• Engineered a high-throughput data collection platform using Java 17 and Spring Boot to capture multi-modal datasets, enabling the ingestion of 5TB+ of monthly audio/video data with a 99.9% file integrity rate.

• Developed metadata validation engines with Spring Boot and PostgreSQL to enforce strict schema checks on media codecs and sample rates, reducing "garbage" data in downstream ML pipelines by 40%.

• Architected a real-time workflow tracking system using Redis and WebSocket’s, automating status updates for 10,000+ daily tasks and reducing manual reporting overhead by 60%.

• Optimized media processing pipelines by implementing Spring Batch and fine-tuning JVM heap settings, which reduced API latency by 35% and stabilized memory usage during peak ingestion.

• Implemented robust cloud monitoring using Prometheus, Grafana, and AWS SNS to track processing errors, decreasing the Mean Time to Recovery (MTTR) by 50%.

• Secured sensitive media assets by designing a retrieval mechanism using AWS Presigned URLs and RBAC, ensuring 100% compliance with data privacy standards for over 1 million assets.

• Collaborated on cross-functional API contracts to standardize JSON-based annotation schemas, reducing integration rework between engineering and AI teams by 25%.

• Scaled platform infrastructure by migrating legacy components to a containerized Microservices architecture on AWS EKS, successfully supporting a 100% increase in concurrent user traffic.

• Developed a Legal Services Intake & Case Management Platform using Spring Boot and MySQL, digitizing the parent attorney

onboarding and reducing manual intake processing time by 45%.

• Implemented an attorney-client matching engine inspired by aggregator design patterns, integrating multiple pro-bono attorney and law school databases via REST APIs to enable real-time search and automated matching.

• Built a secure intake workflow with Spring Security, role-based access control, and encryption, ensuring sensitive legal case data was compliant with privacy and security standards.

• Designed reporting dashboards with Excel/CSV export functionality for board members and donors, improving transparency in case progress and attorney contributions.

• Engineered highly scalable microservices with Spring Boot and Spring Cloud Config, supporting >100K daily customer feedback submissions across EMEA, improving system reliability and modularity.

• Designed and implemented RESTful APIs for real-time feedback ingestion, reducing response latency by 30% and achieving 99.9% service availability.

• Optimized MySQL queries and Spring Data JPA interactions, cutting database processing time by 25% for large-scale reporting and analytics.

• Automated end-to-end deployment pipelines using Jenkins CI/CD reducing release cycles from weekly to bi-weekly deployments by 20%.

• Collaborated with business stakeholders to translate complex SRS documents into actionable features, improving system usability and reducing user-reported issues by 15%.

• Monitored, debugged, and tuned applications in Eclipse IDEA, ensuring high-performance, production-grade deliverables.