Sahadh Fazal Mohamed
Data Analyst | AI Engineer | Software Engineer
I turn messy business data
into reports people actually use.
And build AI tools
that don't make things up.
6
Live production systems
7
Client brands
4
Sectors
20
Daily users on PhatOps
Featured Projects
Data, AI and software, shipped

NHS A&E Service Performance Reporting Pack
September 2026 at 74.4%, 7.6 points below the 82% target, with 7 of 120 trusts on target
A monthly MI pack on 24 months of NHS England A&E data, with KPIs against the 82% four hour target, a RAG table of 120 trusts, written monthly commentary and a one click monthly refresh.

Demand Forecasting and Inventory Planning
Best method weighted MAPE 48.2%, bias minus 7.5%, 15 of 25 products to reorder at 3 weeks of cover
Weekly forecasts for the top 25 products of a UK online retailer (1.07 million sales lines), using 3 methods on an 8 week holdout, plus safety stock, reorder points and a reorder list.

Restaurant Analytics
10 raw tables modelled into a 14 relationship star schema with 18+ DAX measures
End-to-end Power BI business intelligence solution for a multi-branch restaurant. Wrote SQL against the client's live sales database to extract per-shop data, exported to CSV for modelling, then audited and cleaned 10 raw tables into a star-schema model with 14 relationships. Features 18+ DAX measures, a custom punctuality KPI comparing rostered shift starts against clock-in times, and a What-If wage-cost model. Client data and visuals are confidential at the client's request.

TRUKBK
Answers grounded in real product data, with a 2 layer fallback through API outages
Vehicle configurator and an AI Sales Concierge grounded in real product data, powered by a custom RAG pipeline with Supabase pgvector and Google Gemini. It automates high-touch B2B sales queries with grounded, hallucination-resistant responses via retrieval-augmented generation, capturing hot leads 24/7.

PhatOps
Used daily by 20 staff across 4 branches
Comprehensive multi-tenant mobile application launched on the App Store, digitizing operations across 4 PHAT Buns branches with rollout to 16 additional locations. It unifies workforce management, inventory tracking, compliance logging, and internal communications into a single cross platform app, with rendering latency cut by 20% through optimised components and tuned real time subscriptions.

Arasan Travels
Stripe reconciliation cut admin overhead by 15%
A premium, full-stack travel booking and package showcase platform powered by a serverless monorepo architecture and automated booking pipeline. It features an interactive trip discovery carousel, custom Expedia search widgets, and secure Stripe integrations, with automated reconciliation so every transaction ties out.

U-Shop HR Management
Comprehensive Human Resources and staff management dashboard built with React, Vite, and Supabase. It features employee lifecycle tracking, document management (RTW/Contracts), leave management, and secure role-based access.
Verified Expertise
iOS and Android Mobile App Developer
IBM

Completed an intensive 14-course professional program covering native and cross-platform mobile architecture, state management, and production deployments.
Google AI Certification

Covered foundational and advanced Generative AI architectures, neural network tuning, and implementing Google Cloud-based AI workflows.
Applied Skills: Enhance agents with autonomous capabilities
Microsoft

Verified credentials in building autonomous AI agents, Copilots, custom tool calling, and multi-agent orchestration patterns using the Semantic Kernel SDK.
AI Fluency for Small Businesses
PayPal & Anthropic

Trained on utilizing Large Language Models (LLMs) like Claude to automate operational workflows, design smart prompt templates, and build simple text-processing pipelines to optimise business efficiency.
Machine Learning Crash Course

Covered key machine learning concepts including neural networks, loss functions, gradient descent, validation strategies, and multi-class classification.
AWS Cloud Foundations
Amazon Web Services (AWS)

Covered global cloud infrastructure, serverless architectures, storage configuration, database optimization, and cloud security frameworks on AWS.
Data Analysis with Python
freeCodeCamp

Engineered complex data processing pipelines, cleaned tabular datasets, performed exploratory data analysis (EDA), and built statistical prediction models.
PL-300: Power BI Data Analyst Associate (In Progress)
Microsoft
Currently preparing for the Microsoft PL-300 certification, covering data preparation, modelling, DAX measures, and designing interactive Power BI reports and dashboards for business intelligence use cases.
Work History

Cofounder and Lead Developer
Artim Labs | Jan 2026 to Sep 2026
Cofounded a UK studio building websites, apps, bespoke software, third party integrations, HR and operations systems for growing businesses. I led engineering; my cofounder led design and brand.
- Built and shipped a multi-site franchise operations platform covering sales, labour, expenses and compliance.
- Delivered an HR mobile application with one structured record per employee, tracking right-to-work, visas and document expiries.
- Client project (TRUKBK): engineered a hallucination-resistant AI sales concierge on a custom RAG pipeline with vector embeddings and cosine similarity search (Supabase pgvector) and Google Gemini for generation, with a 2-layer fallback preventing customer-facing errors.
- Connected existing point-of-sale systems to mobile apps and reporting, so businesses keep the till they already use while data flows into one place.
Stack: Python, TypeScript, React, React Native, Flask, PostgreSQL, Docker, plus LLM and vector database integration.

Software Engineer (Freelance)
Arasan Travels | Aug 2025 to Jan 2026
Engaged as a freelance software engineer to build a booking platform from scratch for a UK community travel operator, replacing a manual booking and reconciliation process.
- Architected a full-stack platform on a serverless pnpm monorepo (React 19, Vite 7, Express v5), choosing serverless specifically to keep hosting costs low for an early-stage business.
- Built a type-safe, end-to-end automated booking pipeline, so a booking made on the site required no manual intervention to process.
- Integrated Stripe with automated payment reconciliation, cutting administrative overhead by 15% by removing manual end-of-period checking.
- Built an interactive trip discovery carousel and custom search widgets, and modelled the data layer in PostgreSQL with Drizzle ORM.

Software Developer (Contract)
PHAT Buns UK | Apr 2024 to Dec 2025
- Built PhatOps, an operations app covering rostering, inventory and expense tracking, used daily by 20 staff across 4 branches, with rollout planned for 16 further sites.
- Worked directly alongside the staff to source requirements, identifying where orders were lost, delayed or mismatched between kitchen and till instead of assuming the problem from outside.
- Architected it in React, TypeScript, Tailwind CSS and Supabase with real time sync, and cut rendering latency by 20% through optimised reusable components and tuned subscriptions.
- Designed the PhatOps screens in Figma and carried out market research and brand reputation work for PHAT Buns.

Student Representative
Nottingham Trent University | Sep 2023 to Sep 2024
Elected by my cohort to represent their interests to course leaders and academic staff, gathering feedback on teaching, module content and course delivery and raising it through formal university channels.
- Ran regular feedback sessions with students and consolidated concerns into clear, prioritised points for staff meetings, rather than passing on complaints unfiltered.
- Acted as the first point of contact for coursemates settling into university life, helping new students navigate deadlines, module choices and where to get support.
- Followed up on raised issues to confirm they were actually addressed, rather than treating the meeting itself as the outcome.

Data Analyst
U-Shop International Store | Sep 2023 to Mar 2024
My first role in the UK, working directly alongside the staff of an international supermarket on its supplier, invoice and stock data.
- Processed 16 to 20 supplier invoices a week in Excel, covering data entry, validation and reconciliation against incoming deliveries.
- Flagged discrepancies between ordered and delivered quantities before payment went out, protecting payment dates and correct supplier routing.
- Produced routine stock and invoice summaries and weekly reconciliation reporting for management.
- U-Shop later became an Artim Labs client, and I went on to build their ERP and HR system.
Education History

BSc (Hons) Computer Science
Nottingham Trent University | Sep 2023 to June 2026
Grade: Upper Second Class (2:1). Selected modules: Information & Database Engineering, Foundations of AI & Machine Learning, Artificial Intelligence, Cloud Computing, Advanced Analysis & Design.

Introduction to UK Financial Regulation & Professional Integrity (In Progress)
Certified Institute for Further Accreditation (CIFA) | June 2026 to Present
Currently undertaking this 160-hour certification course covering UK Capital Markets, FCA & PRA regulatory frameworks, Risk Management, Conduct of Business Sourcebook (COBS), and Financial Crime compliance.

All India Senior School Certificate Examination (AISSCE)
Central Board of Secondary Education, KVIS, Ramanathapuram | Jun 2021 to Jul 2023
Grade: 391/500
Bridging Engineering & Intuitive AI
I am a Data Analyst, AI Engineer and Software Engineer, and a BSc (Hons) Computer Science graduate (2:1) from Nottingham Trent University. I specialise in turning raw business data into Decision Ready Insight, and in building AI Agents, Mobile Applications and Cloud Infrastructure.
At PHAT Buns I designed the PhatOps screens in Figma before building them, owning both the design and the engineering, and carried out market research and brand reputation work for the business.
With deep expertise across Python, Java, and TypeScript, I focus on turning complex logical architectures into fluid, production-ready interfaces that load fast, feel responsive, and solve concrete business problems.
From building production RAG pipelines with real-time vector search (pgvector), to time-series forecasting models and mobile deployments, I build software and systems that solve concrete problems. I'm also certified in Microsoft's agentic AI framework (Semantic Kernel), which I'm looking to apply hands-on next.
Agentic AI & LLMs
Designing RAG pipelines (pgvector/Gemini), prompt templates, and custom autonomous agents.
Mobile & Fullstack Dev
Crafting high-fidelity cross-platform apps (React Native, Expo) and reactive web frontends.
Cloud & Infrastructure
AWS serverless architecture, Docker containerization, database optimizations, and secure API backends.
Data & Analytics
SQL analysis, Power BI dashboards, time series forecasting, and turning raw business data into decision ready insight.