AI/ML Engineer Intern

Tran Quang Minh

SEEKING INTERNSHIP

OPPORTUNITIES

AI / ML Engineer

Open to Intern Roles

CONTACT

098-***-****

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

github.com/Minh1billion

in linkedin.com/in/minh-trần-quang

Ho Chi Minh City, Vietnam

SKILLS

ML / AI

Python PyTorch

Scikit-learn HuggingFace

LLaMA 3 Groq API Pandas

NumPy

SOFTWARE ENGINEERING

FastAPI React TypeScript

Spring Boot REST API

JWT / OAuth2 SSE

INFRA / DATA

Docker AWS EC2 / S3

PostgreSQL Redis Qdrant

Supabase Git / GitHub

Jupyter

TOEIC

READING

400

/ 495

LISTENING

395

/ 495

WRITING

160

/ 200

SPEAKING

140

/ 200

SOFT SKILLS

Team Lead

Self-directed Learning

Accountability

Analytical Thinking

Tran Quang Minh

AI / ML ENGINEER · YEAR 3 STUDENT

Third-year Software Engineering student at HCMUTE with hands-on experience building end- to-end AI systems and full-stack web applications. Skilled in training and deploying ML models with PyTorch, building LLM-powered features with RAG architectures and vector databases, and integrating AI services into production backends via FastAPI. Experienced with the full ML lifecycle - from data preprocessing and model training to REST API serving and real-time inference pipelines. Actively seeking an internship opportunity to apply and grow these skills within a professional AI/ML team. 3.15

GPA / 4.0

7.85

SCORE / 10

Year 3

CURRENT YEAR

5+

PROJECTS LED

EDUCATION

Ho Chi Minh City University of Technology and Education Sep 2023 - Present B.Eng. · Information Technology · Major: Software Engineering PROJECTS

DALreaDone - AI Data Analytics Platform GitHub

FastAPI React + TypeScript PostgreSQL Redis AWS S3 Groq API LLaMA 3.3-70b Docker Compose

Npixie - RAG Chatbot GitHub

FastAPI Qdrant sentence-transformers Groq API LLaMA 3.1-8b Supabase Docker Compose RAG Python

Pixelism - Pixel Art Marketplace (ML Validation) GitHub PyTorch FastAPI Python Spring Boot Next.js 15 SSE Docker AWS EC2

GPA: 3.15 / 4.0 (7.85 / 10)

Team leader across Web Programming, Software Engineering, Machine Learning, and Digital Image Processing courses.

Automated 8-step EDA pipeline (schema, missing values, correlations, quality score) running as a background task with live progress polling.

LLM review pass (Groq LLaMA 3.3-70b) returns structured JSON - domain inference, severity-tagged issues, semantic types, and keep/drop candidates.

AI-suggested preprocessing pipeline: composable fit/transform ops; result saved to S3 and immediately available for a new EDA run.

Live LLM cost tracking via SSE; auth via JWT + httpOnly cookie + OAuth2 (Google, GitHub); task state in Redis.

RAG-powered chatbot with Qdrant vector search (sentence-transformers) + Groq LLaMA 3.1-8b generation; answers grounded in ingested lore documents.

5 NPC personas auto-selected by keyword routing, each defined as a YAML config - adding a new character requires zero code changes.

Live product recommendations from Supabase; deployed via Docker Compose with REST + Swagger UI.

Built and integrated a PyTorch image classifier served via FastAPI to validate sprite uploads - only real pixel art is accepted into the platform.

Model inference called asynchronously from the Spring Boot backend; validation result pushed live to the client via SSE without polling.

Full-stack marketplace previously deployed on AWS EC2; frontend on Next.js 15, storage via Cloudinary CDN, auth via JWT + OAuth2.

Contact this candidate