Computer Science Postgraduate | Systems Architect | Performance Engineer
Exploring programming paradigms, systems architecture, and mathematical foundations where chaos and order intersect. Passionate about building from first-principles and understanding through hands-on implementation of complex systems.
Engineered C#/.NET application with RESTful API integration using Flask microservices. Designed fault-tolerant system processing 10,000+ daily transactions with 99.9% uptime, achieving zero data loss through transactional integrity.
Built scalable data integration platform connecting SAP Cloud APIs to Oracle Data Warehouse. Achieved 60% query performance improvement and 25% reduction in data processing latency through database optimization strategies.
Developed microservices architecture using Flask REST APIs on AWS S3. Reduced operational overhead by 40% through process automation and API integration.
Implemented advanced Oracle SQL optimization techniques including partitioning strategies and query execution plan analysis, achieving 5% improvement in shop floor turnaround time.
High-performance chaotic dynamical system visualization achieving 100+ FPS with 15,000+ trajectory points. Represents 30-100× performance improvement over Python prototype through native C++ OpenGL implementation.
ROS2-based autonomous navigation system with sensor fusion and path planning algorithms, implementing SLAM mapping and obstacle avoidance with 95% navigation accuracy.
Built and deployed a quantised CNN→SNN epilepsy-detection pipeline on physical BrainChip AKD1000 silicon. Under chronological leave-one-patient-out (LOPO) protocol achieved 0.59 mean event sensitivity, 4.00 FP/hr, 0.866 specificity at ~0.906 µJ/inference chip-level energy cost.
High-efficiency automated fact-checker using novel counter-claim generation framework with Semantic Role Labeling and dependency parsing.
Distinction (Expected)
Module Results:
Dissertation: Neuromorphic EEG Seizure Detection (1:1) — github.com/samidR25/dissertation
Final Classification: 2:1
Industrial Placement: Digital Technology Placement at GE Aerospace (Jul 2023 – Aug 2024)
4 A-Levels and 11 GCSEs (A*–C)
Including Mathematics: A*
Coordinated quarterly charitable initiatives including hands-on allotment clearance for men's mental health charity, leading cross-functional team communication across business units.
Led multidisciplinary team developing "SightSense" AI-powered smart glasses for visually impaired individuals, creating technical architecture and privacy framework.
Led team of 6 developing text-based adventure game, managing complete project lifecycle from conception to implementation with version control and agile methodologies.