Jinhua Wang

CTO

London, United Kingdom4 yrs 9 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Led development of LLM agents for financial analysis.
Expert in Generative AI and Machine Learning.
Proven track record in high-performance computing.

Stackforce AI infers this person is a Fintech and SaaS expert specializing in Generative AI and Machine Learning.

Contact

Skills

Core Skills

Generative AiDeep LearningLarge Language Models (llm)Natural Language Processing (nlp)High Performance Computing (hpc)Machine LearningEconometrics

Other Skills

Distributed TrainingTransformerMultimodal LLMsMulti-agent SystemsAgent-based ModelingLangchainDeepspeedStochastic Differential EquationsStochastic CalculusReinforcement Learning with Human Feedbacks (RLHF)Latent Diffusion ModelsStochastic ProcessesVariational Autoencoders (VAEs)Stable DiffusionDiffusion Transformers

About

Entrepreneur and Machine Learning Researcher

Experience

4 yrs 9 mos

Total Experience

1 yr 7 mos

Average Tenure

1 yr 7 mos

Current Experience

Jpmorganchase

2 roles

Applied AI/ML Director (Generative AI) - Executive Director

Promoted

Feb 2026 – Present · 3 mos · On-site

Training deep learning models on B200 GPUs.
https://arxiv.org/abs/2602.18308

Generative AIDistributed TrainingTransformerDeep Learning

Applied AI/ML Lead (Generative AI) - Vice President

Oct 2024 – Feb 2026 · 1 yr 4 mos · On-site

Led the architecture and development of the first general-purpose LLM agents for analyzing Excel data at J.P. Morgan.
Scaled these agents to achieve state-of-the-art performance in financial data analysis benchmarks.
Positioned J.P. Morgan as the world leader in Excel analysis within the banking sector.

Large Language Models (LLM)Natural Language Processing (NLP)Multimodal LLMsMulti-agent SystemsAgent-based Modeling

Amazon

2 roles

Applied Scientist (Large Language Models and Generative AI)

Nov 2023 – Oct 2024 · 11 mos · On-site

Ads Image and Video generation with multi-modal large language models and diffusion transformers. Training large transformers and diffusion models on clusters of over 100 A100 GPUs.

LangchainDeepspeedMultimodal LLMsStochastic Differential EquationsStochastic CalculusLarge Language Models (LLM)+9

Machine Learning Scientist

Oct 2022 – Nov 2023 · 1 yr 1 mo · On-site

Design, implement and train LLM Transformer models (LLAMA2-70B, GPT, Falcon, Bloom, Dolly, BERT) and Tabular Data Transformer Models. Productionize low-latency deep-learning models to several millions of users worldwide.

Reinforcement LearningMachine LearningApache SparkDockerDeep LearningNatural Language Processing (NLP)+10

University of cambridge

2 roles

Postdoctoral Research Associate

Jul 2022 – Jul 2023 · 1 yr · Cambridge, England, United Kingdom · Hybrid

Research And Teaching Assistant

Sep 2018 – Apr 2022 · 3 yrs 7 mos · Cambridge, England, United Kingdom · On-site

Teaching assistant (tutorial sessions and grading papers) for Econometrics, Time Series, Algorithmic Trading, Machine Learning in Financial Economics

Python (Programming Language)Time Series ForecastingCausal InferenceMachine LearningEconometricsR (Programming Language)+1

Uoft hatchery

Full-stack Developer

Sep 2016 – Mar 2017 · 6 mos · Toronto · On-site

Built and maintained the platform that serve as an in-house accelerator for University of Toronto students.

Yidu tech inc.

Product Manager

Jun 2016 – Sep 2016 · 3 mos · Beijing, China · On-site

Co-founded the insurance department of Yidu Cloud based on millions of medical data from hospitals. Built one of the first conditional insurance pricing model based on probabilities of medical conditions estimated from live medical data.