# Alex Javadi, RITTech Advanced MBCS > BSc Student Computer Science & Research Assistant @ Brunel | Software Engineer @ Mory Accelerator | Backend Engineer | Distributed Systems, System Design, Scalable APIs & Cloud Infrastructure Location: London Area, United Kingdom, United Kingdom Profile: https://flows.cv/alexjavadirittechadvancedmbcs Software & ML Engineer focused on backend systems, distributed architectures, and real-world machine learning. I currently work across both industry and research, contributing to scalable backend systems and infrastructure at Mory Accelerator, while also working as a Research Assistant at Brunel University London on microservice architecture recovery and analysis. My experience includes building and scaling production systems, including a real-time bidding platform handling 25M+ daily requests, developing cloud-native APIs and infrastructure for start-ups, and improving ML pipelines for deployed AI solutions in industry. At Brunel, my work focuses on analysing microservice-based systems and improving tooling that transforms implementation-level artefacts into architectural models, bridging practical engineering with research-driven approaches. I enjoy working on systems that operate at scale, require thoughtful design, and have measurable impact. Technical focus: - Distributed systems and microservices architecture - Backend development and system design - Cloud infrastructure, Docker, and CI/CD - Applied Machine Learning (Computer Vision) ## Work Experience ### Software Engineer @ Mory Accelerator Jan 2025 – Present | London Area, United Kingdom As part of Mory’s technical team, I support early-stage start-ups by developing software solutions and contributing to system design and infrastructure across the accelerator’s portfolio. Key Contributions: - Worked closely with development teams to design and implement backend services, APIs, and data structures tailored to fast-moving start-up environments. - Assisted in shaping technical architecture for MVPs, ensuring systems are scalable, maintainable, and ready to grow. - Helped establish CI/CD pipelines, Single Sign-on platform, containerised deployments, and cloud-based infrastructure to streamline development and delivery. - Collaborated with the VP Engineering to maintain consistency and quality across a variety of ventures. - Contributed to shared documentation, internal tooling, and reusable components used throughout the accelerator’s ecosystem. ### Research Assistant (Microservice Architecture) @ Brunel University of London Jan 2026 – Present | London Area, United Kingdom As part of the MiSAR research project under Dr Nour Ali, I contribute to the evaluation and enhancement of a model-driven tool designed to recover architectural models from microservice-based systems. Key Contributions: - Evaluating and testing the MiSAR toolchain across different environments and systems to assess reliability, usability, and reproducibility. - Analysing microservice-based applications to understand how implementation artefacts (e.g. Docker, configuration, environment, code) are transformed into architectural models. - Contributing to tool improvement and development, including implementing fixes, refining workflows, and improving overall user experience. - Exploring and extending the tool’s capabilities to support additional ecosystems such as PHP and Go, beyond its current Java-focused scope. - Identifying architectural and tooling limitations and proposing enhancements to improve integration, scalability, and accessibility. - Collaborating on research-driven development, bridging practical software engineering with model-driven architecture recovery approaches. ### Registered IT Technician (RITTech Advanced) @ BCS, The Chartered Institute for IT Jan 2026 – Present | London Area, United Kingdom ### Professional Member (MBCS) @ BCS, The Chartered Institute for IT Jan 2024 – Present | London Area, United Kingdom ### Applied Machine Learning Engineer @ Veunex Jan 2024 – Jan 2025 | London Area, United Kingdom Building on my internship experience, I continued at Veunex as an Applied Machine Learning Engineer and Technical Representative, supporting the development of AI-based HSE (Health, Safety, and Environment) solutions for oil and gas industry clients. Key Contributions: - Assisted in developing and tuning object detection and image classification models for real-world HSE applications, improving performance and reliability in production environments. - Helped refactor the data pre-processing workflow by connecting previously manual steps into a unified pipeline and enabling parallel execution of tasks, reducing total processing time from around ~two weeks to under 24 hours. - Supported the implementation of data security and privacy measures within the ML lifecycle to align with client and industry requirements. - Collaborated with software and ML teams to integrate AI modules into end-user applications, helping ensure technical work matched business and operational needs. - Participated in client meetings and product demos alongside senior staff, representing Veunex’s AI capabilities to clients such as Petronas, PDO, OQ, and Saudi Aramco Nabors Drilling. ### Machine Learning Engineer Intern @ Veunex Jan 2024 – Jan 2024 | London Area, United Kingdom Contributed to AI-driven HSE (Health, Safety, and Environment) solutions for the Oil & Gas industry, focusing on computer vision, data optimisation, and automation. Key Contributions: - Refined object detection and image classification algorithms, improving model accuracy for HSE applications. - Streamlined data pre-processing pipelines, increasing efficiency and automation across AI workflows. - Optimised data storage for speed and volume efficiency, implementing compression, deduplication, and data lifecycle management. - Collaborated with cross-functional teams to integrate AI models into real-world safety solutions for industry leaders such as Petronas, PDO, OQ, and Saudi Aramco Nabors Drilling. ### Software Engineer @ Daart ADS Jan 2023 – Jan 2024 | London, England, United Kingdom Transitioned into a software engineering role after contributing to backend systems and ad-tech projects. Worked on building real-time bidding infrastructure and improving how the platform connects with global demand and supply partners. Key Contributions: - Contributed to the design and development of Daart ADS’s first Real-Time Bidding (RTB) system, scaling it to handle 25M+ daily requests. The system was built on OpenRTB 2.5, with key components including auction logics and win handling. - Implemented features like AI-driven bid scoring to estimate optimal pricing based on historical performance, user context, and supported asynchronous sub-auctions to prioritise high-value seats or category-specific inventory in real time. - Advised on backend architecture and performance tuning, working closely with senior engineers to optimise latency, throughput, and system reliability under heavy load. - Helped expand DSP and SSP integrations to over 250 global partners, primarily in the Middle East, leading to a 25% increase in revenue and improved bidding competitiveness. See it live at: https://daartads.com/services/in-app-advertising/ ### Solutions Engineer @ Daart ADS Jan 2023 – Jan 2023 | London, England, United Kingdom Promoted to Solutions Engineer after a successful internship, focusing on client-driven enhancements and tailored ad-tech solutions. Key Contributions: - Designed customised solutions by directly engaging with clients, aligning product features with business needs and technical requirements. - Collaborated with design and development teams to implement user-centric features and optimise platform usability. - Analysed market trends to propose and introduce new features, enhancing platform competitiveness in the ad-tech space. ### Software Engineer Intern @ Daart ADS Jan 2022 – Jan 2023 | London, England, United Kingdom Interned at Daart Digital Agency UK, contributing to the development and optimisation of Daart ADS, one of the leading ad impression providers in the Middle East, serving 120M+ impressions daily. Key Contributions: - Implemented the automated database backup pipeline, ensuring data integrity and disaster recovery. - Designed and deployed a data security pipeline, improving privacy and compliance across ad transactions. - Managed and optimised large-scale databases, ensuring high availability and performance. - Maintained 24/7/365 API service uptime, supporting real-time ad exchanges and external bid processing. - Assisted in streamlining ad delivery workflows, enhancing efficiency and reliability across the platform. ## Education ### Bachelor of Science - BSc in Computer Science (Software Engineering) Brunel University of London ### National Extended Diploma in Information Technology Newham College of Further Education ## Contact & Social - LinkedIn: https://linkedin.com/in/aljm - Website: https://aljm.org - Website: https://mory.co.uk --- Source: https://flows.cv/alexjavadirittechadvancedmbcs JSON Resume: https://flows.cv/alexjavadirittechadvancedmbcs/resume.json Last updated: 2026-04-05