عاصم سليمان

• Contributed to the modernization of STCs backend banking application, transforming a
legacy .NET-based monolith into a Java 21 Spring Boot microservices architecture while
supporting critical workflows across remitance, compliance, wallet, payments, KYC, and
customer onboarding.
• Owned the end-to-end compliance module, implementing screening workflows, case
management, escalation flows, and integrations with internal and external sanction
checking systems.
• Integrated SAMA compliance checks, Thomson Reuters World-Check One, internal bank
blacklists, and KYC validation into remitance and customer onboarding workflows.
• Developed integrations with Western Union, Temenos T24, and Mastercard, supporting
remitance processing, core banking interactions, card/payment flows, and secure external
API communication.
• Contributed to digital wallet features including Qatah / split-money and gift transfer
workflows, supporting contribution tracking, user-to-user transfers, transaction validation,
and auditability.
• Designed and implemented Kafka-based event-driven pipelines using the outbox patern
with CDC/Debezium to capture database changes and publish reliable events across
distributed services.
• Implemented idempotency strategies using unique business keys, correlation IDs, and
deduplication checks to prevent duplicate remitance, screening, payment, and external
integration processing.
• Built robust retry and batch reprocessing mechanisms to handle transient failures in
sanction-screening providers, payment networks, and banking integrations while avoiding
duplicate side effects.
• Developed backend services using Java 21, Spring Boot, Spring Security, JPA/Hibernate,
PostgreSQL, Kafka, REST APIs, and SOAP-based integrations.
• Enforced PCI-aligned security practices using OAuth2/JWT authentication, role-based access
control, encryption of sensitive data, audit logging, and HashiCorp Vault for secrets
management.
• Enhanced observability using ELK, Zipkin, and Splunk, enabling centralized logging,
distributed tracing, faster root-cause analysis, and stronger production support.
• Containerized services using Docker and deployed on OpenShift, integrating with GitLab
CI/CD for automated build, testing, quality scanning, image creation, and deployment.
• Improved code quality and security using SonarQube, Veracode, and JaCoCo, enforcing
static analysis, vulnerability checks, and test coverage thresholds.
• Implemented comprehensive testing using JUnit, Mockito, Rest Assured, WireMock, and
Mockoon for unit testing, API testing, external service simulation, and contract-style
validation.
• Performed performance and load testing using Artillery, identifying botlenecks and
improving throughput under concurrent financial transaction loads.

• Delivered a real-time Electronic Health Record (EHR) orchestration platform improving
patient-data interoperability, provider coordination, and clinical decision workflows across
multiple hospital networks.
• Designed and developed Java Spring Boot microservices and Kafka event-driven pipelines
to orchestrate patient registration, encounter updates, and diagnostic data synchronization
between internal and external systems.
• Built React micro-frontends providing clinicians with live patient-record visibility,
appointment tracking, and care-plan management in a unified interface.
• Standardized state management using Redux Toolkit and React Query, reducing redundant
network calls and improving EHR dashboard responsiveness.
• Optimized PostgreSQL queries and Redis caching on AWS RDS, improving patient-record
retrieval latency by 35 % under concurrent access loads.
• Secured protected-health-information (PHI) APIs with Spring Security (OAuth2/JWT) and
HIPAA-aligned encryption and access-control mechanisms.
• Enhanced observability with Elasticsearch and Amazon CloudWatch, enabling real-time
anomaly detection and compliance-event auditing.
• Automated infrastructure provisioning using Terraform, Docker, EKS, and OpenShift,
integrated with Jenkins CI/CD pipelines for consistent deployments across environments.
• Implemented comprehensive unit and integration testing using JUnit, Mockito, and Rest
Assured, with Karate-based automated API regression ensuring reliability across EHR
microservices.
• Integrated Splunk for centralized log aggregation and real-time monitoring, creating custom
dashboards and alerts to track microservice health, API latency, and system anomalies

• Led mission-critical defense communication software operations, overseeing requirements gathering, on-premises deployments, and production support for secure real-time communication systems.
• Designed and developed Java Spring Boot microservices for defense communication orchestration, enabling encrypted signaling, call routing, and real-time event streaming across command-and-control units.
• Built RESTful APIs and Kafka-based pipelines to handle operational telemetry and inter-unit data synchronization with low latency and high fault tolerance.
• Integrated SIP and RTP protocols for secure voice and data transmission, with PostgreSQL, MS SQL and Redis providing resilient state management and caching layers.
• Deployed microservices to on-premises defense servers using Docker and OpenShift, ensuring controlled rollout, redundancy, and observability through Elasticsearch and CloudWatch monitoring.
• Directed an AI-based radar-track prediction project to forecast fighter-jet trajectories during radar-signal loss caused by terrain masking or electromagnetic interference.
• Engineered LSTM and Kalman-filter models in TensorFlow/scikit-learn for trajectory reconstruction, integrating predictions into live radar systems for real-time situational awareness.
• Authored detailed system-architecture and operational documentation (UML, Visio, Enterprise Architect) ensuring smooth maintenance, compliance, and mission readiness.

• Engineered end-to-end ETL data pipelines on AWS stack using Lambda, Glue, CDK,
CloudFormation, S3, and DynamoDB to automate data ingestion and transformation.
• Implemented Apache Iceberg-based data lake architecture integrated with AWS Athena and
Snowflake Data Warehouse for scalable analytics and historical querying.
• Designed and maintained data schemas and partitions for high-volume product datasets
enabling efficient batch and streaming access.
• Developed AI/ML models with scikit-learn and TensorFlow to derive product insights and
performance forecasts using ensemble-learning techniques.
• Conducted model training, tuning, and evaluation for foresighting product trends and
supporting strategic-planning decisions.
• Built and deployed Django-based backend services exposing APIs for model outputs and
analytics.
• Utilized MongoDB for scalable document storage and retrieval, designing optimized indexes
and aggregation pipelines to support high-volume transactional and analytics workloads.
• Developed React dashboards for visualization of KPIs, forecast metrics, and AI-derived
insights, integrating with Django REST endpoints.
• Automated CI/CD deployments for ETL and ML components using Docker and Jenkins,
improving delivery reliability and observability.