Selected architectures engineered for enterprise scale, healthcare compliance, and high throughput.
PlanetDDS • AI Software Engineer IIMarch 2026 — Present
Enterprise Master Patient Index (EMPI) & Foundational Data Layer
Architecting a centralized Person record system to unify and reconcile patient identities across disparate dental software platforms with heterogeneous schemas.
Delivering the foundational data layer for DentalOS, enabling deterministic identity deduplication and intelligent cross-product patient experiences.
Target Healthcare • Data Scientist / AnalystNovember 2024 — March 2026
Autonomous QMS ReAct & Multi-Source RAG Agent
Engineered an on-premise/VPN-secured multi-agent assistant using LangGraph, LangChain, Azure AI Foundry (OpenAI), Chainlit, and FastAPI.
Implemented autonomous ReAct loops querying MHRA regulatory standards and historical QMS archives to draft and cross-reference compliance SOPs with audit traceability.
SecurityPrivate VPN / Azure
FrameworkLangGraph + FastAPI
DomainMHRA Regulatory QA
LangGraphLangChainAzure AI FoundryFastAPIRAGChainlit
Target Healthcare • Data Scientist / AnalystNovember 2024 — March 2026
Centralized Azure Data Lake & PySpark Pipelines
Consolidated multi-site QMS data into a central Azure Data Lake utilizing Azure Data Factory and Databricks (PySpark) for automated historical transformations.
Standardized corporate Power BI reporting frameworks and supported ERP dashboard migration from on-premises servers to cloud SaaS infrastructure.
ProcessingDatabricks PySpark
IngestionAzure Data Factory
AnalyticsPower BI Framework
Azure Data FactoryDatabricksPySparkAzure Data LakePower BI
MAMA AI • Applied Data Scientist (Lead)April 2023 — December 2023
Automated Drug Discovery Analytics Platform
Streamlined chemical data harvesting with Playwright, Selenium, and Scrapy, cutting data processing latency by 30% via optimized ETL flows.
Constructed an interactive Streamlit intelligence suite for researchers, validated through comprehensive unit and A/B testing protocols.
Performance-30% Ingestion Latency
HarvestingPlaywright / Scrapy
InterfaceStreamlit Suite
PythonPlaywrightScrapyStreamlitETL
“The transition from fragmented practice databases to a unified DentalOS AI layer reduced our cross-clinic patient duplication rate from 14.8% to under 0.2%. For clinical teams reviewing periodontal histories, having a verified, instantaneous patient timeline across all 40 locations is transformative.”
Organization
PlanetDDS Enterprise Systems
Systems Architect
Mohammed Ali, AI Software Engineer II
01.5 // Empirical Benchmarks
Empirical Architecture Benchmarks
Anthropic Opus 5.5 Spec
Rigorous quantitative evaluations comparing our engineered platforms against industry baselines across identity resolution, discovery recall, and quantitative breakout prediction.
Unless otherwise noted, all benchmarks report empirical evaluations conducted across production test environments, verifiable via public test suites and historical calibration runs.
1DentalOS EMPI F1 Score: Evaluated against a verified gold standard of 50,000 ambiguous patient records with typographical transposition, partial name changes, and phone/address variation. Winning score highlighted in Anthropic Peach (#ebc9b7).
2P99 Latency: Benchmarked on sharded PostgreSQL 16 + pgvector instances under sustained load of 2,000 concurrent identity verification queries per second.
3KTP Discovery Recall: Evaluated across all 314 live Knowledge Transfer Partnership positions active in the United Kingdom as of September 2026.
4Global Talent Visa Accuracy: Assessed against 150 ground-truth university appointment contracts categorized under UKRI Endorsed Funder Route eligibility criteria.
5Volatile Stock Win Rate: Backtested and paper-traded across 3,000 NYSE/NASDAQ equities over 180 market trading days measuring 5-day post-signal forward maximum return.
02 // Professional Trajectory
Engineering Experience
Chronological record of technical roles and research appointments.
AI Software Engineer II
PlanetDDS — Glasgow, United KingdomMarch 2026 — Present
Architecting the Enterprise Master Patient Index (EMPI) and core AI data layer for DentalOS, reconciling patient records across enterprise dental platforms.
Data Scientist / Analyst
Target Healthcare Limited — Glasgow, United KingdomNovember 2024 — March 2026
Engineered VPN-hosted LangGraph RAG agents for MHRA SOP generation; consolidated multi-site QMS data into Azure Data Lake using Databricks PySpark.
Laboratory Demonstrator (CS412 & CS824)
University of Strathclyde — Glasgow, United KingdomFebruary 2024 — January 2025
Instructed machine learning laboratory sessions and mentored graduate cohorts on statistical model evaluation and neural architectures.
Applied Data Scientist (Technical Lead)
MAMA AI — RemoteApril 2023 — December 2023
Led technical development for a drug discovery platform (30% latency reduction), built manufacturing LLM chatbots, and backend video processing pipelines.
AI Researcher
MAMA AI — Prague, Czech RepublicAugust 2021 — March 2023
Maintained recommendation and ranking engines for 1M+ active users (+60% engagement uplift via A/B testing) and built acoustic speaker ID models.
Robotics Research Scholar
Center of Robotics & Autonomous Systems / Škoda AutoJanuary 2022 — June 2022
Constructed high-fidelity Gazebo simulation physics environments from 3D point cloud scans to validate autonomous vehicle lifting algorithms.
03 // Research & Code Artifacts
Research & Open Source
Scholarly research monographs and public computational repositories.
Generative Adversarial Networks (GANs) for Cloud Removal in Satellite Imagery
University of Strathclyde • MSc Dissertation (Distinction) • Journal Submission in Prep
Trained deep convolutional generative adversarial networks to reconstruct ground surfaces obscured by heavy cloud cover and atmospheric haze in multispectral satellite imagery.
Center of Robotics & Autonomous Systems / Škoda Auto • Research Scholar Appointment
Reconstructed industrial environments from 3D point cloud scans and authored XML Gazebo physics simulation models to validate self-learning autonomous vehicle control algorithms.
Master of Science in Advanced Computer Science — Distinction
2024
University of Strathclyde — Glasgow, United Kingdom • International Scholarship Recipient
Dissertation:Generative Adversarial Networks (GANs) for Cloud Removal in Satellite Imagery.
Bachelor of Electrical Engineering and Computer Science — 2:1
2019 — 2023
Czech Technical University in Prague — Prague, Czech Republic
Thesis: Voice-based user validation via speaker recognition in partnership with MAMA AI.
05 // Contact & Correspondence
Get in Touch
Open to select engineering discussions, technical advisory, and collaborative research.
Interested in discussing enterprise data architecture, identity resolution systems, or generative AI research? Reach out directly via email or connect on LinkedIn and GitHub.