Ha Manh Nguyen
I build AI systems that actually move the needle. Whether it's intraday futures trading, financial document intelligence, or autonomous research agents — I start with the business problem, not the technology. Finance + Data Science + AI engineering means I can operate across the full stack: from understanding a P&L to deploying a distributed microservice. I enjoy the cross-domain work because it's where real impact lives.
Philosophy
I believe most AI failures aren't technical — they're problems of understanding.
Understanding the P&L, the user, the business constraint. That understanding is what separates a working AI from an impressive demo. That's why I operate across the full stack — from domain knowledge to deployment.
Professional Path
Jan 2026 – Present
AI Engineer
FiinGroup JSC
Hanoi, Vietnam- Proactively research, test, and evaluate new AI tools, frameworks, and libraries (LLMs, RAG, agents, automation, etc.).
- Assess technical solutions for technical feasibility, cost, stability, scalability, and suitability for real-world business cases.
- Develop rapid PoCs to validate effectiveness and package them into shared APIs/services.
- Integrate AI solutions into existing backend systems including data pipelines, CMS, product core, and internal tools.
- Collaborate closely with Product teams to realize product ideas with a focus on speed, lean execution, efficiency, and measurability.
- Standardize architecture, workflows, and best practices for system-wide AI deployment.
Dec 2025 – Jan 2026
Quantitative Analyst Intern
Goline Corporation
Hanoi, Vietnam- Engineered a diverse quantitative research pipeline for intraday futures trading, progressing from rule-based heuristics and statistical arbitrage to advanced Machine Learning strategies.
- Developed and fine-tuned alpha signals using Neural Networks, Gradient Boosting, and Genetic Algorithms, focusing on capturing non-linear market dependencies.
- Implemented Walk-Forward Optimization and event-driven backtesting to rigorously validate strategy robustness, minimizing look-ahead bias and ensuring stability across different market regimes.
Nov 2024 – Jan 2025
Research Assistant in Artificial Intelligence
Centre for Research on Engineering Software Technologies
Adelaide, Australia- Developed a finance-agent using Retrieval-Augmented Generation (RAG) with LangChain and LangGraph, integrating multiple data sources to assist students with queries.
- Designed a custom RAG architecture by integrating Self-RAG with Corrective-RAG to enhance response accuracy.
- Implemented and optimized retrieval pipeline using RAGAS, leveraging Milvus for vector storage and a hybrid retriever combining BM25, cosine similarity, and cross-encoder reranking.
- Validated on 1,000+ documents, demonstrating robust and scalable information retrieval and synthesis.
- Fine-tuned ModernBERT on synthetic LLM-generated queries for multi-agent classification, achieving comparable accuracy to direct LLM inference with significantly lower latency.
Aug 2024 – Sep 2024
Strategy, Risk & Transactions Consultant Intern
Deloitte Australia
Adelaide, Australia- Analyzed enterprise LLM applications and co-led testing of an internal chatbot to streamline the office transition.
- Contributed to the analysis of business strategies and regulations, delivering insights to improve client outcomes.
- Performed comprehensive research and data analysis, directly supporting key decision-making for advisory projects.
- Worked with cross-functional teams to address complex business challenges and deliver comprehensive solutions.
Nov 2023 – Jan 2024
Research Assistant in Data Science
Adelaide Data Science Centre
Adelaide, Australia- Collected and processed over 2.9 million lines of historical fuel price data for Western Australia.
- Leveraged OSMnx in Python to accurately map coordination for 90.3% of unique fuel stations in Western Australia.
- Utilized Tidyverse in R to analyse 20+ million fuel data lines, uncovering insights on historical price trend.
- Employed time series forecasting techniques (ETS, ARIMA, Prophet) to predict future fuel price trends.
- Conducted geospatial analysis, enabling users to calculate average radius to nearest fuel station by postcode.
Selected Works
Vietnamese Stock Market Financial Reasoning Agent
Architected an intelligent query routing system that classifies prompts and autonomously decomposes complex, multi-step financial questions into parallel sub-tasks. Integrated 7+ domain-specific tools for real-time analysis.
FastAPIDockerLLMPython
Machine Learning
Rail Break Detection AI
Built a Predictive Maintenance model using real-world sensor data from the Australian Rail Track Corporation (ARTC) to detect rail breaks with an F1 score of 0.6.
SQLPythonMachine LearningDatabricks
Technical Arsenal
AI & Agentic Systems Architecture
Autonomous Agents (OpenClaw, DeepAgents)LLM Orchestration & RAG (LangGraph, LangChain, PyTorch)Advanced Vision & OCR (Vision Transformer, EfficientNet)
Backend & Distributed Systems
High-Throughput Microservices (FastAPI, C++)Event-Driven Architecture (Redis, RabbitMQ)Autonomous Extraction (Crawl4AI, Axiom.ai)
Quantitative Research & Machine Learning
Alpha Generation (Neural Nets, Genetic Algos, Meta-Learning)Backtesting (Walk-Forward, Event-Driven)ML & Stats (XGBoost, Scikit-learn, Time Series)
Data Engineering & Cloud Infrastructure
Databases (PostgreSQL, Neo4j, MongoDB)Cloud Object Storage (AWS S3, Minio)DevOps (Docker, Git, Linux, Databricks)
Frontend & Web Architecture
Next.jsReact
Academic Foundation
July 2021 – July 2025
University of Adelaide
Concurrent Dual-Degree Program · Adelaide, Australia
Overall GPA: 6.375/7.0
Achievements
- Adelaide Summer Research Scholarship (2023 & 2024)
- University of Adelaide Partner Scholarship
Bachelor of Mathematical and Computer Sciences
Major: Data Science
Data Structures and AlgorithmsIntroduction to Statistical Machine LearningParallel and Distributed ComputingComputer VisionArtificial IntelligenceStatistical Modelling and Inference
Bachelor of Finance
Major: Finance
Business ValuationPortfolio Theory & ManagementOptions, Futures & Risk ManagementBusiness Data AnalyticsFinancial ModellingMoney, Banking and Financial Markets
Aug 2018 – May 2021
HUS High School for Gifted Students
High School Diploma · Hanoi, Vietnam