Live
Retrieval-augmented generation
RAG Compliance Chatbot
A retrieval-augmented chatbot that answers natural-language questions about AI regulation, with the source passages cited back to the reader.
About
I build and deploy machine learning models, NLP pipelines, REST APIs and LLM-powered applications, and I pair that engineering work with practical experience of ISO 27001, GDPR, the EU AI Act and AI governance.
Junior AI / ML Engineer building and deploying real applications.
Junior AI / ML Engineer — Birmingham, United Kingdom
- Location: Birmingham, United Kingdom
- Current role: AI Compliance Specialist
- Certifications: AWS AI Practitioner, CompTIA Security+
- Public repositories: 19 on GitHub
- Specialisms: NLP, LLM & RAG, computer vision
- Governance: EU AI Act, GDPR, ISO 27001
- Deployment: FastAPI, Streamlit, REST APIs
- Availability: Open to opportunities
My work spans retrieval-augmented generation, transformer fine-tuning, computer vision and classical machine learning — shipped as working applications rather than notebooks alone. Three of the projects below are live and publicly usable.
I hold the AWS Certified AI Practitioner and CompTIA Security+ (SY0-701) certifications, and I am currently open to junior AI/ML, applied NLP and responsible-AI engineering roles.
Public repositories on GitHub
Live applications deployed and publicly usable
Featured projects across NLP, vision and governance
Years in technology delivery, support and compliance
Curriculum Vitae
Four years across technology delivery, support and compliance, now focused on building and shipping AI and machine learning applications.
Summary
Shivam Kumar
I build and deploy machine learning models, NLP pipelines, REST APIs and LLM-powered applications, and I pair that engineering work with practical experience of ISO 27001, GDPR, the EU AI Act and AI governance.
- Birmingham, United Kingdom
- LinkedIn profile
- GitHub — 19 public repositories
Education
Self-directed AI / Machine Learning study
Ongoing
IT Career Switch — AI Engineer traineeship curriculum
Machine learning fundamentals, Python for AI, data handling and processing, deep learning, natural language processing, computer vision, Git/GitHub, AI deployment and MLOps.
Certifications & Training
- AWS Certified AI PractitionerCertified
- CompTIA Security+ (SY0-701)Certified
- Tenable Vulnerability Management SpecialistCompleted
- Tenable One & Cloud SecurityCompleted
- Cybersecurity Compliance, Risk and AuditCompleted
- IT Career Switch AI Engineer TraineeshipCompleted
Professional Experience
AI Compliance Specialist
August 2025 – Present
Peak Cyber Institute, Remote (United Kingdom)
- Mapped 100+ security controls to the NIST Cybersecurity Framework, applying the structured analysis used in machine learning labelling and evaluation workflows.
- Reduced audit response time by 35% by centralising evidence repositories and building automated documentation pipelines with Python and Power Automate.
- Conducted gap analysis across 15 high-risk exposure areas, translating unstructured findings into structured, actionable outputs.
- Presented technical findings to senior stakeholders using clear, evidence-based communication.
Early Careers Cyber Security Analyst
January 2025 – July 2025
LRQA Nettitude, United Kingdom
- Created control-mapping documentation aligning client environments to ISO 27001 and SOC 2.
- Supported 4+ successful client audits through evidence packs and compliance matrices, with zero critical findings raised.
- Facilitated 150+ assessments and tracked remediation actions end to end.
- Standardised assessment templates to improve process consistency and enable repeatable workflows.
Application Support / Integrations Analyst
September 2022 – December 2024
P&O Ferrymasters, United Kingdom
- Improved data-integration efficiency by 80% by redesigning data-flow mappings and refining legacy ETL-style processes.
- Enhanced mapping efficiency by a further 35% through iterative process improvement and technical documentation.
- Provisioned and reviewed user access in line with ISO 27001 governance standards.
- Built and tested Microsoft 365 Power Automate workflows, applying scripting logic and process-automation principles.
- Collaborated across cross-functional teams in structured, Agile-style delivery environments.
Tech Stack
The languages, frameworks, libraries and platforms I have studied and used to build and deploy the projects below.
Python
JavaScript
TypeScript
SQL / SQLite
FastAPI
LangChain
Hugging Face
scikit-learn
TensorFlow
Keras
PyTorch
pandas
NumPy
Streamlit
Jupyter
Git
GitHub
Docker
VS Code
AWS
Microsoft Azure
Google Cloud
Projects
Seven AI and machine learning projects, from retrieval-augmented generation to computer vision. Three are deployed and publicly usable; every project is open source.
Live
Live
Compliance automation
GDPR Request Classifier
Triages incoming data-subject requests, maps each one to the relevant GDPR article and recommends the next compliance action.
Live
Applied machine learning
2026 World Cup Predictor
Predicts the outcome of any international football fixture using an XGBoost classifier trained on more than 25,000 historical matches.
AI governance API
EU AI Act Risk Checker
A REST API and web interface that screens an AI use case against the EU AI Act risk tiers and returns a structured, explainable verdict.
Transformer NLP
Sentiment Analysis API
A production-style REST service that classifies text as positive or negative using a fine-tuned DistilBERT model.
Computer vision
CIFAR-10 CNN & API
A convolutional neural network trained on CIFAR-10, benchmarked against a dense baseline and served through a REST API.
Semantic similarity
CV Screener API
Scores how well a candidate CV matches a job description using semantic sentence embeddings rather than keyword counting.
Live applications are hosted on Streamlit Community Cloud and may take a few seconds to wake from sleep.
Contact
Open to junior AI/ML, applied NLP and responsible-AI engineering roles. The quickest way to reach me is on LinkedIn.
Based in
Birmingham, United Kingdom