Solo’s Profile
2024 – Present
Research assistant at Smart Greenhouse
(ISSE Dept), DIGIT – Center for Digital Technologies, Goslar, Germany
○ Optimized greenhouse automation performance by fine-tuning Python scripts, leveraging advanced debugging techniques.
○ Applied supervised and unsupervised learning techniques to analyze sensor data, enabling predictive analytics and anomaly detection in real-time systems
○ Developed custom classifiers in OpenCV, enabling automated plant recognition and categorization.
○ Implemented (CNNs) for image classification and object detection, improving precision in identifying plant health anomalies.
○ Created and maintained comprehensive GitHub repositories, reducing code search time by 25% and improving team collaboration.
○ Optimized scripts to follow best practices, while regularly updating changes and improvements in Git for version control.
○ Reviewed, debugged, and improved existing code, focusing on efficiency and functionality.
○ Organized and managed cable setups to ensure all systems were properly connected and functioning from the start.
○ Utilized Git for version control and collaborative development, managing branching strategies, conflict resolution, and automated CI/CD pipelines.
2023 – 2024
Software engineer and data analysts
TU Clausthal, Clausthal, Germany
○ Configured Raspberry Pi systems with Python-based camera integration, achieving 30% faster system response times.
○ Developed robust Python-based control systems using OpenCV and PySerial, enhancing system reliability and responsiveness by 30
○ Optimized Spark SQL queries on Databricks for big data analysis, resulting in a 3x improvement in processing speeds for machine learning feature extraction.
○ Designed and implemented real-time autofocus algorithms, enhancing image clarity by 50% through advanced image processing and object detection techniques, resulting in higher system performance.
○ Froze first 13 layers to retain low-level feature extraction.
○ Added GlobalMaxPool2D, Batch Normalization, Dropout, and Dense layers for classification.
○ Integrated Softmax activation for multi-class output and adapted neural networks for regression tasks.
○ Designed and implemented real-time autofocus algorithms using deep learning, enhancing image clarity by 50% through advanced image processing and object detection techniques.
○ Applied V-model for rigorous software development and testing, reducing defect rates by 20% and ensuring high-quality deliverables.
○ Implemented Python unit tests using frameworks such as PyTest and Unittest to ensure code reliability and maintainability across various projects.
○ Developed and implemented a data transmission channel using Python, improving data transfer efficiency by 40% and enabling real-time weather data analysis.
○ Created an advanced display system for 3D point cloud visualization using Python, enhancing data visualization capabilities by 60%, leading to better analysis and decision-making.
○ Analyze the existing datasets to identify patterns, trends, and outliers.
○ Modernized the access/programming interface/API of individual TUC weather station sensors and visualized data in Grafana, reducing data processing time by 50% and improving usability.
2021 – 2022
Head of Software Engineering and Data Analytics
,IHD, Dubai, UAE
○ Enhanced data interoperability by integrating DHA HASANA system using Kafka and NiFi, reducing processing time by 40%.
○ Migrated and upgraded hospital IS database from Oracle to Postgres, ensuring 50% better performance and data reliability, which improved overall system efficiency.
○ Led the development of automated testing frameworks for Python-based systems, achieving 95% test coverage and reducing production issues by 30%.
○ Designed and implemented a redundant SQL database architecture for Oracle and MySQL, ensuring 99.9% data reliability and availability, minimizing data loss and downtime.
○ Designed real-time dashboards in Qlik Sense & Oracle BI with KPIs such as revenue metrics, enhancing decision-making by 30%.
○ Developed Expert Systems for automated medical diagnosis recommendations, improving clinical decision-making efficiency by 30%.
○ Implemented Fuzzy Logic Systems to improve patient data classification and optimize hospital resource management.
○ Applied Knowledge-Based Systems to automate fraud detection in insurance claims, reducing fraudulent activities by 20%.
○ Conducted data mining and visualization using BI tools like Qlik Sense, Power BI, and Oracle Data Visualization, identifying anomalies and clusters, leading to a 20% improvement in data insights and decision-making capabilities.
2014 – 2022
IT Manager
IHD, Dubai, UAE
○ Spearheaded the integration of DHA Hasana system using API-based workflows, reducing data errors by 30% and ensuring compliance.
○ Collaborated with cross-functional teams in Agile environments to develop realtime analytics solutions including sprint planning, retrospectives, and delivering incremental features.
○ Integrated HIS with financial applications via custom middleware, enhancing financial accuracy by 35% and streamlining audits.
○ Implemented RCM software system, enhancing revenue cycle management efficiency and reducing billing errors by 20%, resulting in improved revenue management.
○ Achieved EMRAM score six at HIMSS by implementing cutting-edge health information systems, enhancing healthcare service quality and operational efficiency.
○ Directed the hospital’s transition to paperless workflows using digitization and cloud storage solutions, reducing paper use by 90%.
2014–2020 Software System Engineers
IHD, Dubai, UAE
○ Developed and deployed an intelligent SMS-marketing solution, increasing patient engagement by 25% through targeted and efficient communication strategies.
○ Deployed HIS system leveraging automation frameworks like Selenium and API integrations, reducing task time and increasing revenues by $20M in the first year.
○ Reduced outpatient waiting times by 80% by implementing EID smart card systems integrated with HIS using HL7 standards, improving patient satisfaction.
○ Integrated medical equipment with HIS using HL7 protocol, improving data accuracy by 30% and streamlining clinical workflows, resulting in better patient care.
○ Optimized processes across all hospital workflows including medical, HR, Doctors workbench, Nursing, Pharmacy, CRM, and Inventory, resulting in a 25% increase in overall operational efficiency and cost savings.
○ Standardized HR workflows including personnel tracking and attendance, improving HR operations and efficiency by 20%, resulting in better employee management.
○ Applied V-model methodologies to ensure robust software architecture and rigorous testing for embedded systems projects.
○ Implemented first-time registration system using vein pattern recognition, enhancing security and efficiency by 40%, ensuring faster and more secure patient identification.
○ Developed complex SQL queries for ETL workflows, optimizing joins and indexes to improve query performance by 40
○ Designed and implemented complex workflows by integrating SharePoint, InfoPath, and SQL, improving data management efficiency by 25%, leading to better workflow automation and data handling.
○ Delivered cross-functional projects by implementing Agile frameworks, utilizing work breakdown structures, and mitigating risks to ensure on-time, on-budget delivery.