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Sahadh Fazal Mohamed
Software Engineer | AI Engineer | Data Analyst
I build
digital experiences.
Bridging
design & engineering.
Scroll to explore projects ↓
Featured Projects
Bridging Design & Engineering
Client Work

PhatOps
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, high-performance cross-platform app.

TRUKBK
High-performance vehicle configurator and a highly accurate AI Sales Concierge 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.

Restaurant Analytics
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.

Arasan Travels
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.
Engineering and Academic Projects

AI Developer Insights Platform
A complete data science pipeline using the CRISP-DM framework to analyse the 2024 Stack Overflow Developer Survey. Cleans and explores a large survey dataset, segments respondents into developer personas using K-Means clustering with PCA for dimensionality reduction, then compares supervised classifiers combined into an ensemble voting classifier.

CycleNest API
High-performance cloud-integrated REST API built for bike-sharing logistics, with low-latency route calculations, self-healing fallbacks, and Azure Cosmos DB storage. It maintains high availability through an automated active failover pattern to local in-memory stores during cloud database timeouts.

Car Logo Classifier & Intelligent Assistant
AI assistant combining computer vision (VGG19) for image recognition with logical reasoning and semantic search for accurate answers. It handles open conversational Q&A while maintaining strict logical consistency, and returns high-confidence logo classifications.

CePTFlow Intelligence Suite
Inventory Forecasting Platform combining Holt-Winters time-series forecasting with interactive Plotly dashboards for real-time stock insight, and AI Assistant to transform retail inventory decisions. It eliminates waste and maximizes volume by turning historical sales records into strategic foresight.

Distributed Cluster Administration Hub
Secure multi-tenant administration dashboard designed for containerized cluster management, orchestrating multiple decoupled SSH file servers, database servers, and a high-availability network load balancer. It features strict role-based access control and cryptographic PBKDF2 hashing for enterprise-grade security.

C++ GPS Journey Test Suite
An automated, high-performance unit testing suite built in C++20 for a GPS journey analysis application. Utilizing the Boost Unit Test Framework, it rigorously validates edge cases and timing conditions to uncover hidden software defects.

NTU Academic Timetabling System
High-performance scheduling engine built in C++ utilising recursive backtracking and heuristic constraints to optimise academic room allocation and student timetables. It parses relational structural files and tackles an NP-complete scheduling problem efficiently using Maximum Constraints First heuristics.

SlipStack
Native Android expense tracker and receipt parser utilising Google ML Kit OCR and Jetpack CameraX, with local Room databases and Firebase synchronization. It features a custom geometric bounding-box algorithm to accurately reconstruct lines and extract financial data from unstructured physical receipts.

FF Smart Fridge
Native Android IoT-connected grocery management and food safety tracking application utilising CameraX barcode scanning, SQLite/Room persistence, and Firebase database synchronization. It automates HACCP compliance logging and generates predictive restocking lists to reduce commercial food waste.
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

Mastered 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

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

Mastered 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.

UK Financial Regulation & Professional Integrity (In Progress)
CIFA
Currently undertaking this 160-hour professional certification covering UK financial regulation, FCA & PRA regulatory frameworks, conduct standards (COBS), risk management, and financial crime compliance.
Work History

Co-Founder and Lead Developer
Artim Labs — Jan 2026 – Present
Co-founded a UK studio building websites, apps, bespoke software, third-party integrations, HR and operations systems for growing businesses. I lead engineering; my co-founder leads 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 – 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.
The reconciliation work mattered most commercially: a booking system nobody trusts financially doesn't get used, however good the front end looks.

Application Developer & Store Assistant
PHAT Buns UK — Apr 2024 – Dec 2025
Started on the shop floor managing daily store operations and high-volume customer service, which is where I first noticed the gap this role was built to close.
- Worked the kitchen-to-counter workflow directly and identified where orders were getting lost, delayed or mismatched between kitchen and till, rather than assuming what the problem was from outside.
- Engineered PhatOps, a custom operations app handling real-time order tracking and staff authentication, built to solve those specific bottlenecks rather than as a generic dashboard.
- Architected the full-stack solution in React, TypeScript, Tailwind CSS and Supabase, with real-time sync so a change made at one station is reflected everywhere immediately.
- Reduced rendering latency by 20% through optimised reusable components and tuned Supabase real-time subscriptions, which mattered directly on the shop floor: a slow screen at the counter during a rush is a queue forming behind it.
- Now used daily by 20 staff across 4 branches, with rollout planned for 16 further sites.
Being on the floor first was the useful part. I wasn't guessing at requirements from a spec document; I was watching the actual failure happen and building the fix for it.

Student Representative
Nottingham Trent University — Sep 2023 – 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.
This was the first role where I had to turn what a group of people vaguely wanted into something specific a decision-maker could act on, which turned out to be most of what requirements gathering actually is.

Retail Assistant and Administrative Support
U-Shop International Store — Sep 2023 – Mar 2024
My first role in the UK, split between the shop floor and the back office of an international supermarket.
- U-Shop later became an Artim Labs client, and I went on to build their ERP and HR system.
- Processed 16-20 supplier invoices a week in Excel: data entry, validation and reconciliation against incoming deliveries.
- Flagged discrepancies between what was ordered and what arrived before payment went out, protecting payment dates and preventing suppliers being paid incorrectly.
- Produced routine stock and invoice summaries for management from the reconciled data.
- Provided front-of-house customer support during trading hours alongside the admin work.
This is where I first saw how much of a business runs on spreadsheets nobody has time to check properly, which is a straight line to the data and BI work I do now.
Education History

BSc (Hons) Computer Science
Nottingham Trent University — Sep 2023 – 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 – 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 – Jul 2023
Grade: 391/500
Bridging Engineering & Intuitive AI
I am a Software Engineer, AI Developer, and Data Analyst — and a BSc (Hons) Computer Science graduate (2:1) from Nottingham Trent University. I specialise in building high-performance Mobile Applications, autonomous AI Agents, scalable Cloud Infrastructure, and turning raw business data into Decision-Ready Insight.
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 — and I'm 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.