AI Engineer - Data Science & AI Researcher

Specialization: Data Science & AI.

Thesis: Currently conducting a research-based thesis in the field of Data Science.

**** - ****

Bachelor of Data Scientist

HUFLIT University

NGUYỄN TRỌNG

BÍCH TRÂM

AI Fresher

CONTACT

ABOUT ME

SKILLS

Tan Hoa Ward, Tan Binh

*******************@*****.***

038*******

EDUCATION

Research and develop AI Agent systems integrated with the Odoo platform.

Build and optimize Multi-timeseries Forecasting models for complex data patterns.

Utilize modern tech stacks: Python, LangChain, OpenAI API, and TensorFlow.

TMA Solutions AI Engineer Intern 12/2025 - 3/2026 Dedicated nearly 3 years to a part-time role, honing essential soft skills: time management, team collaboration, and proactive problem-solving before transitioning to a full-time focus on AI Engineering.

Part-time Professional Experience 2023- 3/2026

AI Agent

Implemented a decentralized machine learning model using TensorFlow Federated (TFF).

Focused on privacy-preserving analysis of malaria datasets, ensuring data security while maintaining model performance. Federated Learning with Malaria Data

Machine Learning & Deep Learning

Portfolio

EXPERIENCE

REFERENCES

A dedicated AI Engineer Intern with a solid

foundation in Data Science and Artificial

Intelligence. Experienced in developing AI

Agent systems and multi-timeseries

forecasting models. I combine technical

expertise in Python and LangChain.

Programming & AI: Python, TensorFlow,

LangChain, PyTorch,..

Data Science: Data Analysis, Multi-timeseries

Forecasting, AI Agents.

Skills: Critical Thinking, Problem-Solving,..

*******@*****.***

Mr. Tai Quach

Email :

Project Manager - TMA

PROJECT

Built an intelligent agent using LangChain & OpenAI API to automate Odoo workflows.

Integrated Model Context Protocol (MCP) and Chrome automation for seamless tool-calling.

Implemented RAG with Embeddings and Vectorstores

(ChromaDB) for internal data retrieval.

Multitimes Series Forecasting - Data M5

Multi-timeseries Forecasting (M5): Developed high-accuracy forecasting models using the M5 Accuracy dataset.

Implemented hierarchical forecasting techniques to predict sales across various product categories and stores. Modeling & Optimization: Utilized LightGBM, XGBoost, and statistical methods to handle intermittent demand and improve RMSSE scores.

Process Automation: Collaborated on integrating AI solutions into internal workflows using Python and data-driven insights. 30/10/2004

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