Vahid Asghari

AI Researcher

Kowloon, Hong Kong7 yrs 1 mo experience

Highly StableAI Enabled

Key Highlights

Expert in quantitative research and machine learning.
Proven track record in reducing costs through innovative models.
Strong background in AI-driven financial solutions.

Stackforce AI infers this person is a Fintech and SaaS expert with a strong focus on AI and machine learning.

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Skills

Core Skills

Quantitative ResearchMachine LearningStatistical Data AnalysisEtlPython (programming Language)Reinforcement Learning

Other Skills

Large Language Models (LLM)Quantitative DevelopmentArtificial Intelligence (AI)Amazon Web Services (AWS)LinuxRetrieval-Augmented Generation (RAG)PostgreSQLScientific ComputingDeep LearningTechnical WritingXGBoostTechnical AnalysisImage ProcessingARIMAReliability Analysis

About

Managing risk in markets. Tech-savvy, researcher, and a problem solver who gets things done. DM me your CV for job opportunities. My periodicals: https://forms.gle/17VUQpBWkAtW9q7E8

Experience

7 yrs 1 mo

Total Experience

2 yrs 10 mos

Average Tenure

1 yr 4 mos

Current Experience

Premialab

Quant AI Specialist

Jan 2025 – Present · 1 yr 4 mos · Hong Kong SAR · On-site

Large-scale risk engine for equity and derivatives
Quant research/dev in the QIS space

Quantitative ResearchMachine LearningLarge Language Models (LLM)Quantitative DevelopmentArtificial Intelligence (AI)

The hong kong university of science and technology

Visiting Assistant Professor

Feb 2024 – May 2024 · 3 mos · Hong Kong SAR · On-site

1) Introduction to Risk Management and Business Intelligence
2) Statistics for Financial Risk Management

Muziris research

Quantitative Researcher

Oct 2022 – Dec 2024 · 2 yrs 2 mos · New York, United States · Remote

Equity systematic trading
ML-driven alpha research
Low-latency execution

Machine LearningStatistical Data AnalysisAmazon Web Services (AWS)LinuxLarge Language Models (LLM)Retrieval-Augmented Generation (RAG)+2

Airprophet

Data Scientist

Apr 2022 – Oct 2022 · 6 mos · Hong Kong SAR · Hybrid

Developed XGBoost/CatBoost models for air flight duration with 5 min MAE for a 6 hrs flight
Reduced annual costs up to $\%$1.1M and carbon emissions up to 390T for average airline routes
Implemented ETL pipelines and stored data in a PostgreSQL database
Founder was brought on board at Cathay Pacific
Collaboration was based on a partnership agreement

Python (Programming Language)ETLMachine LearningPostgreSQL

The hong kong polytechnic university

Post-graduate Researcher

Sep 2018 – Apr 2022 · 3 yrs 7 mos · Hong Kong

ReinforceAM (Thesis):
Reduced projected bridge maintenance costs by 14% over the next 20 years for the Indiana Department of Transportation using innovative ML models
Designed and implemented the first automated multi-agent network-level RL investment agents
Reduced projected bridge maintenance costs by 14% over the next 20 years for the Indiana
Department of Transportation using innovative ML models
Translated the stochastic costs and utility models into Python re-usable modules
Trained ensemble/boosting models with Sci-kit for predicting life cycle costs with a 3% error
Trained DNN models with Tensorflow/Keras for learning optimization behavior with an 8% error
Published the first open-source investment valuation model for infrastructure assets
Enforced clean code for best code readability and maintenance
Led three post-graduate students in conducting and completing AI-based research
Published more than 8 scientific papers in top-tier peer-reviewed journals
MLLeakDetect:
Enhanced fault detection in an engineering system, measured by detecting faults with 97% accuracy on the test data set, through training CatBoost models for replacing the conventional optimization models