Open to opportunities

Ansh Gupta

@anshgupta

AI/ML Developer building production computer-vision and deep-learning models with optimized pipelines and AWS deployments.

United Kingdom

Message

What I'm looking for

I want to build and deploy production-ready computer-vision and deep-learning systems, focusing on optimized inference pipelines, strong data workflows, and reliable AWS/Docker/Flask releases, where I can keep improving accuracy and latency.

I’m an AI/ML Developer with 2 years of industry experience building and deploying computer-vision and deep-learning models in production. I focus on the full prototype-to-AWS lifecycle, with strong data pipeline and model optimisation skills that translate into reliable, measurable outcomes.

At Agsure Innovations, I built computer-vision models for an AI grain analyser, reaching up to 99% evaluation accuracy and cutting grain-quality assessment time to under 10 seconds per sample. I also optimised deep-learning inference pipelines, reducing live-production latency by over 30% while maintaining classification accuracy above 95%, and deployed/scaled models on AWS using Docker and Flask APIs—reducing deployment time by approximately 40%.

I’m currently completing an MSc in Data Science at the University of Leicester, strengthening my foundation from roles like an IBM Data Scientist apprenticeship and ML trainee work at JUIT Industrial Training. I enjoy turning model outputs into clear, actionable insights and shipping dependable systems that stakeholders can trust.

Experience

Work history, roles, and key accomplishments

AI/ML Developer

Agsure Innovations

Jun 2024 - Aug 2025 (1 year 2 months)

Built computer-vision models for Agsure’s AI grain analyser, achieving up to 99% evaluation accuracy and reducing assessment time to under 10 seconds per sample. Optimised deep-learning inference pipelines and deployed/scaled models on AWS using Docker and Flask APIs.

Computer Vision Deep Learning AWS Docker Flask API Deployment

Business Development Associate

Sapphire Realty

May 2024 - Jun 2024 (1 month)

Contacted and qualified company-provided leads via cold calling to identify new business opportunities and meet monthly targets. Maintained and updated the client database with outreach and follow-up activity.

Cold Calling Lead Qualification Sales Outreach

AI/ML Trainee

JUIT Industrial Training

Jun 2023 - Jul 2023 (1 month)

Completed structured AI/ML training covering Python fundamentals through neural-network and hidden-layer computation. Built end-to-end machine-learning workflows for data pre-processing and model development, and presented results using Python visualisation libraries.

Python Machine Learning Neural Networks Data Visualization

Data Scientist (Apprenticeship)

IBM

Jul 2022 - Oct 2022 (3 months)

Studied core machine-learning and deep-learning concepts, including CNN architectures, using TensorFlow and Keras. Built and evaluated scenario-based models in a Jupyter environment and communicated interpretable insights to non-technical stakeholders.

Machine Learning Deep Learning TensorFlow Keras Jupyter Model Evaluation Model Interpretability

Education

Degrees, certifications, and relevant coursework

University of Leicester

Master of Science, Data Science

2025 -

MSc in Data Science at the University of Leicester (2025–2026), currently in progress. Focused on building data science skills for applied ML and analytics.