Abhishek Negi

I am AI Engineer

About Me

AI Engineering | Machine Learning | Data Science

AI Engineering & Data Science

MSc Data Science graduate and AWS Certified AI Practitioner with practical experience developing AI applications in natural language processing and computer vision.

I hold an MSc in Data Science (Merit) from the University of Birmingham and a BTech in Computer Science and Engineering.

I have successfully completed the AI Engineer Traineeship with IT Career Switch, including two practical AI projects: a medical text summarisation application and a visual product recommendation system.

My professional background includes data analytics at Realme and healthcare administration within the NHS. I combine analytical experience with hands-on skills in Python, machine learning, data preprocessing and AI application development.

Location: United Kingdom
Education: MSc Data Science (Merit)

Certification: AWS Certified AI Practitioner
Training: IT Career Switch - AI Engineer

I am interested in applying my technical and analytical skills to AI Engineering, Machine Learning and Data Science opportunities.

Technical Skills

Languages, frameworks, libraries and development tools used throughout my data science, analytics and AI engineering projects.

Python

PyTorch

scikit-learn

NumPy

pandas

Flask

Hugging Face

Git

GitHub

Jupyter

Streamlit

SQL

Additional Analytics & Data Skills

Curriculum Vitae

My academic qualifications, professional experience, technical training and certifications.

Education

MSc Data Science (Merit)

2022

University of Birmingham, UK

Postgraduate degree in Data Science, covering statistical analysis, machine learning, programming, data management and predictive modelling.

BTech Computer Science and Engineering

2021

Dronacharya College of Engineering, India

Undergraduate degree covering programming, databases, data structures, algorithms and computer science fundamentals.

Professional Training & Certifications

AWS Certified AI Practitioner

August 2026

Amazon Web Services (AIF-C01)

AWS certification covering artificial intelligence, machine learning, generative AI, foundation models and responsible AI principles.

AI Engineer Traineeship

Completed 2026

IT Career Switch

Completed training in Python, machine learning, deep learning, NLP, computer vision and AI development.
Successfully completed and passed two practical AI engineering projects.
Developed medical text summarisation and visual product recommendation applications.

Additional Training

Data Analytics & Business Intelligence

PwC Power BI Virtual Case Experience, KPMG Data Analytics Virtual Internship, and HackerRank Python and SQL.

Professional Experience

Administration Assistant

2025 - Present

South Tees Hospitals NHS Foundation Trust, UK

Manage outpatient appointment workflows and maintain accurate patient records.
Support healthcare performance monitoring, waiting-time standards and data quality.
Coordinate clinical and administrative communications while following information governance requirements.

Administrator

2024 - 2025

Cambridge University Hospitals NHS Foundation Trust, UK

Supported outpatient scheduling and patient appointment management.
Maintained accurate electronic patient records and coordinated clinical communications.
Supported data accuracy and efficient administrative workflows.

Data Analyst

2023 - 2024

Realme

Worked on data cleaning, analysis and reporting.
Analysed consumer and business data to support data-driven decisions.
Developed and improved dashboards for stakeholder reporting and data visualisation.

Download Curriculum Vitae

AI Project Portfolio

A selection of practical artificial intelligence projects developed during my AI Engineer Traineeship with IT Career Switch.

Natural Language Processing

Medical Text Summarisation

An AI application designed to generate concise summaries from radiology findings using natural language processing.

Python NLP REST API ROUGE

Visual product recommendation application screenshot

Computer Vision

Visual Product Recommendation System

An image-based recommendation system using CLIP embeddings and cosine similarity to identify visually similar products.

Python CLIP PyTorch Flask

Let's Connect

Interested in connecting about AI Engineering, Machine Learning or Data Science opportunities? Feel free to send me a message.

Get in Touch

I'm interested in opportunities involving artificial intelligence, machine learning and data science.

Use the contact form to send me a message, or explore my development work on GitHub.

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