Machine Learning Engineer Intern

Nguyen Ngoc Nhan

AI/ML Engineer Intern

Ó +(84-353******

Nhan Nguyen Ngoc

R *************@*****.***

github.com/tooniesnguyen

ABOUT ME

• I am a final-year student majoring in Mechatronics Engineering from Ho Chi Minh University of Technology and Education. I have experience deploying AI models on embedded devices such as Raspberry Pi and Jetson Nano.

• Personally, my short-term objectives are to adapt to jobs in one month, accumulate new technologies and do AI related jobs. Besides that, my long-term objective is to become a Fresher AI Engineer in your company TECHNICAL SKILLS

• Languages: Python, C, C++, SQL, PHP, JavaScript, Matlab.

• Programming Skills: OOP, Data structures and algorithms.

• Developer Tools: Docker, Github, Postman, Visual Studio Code, Label Studio, Shell.

• Vector Search Algorithms: ElasticSearch, NGT, qDrant, Faiss.

• Database: MySQL, MongoDB.

• Frameworks: Deep Learning (TensorFlow, Keras, PyTorch), Machine Learning & Data Manipulation (Pandas, Numpy, Scikit-learn), Computer Vision(OpenCV, Scikit-image), Natural Language Processing (RegEx, NLTK, FastText, Gensim, spaCy), Model Deployment & Optimization (ONNX, TensorRT), Visualization & Deployment

(Matplotlib, Seaborn, TensorBoard, FastAPI, MLflow), Data Version Control (DVC).

• Knowledges:

• Have fundamentals of Machine Learning, Computer Vision, and Natural Language Processing.

• Strong ability to read, understand, and present scientific papers.

• Soft Skills: Comunication, Critical-thinking, Teamwork, Problem-solving. HONORS AND AWARDS

• 1st prize, MTA Robot Challenge 2023 W

• 1st prize, HCMUTE Self-Driving Car 2023 W

• 3rd prize, the 15th design, manufacturing, and application award - 2024

• Reaching final round of AI Challenge 2023, Theme: ”EVENT RETRIEVAL FROM VISUAL DATA” EDUCATION

HCMC University of Technology and Education Aug 2020 – Now Mechatronics engineering GPA: 3.14/4.00

Samsung Innovation Campus May 2024 – Sep 2024

Specialized training in the Artificial Intelligence In progress EXPERIENCE

UTE-AI Lab Aug 2023 – Now

Research Assistant

• Report, and participate in countless competitions in HCMC.

• Catch on the state-of-the-art tendencies in AI fields instructed by PhD. Tran Vu Hoang. PROJECTS

Mobile Service Robot Development Github Aug 2023 - Feb 2024 Description: Developing an intelligent robot to replace lecturers in admissions counseling and student guidance. The robot reduces lecturers’ workload and makes school visits more enjoyable for students. Students interact with the robot through a web interface on its screen. From the message entered, the robot uses an AI model to answer questions and guide as requested. My responsibilities:

• Research and build a system to answer questions and lead the shortest route to the required room through SQL and NoSQL databases. Research reinforcement learning to improve actions on the model.

• Design a website for students to interact with the robot and give directions. And packing by Docker and storing API by FastAPI framework.

Technology Description:

• Techniques: A Star, Word2Vec, Word Embedding, Tokenize, Stemming, Lemmatization, Regex.

• Model: RNN, LSTM, Transformer, BERT, Deep Q Learning.

• Frontend: FastAPI, JavaScript, HTML, CSS.

• Database: MariaDB, MongoDB.

• Device: Robotino (FESTO).

Team Size: 3

My position: Leader

Subject: Project of Mechatronics System

Autonomous Driving Github Oct 2023 - Now

Description: Developing a self-driving car system that navigates without human intervention. The project aims to improve traffic safety, reduce human error accidents, and optimize travel time. Our car uses multitask learning to detect lanes and signs. Additionally, our team researches reinforcement learning to make driving decisions from input images. My responsibilities:

• Research model to solve the problems: Lane Detection (Unet, PINet, Yolov8), Traffic Signs Detection

(YOLOv5, YOLOv8, CenterNet), Multi-Task Learning (CERBERUS) and image processing.

• Research controller based on PID, DQN, DDQN. Simulating on Unity, and CARLA to test algorithms and building embedded system on STM32, Raspberry, and Jetson. Technology Description:

• Model: UNET, PINet, YOLOv5, YOLOv8, CenterNet, CERBERUS, DQL, DDQL.

• Techniques: PID controller, Canny, Gaussian Blur, Hough Line Transform.

• Device: STM32, Raspberry Pi 3, Jetson Nano, Jetson Orin Nano. Team Size: 4

My position: Leader

Competetion: HCMUTE Self-Driving Car

Text-Video Retrieval Github Aug 2023 - Oct 2023

Description: Developing a video query system based on text input. This project aims to assist users in efficiently searching and retrieving specific information from lengthy videos, thereby saving time and enhancing productivity. The system uses both Natural Language Processing and Computer Vision technologies to translate textual queries into actionable video content. My responsibilities:

• Establish system pipelines. Use vector search index and search matching features.

• Extract features from video and get text features to correlate with frames of video in the database.

• Furthermore, the text on the frames of video would be utilized by using Automatic Speech Recognition, Image Captioning, and OCR to extract features and compare with the input text. Technology Description:

• Model: CLIP, PLIP, BLIP, FLIP, BERT, Transformer, TransNet, CRAFT, VietOCR.

• Vector search algorithms: Faiss, Elasticsearch, NGT, qDrant, Annoy.

• Frontend: Fast API, JavaScript.

Team Size: 3

My position: AI R&D

Competition: HCMC AI Challenge 2023

Smart Attendance Monitoring System (IoT) Github Sep 2023 - Oct 2023 Description: Develop an automatic student attendance system with RFID card scanning to enhance attendance management in schools saving time for teachers and students. The system records entry and exit times using RFID card readers, sending data to a server. Design website allows administrators and lecturers to remotely track and analyze attendance. My responsibilities:

• Build a website that can visualize data from the database so that lecturers and administrators can remotely track and analyze attendance.

Technology Description:

• Frontend: JavaScript, HTML, CSS.

• Database: MariaDB.

• Device: RC522, Raspberry Pi3.

Team Size: 2

My position: Leader

Subject: Internet of Things in Mechatronics

CERTIFICATIONS

• Computer Vision for Data Scientists W

• Learning XAI: Explainable Artificial Intelligence W

• AI Fundamentals for Data Professionals W

• Machine Learning With Python W

• Participated in the Vietnam robot creation contest - ROBOCON 2023 W

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