Mohid Rizwan

Architected distributed data systems in Java and Python processing millions of events daily, and built batch and streaming pipelines with Apache Spark and Airflow on AWS EMR, improving processing efficiency by 45%. Optimized data storage and query performance across S3, DynamoDB, and Elasticsearch, and implemented infrastructure as code and CI/CD pipelines.

Implemented idempotency keys and crash-safe wallet reservations for on-ledger issuance, and built LLM-powered document analysis with Claude on AWS Bedrock and Textract OCR. Developed Node.js/TypeScript microservices for auth, onboarding, funds, assets, KYC, compliance, and notifications on MongoDB, and managed AWS and Cloudflare infrastructure in Terraform.

Built and maintained ETL pipelines and data workflows, and developed backend systems in Java and Python supporting data analytics platforms. Designed REST APIs and microservices, and implemented CI/CD pipelines, improving release efficiency by 40%.

Developed data processing systems and optimized performance, reducing latency by 30%. Built backend services and APIs supporting data-driven applications, and integrated cloud services for scalable architectures.

Completed 1,000+ hours of intensive hands-on training in full-stack development, DevOps workflows, and system automation.

B.S. in Computer Science with coursework in Operating Systems, Network Security, Database Systems, and Software Engineering.

Bachelor's Degree in Computer Science.