James Rampersad

Founder

London, England, United Kingdom12 yrs experience

Key Highlights

Over 7 years of impactful ML solutions experience.
Expertise in both big-tech and fast-paced startups.
Strong product mindset with a bias for action.

Stackforce AI infers this person is a Machine Learning Engineer with expertise in AI and cloud technologies.

Contact

Skills

Core Skills

Machine LearningDeep Learning

Other Skills

AWS SageMakerPyTorchGoogle Cloud Platform (GCP)Large Language Models (LLM)TorchServeStable DiffusionTPUC++Time ManagementData AnalysisMathematicsComputer ScienceTheoretical PhysicsForeign LanguagesSQL

About

Dedicated ML/AI professional with over 7 years experience delivering impactful ML solutions at both big-tech (Apple & Google Research) and fast-paced startups. Highly motivated with a strong product mindset and bias for action. I have extensive experience across the ML tech-stack from research, model architecture design and experimentation through to productionisation, deployment and performance optimisation. In my spare time I enjoy building innovative ML-powered apps for the web and iOS. Languages: Python, Swift, TypeScript, C++ ML: Pytorch, Tensorflow, Pytorch Distributed, Torch-XLA, LLM finetuning, diffusion models, Cloud: AWS (Sagemaker, ECS, EC2, Lambda) GCP (VertexAI AppEngine, BigQuery, Cloud Functions, Cloud Scheduler, Firebase, Firestore)

Experience

12 yrs

Total Experience

1 yr 6 mos

Average Tenure

1 yr 8 mos

Current Experience

G-research

Machine Learning Engineer

Oct 2024 – Present · 1 yr 8 mos · London Area, United Kingdom · On-site

Unlikely ai

Research Engineer

Apr 2023 – Oct 2024 · 1 yr 6 mos · Greater London, England, United Kingdom

Pioneering safe and explainable AI with a neuro-symbolic approach, led by the founder of Amazon Alexa.
https://unlikely.ai
I designed and built out model serving infrastructure with AWS Sagemaker + TorchServe and training pipelines in Vertex AI.
Led innovative experiments involving LLM fine-tuning and tool use.
Led development of a new interview track for research engineers.
Responsible for mentoring and coaching other team members in engineering and research best practices.

AWS SageMakerPyTorchGoogle Cloud Platform (GCP)Large Language Models (LLM)Deep LearningMachine Learning

Stealth mode

Founder

Oct 2021 – Apr 2023 · 1 yr 6 mos · Greater London, England, United Kingdom

PyTorchGoogle Cloud Platform (GCP)Large Language Models (LLM)Deep LearningStable DiffusionTPU+1

Google

Machine Learning Engineer

Mar 2020 – Sep 2021 · 1 yr 6 mos · Berlin Metropolitan Area

Google Cloud Platform (GCP)Large Language Models (LLM)Deep LearningC++Machine Learning

Apple

Machine Learning Engineer

Oct 2017 – Dec 2019 · 2 yrs 2 mos · Greater Cambridge Area

PyTorchDeep LearningMachine Learning

Microsoft

MPhil Research Placement

Apr 2017 – Aug 2017 · 4 mos · Greater Cambridge Area

MPhil Research project on Neural Program Lattices

Deep LearningMachine Learning

University of cambridge

Machine Learning MPhil

Oct 2016 – Aug 2017 · 10 mos · Greater Cambridge Area

RL, Deep learning, Spoken Dialog Systems, Advanced Machine learning, Speech Recognition & Synthesis, Practical Optimisation, Bayesian Statistics, Weighted Automata

Deep LearningMachine Learning

University of st andrews

Maths and Theoretical Physics BSc

Sep 2013 – Jul 2016 · 2 yrs 10 mos · St Andrews Fife

1st Class Honours
Final Year Project: Automatic Optimisation of Machine Learning Hyper-parameters
Modules Taken include: Computational Physics, Lagrangian and Hamiltonian Dynamics, Thermal and Statistical Physics