstore indexes for regulations and legal cases. • Engineered Langchain agent for tool selection via prompt cues. • Automated content retrieval pipelines and performance monitoring. • Designed test cases and evaluated workflow alignment with intended output.

Developed RAG pipeline for regulatory/legal data retrieval using Langchain and OpenAI embeddings. Implemented multiquery, memory, and auto-indexing functionality to improve AI accuracy. Deployed agent workflow that selects retrieval tools based on user question context. • Created separate vectorstore indexes for regulations and legal cases. • Engineered Langchain agent for tool selection via prompt cues. • Automated content retrieval pipelines and performance monitoring. • Designed test cases and evaluated workflow alignment with intended output.

Not specified

Education

H

Ho Chi Minh City University of Technology

Bachelor of Science, Software Engineering

Bachelor of Science
2011 - 2015

Work History

N

Nexxt Ideas

Senior Full Stack Developer

Hanoi
2022 - 2025
D

Devot

Full Stack Engineer

Hanoi
2018 - 2022