Mohammed Ali
AI Software Engineer & Machine Learning Systems Architect
01 // Executive Profile
AI Software Engineer and Systems Researcher holding an MSc in Advanced Computer Science (Distinction) from the University of Strathclyde. Proven expertise architecting Enterprise Master Patient Index (EMPI) systems, multi-agent RAG knowledge engines with LangGraph and Azure AI Foundry, and scalable distributed data integration pipelines. Focused on identity resolution, system determinism, and high-assurance ML engineering.
02 // Technical Competencies
LANGUAGES & APIS
Python, FastAPI, Django, SQL, C / C++, TypeScript, Bash
AI & AGENTS
LangGraph, LangChain, Azure AI Foundry, PyTorch, TensorFlow, RAG, GANs
DATA & CLOUD
Azure Data Factory, Databricks, PySpark, Azure Data Lake, Docker, Kubernetes
DATABASES & STORAGE
PostgreSQL (pgvector), MySQL, MongoDB, ChromaDB, CosmosDB, MSSQL
03 // Professional Experience
AI Software Engineer II
March 2026 — Present
PlanetDDS — Glasgow, United Kingdom
- Architecting and building a centralized Person record system acting as an Enterprise Master Patient Index (EMPI) across all company-owned software products.
- Designing the system architecture to unify and reconcile patient identities at enterprise scale across disparate dental software platforms with differing schemas and varying data quality.
- Delivering the foundational data layer for DentalOS, the company's new AI-first platform, enabling intelligent cross-product patient experiences and automated record deduplication.
- Translating complex technical architecture into commercially viable outcomes that directly support the company's broader AI platform strategy in a high-autonomy engineering team.
Data Scientist / Analyst
November 2024 — March 2026
Target Healthcare Limited — Glasgow, United Kingdom
- Engineered a bespoke internal agent hosted within the corporate VPN using LangGraph, LangChain, Azure AI Foundry (OpenAI), Chainlit, and FastAPI, integrating multi-source RAG capabilities.
- Developed an autonomous ReAct loop to assist Quality Assurance officers in drafting Standard Operating Procedures (SOPs) based on MHRA regulations and internal historical compliance records.
- Consolidated multi-site Quality Management System (QMS) data into a centralized Azure Data Lake using Azure Data Factory and Databricks (PySpark) for unified enterprise reporting.
- Designed and maintained standardized Power BI dashboard frameworks for executive QMS telemetry, and supported ERP dashboard migration from on-premises to SaaS infrastructure.
Laboratory Demonstrator (CS412 & CS824)
February 2024 — January 2025
University of Strathclyde — Glasgow, United Kingdom
- Provided hands-on machine learning laboratory instruction and assignment guidance for undergraduate and postgraduate cohorts.
- Evaluated coursework and provided rigorous, constructive feedback on statistical learning, neural networks, and model evaluation protocols.
Applied Data Scientist (Technical Lead)
April 2023 — December 2023
MAMA AI — Remote
- Developed and deployed an end-to-end data science platform for drug discovery acceleration; streamlined high-throughput scraping (Selenium, Playwright, Scrapy), automated ETL/ELT pipelines, and delivered an interactive Streamlit UI, achieving a 30% reduction in processing latency.
- Created a cloud-based conversational assistant PoC leveraging OpenAI, Gemini, and LangChain on Azure Cloud for manufacturing operational efficiency.
- Engineered backend media generation pipelines with Stripe payment gateway integration for commercial video generation workflows.
AI Researcher
August 2021 — March 2023
MAMA AI — Prague, Czech Republic
- Deployed and maintained personalized recommendation and push notification ranking systems for a social media platform with 1M+ users, increasing engagement by 60% (verified via A/B testing).
- Maintained containerized ML microservices utilizing Docker, Kubernetes, Jenkins, and SQL/NoSQL databases.
- Built an acoustic speaker identification system using SpeechBrain and interactive voice systems using Rasa NLU.
Robotics Research Scholar
January 2022 — June 2022
Center of Robotics & Autonomous Systems / Škoda Auto — Prague
- Collaborated with Škoda Auto on an autonomous vehicle lifting system for post-manufacturing factory logistics.
- Reconstructed realistic factory environments from 3D point cloud scans and modeled high-fidelity Gazebo physics environments to validate self-learning autonomous control algorithms.
04 // Research & Scholarly Works
Ali, M. (2024). "Generative Adversarial Networks (GANs) for Cloud Removal in Satellite Imagery." Master's Dissertation, University of Strathclyde. Awarded Distinction; peer-reviewed journal submission in preparation.
Ali, M. (2023). "Voice-Based Biometric User Validation via Deep Speaker Recognition." Bachelor's Thesis, Czech Technical University in Prague. Conducted in collaboration with MAMA AI.
SpeechBrain • Acoustic Embeddings • Biometric Verification
05 // Education & Honors
Master of Science in Advanced Computer Science — Distinction
University of Strathclyde — Glasgow, United Kingdom • International Scholarship Recipient
Bachelor of Electrical Engineering and Computer Science — GPA 2:1
Czech Technical University in Prague — Prague, Czech Republic