Usama Baig Email & Phone Number

Lahore, Punjab, Pakistan

• Directed a team of 9 people to develop the digital lending platform with a focus on scalability, security, reliability, and availability. • Constructed an Entity Relationship Diagram (ERD) for the product. • Collaborated remotely with a team of over 25 developers, boosting team productivity by 15% through the facilitation of bi-weekly virtual meetings. • Managed and resolved over 80 customer issues and 5+ p1 incidents, achieving a 50% reduction in incident response time. • Utilized Java, Django, and Test Driven Development to ensure 90% code coverage for the landing site. • Architected, developed, and orchestrated data pipelines for batch data processing using AWS Step Functions & Airflow, reducing 50% data latency. • Engineered Python (Django) REST APIs to integrate machine learning models and expose them through API endpoints for real-time predictions. • Proficient in authoring SQL Queries, Stored procedures, functions, packages, tables, views, and triggers using RDBs. • Diagnosed and optimized performance issues in stored procedures, leading to a 50% improvement in query execution time. • Successfully migrated data for over 1M+ customers from Oracle DB to AWS RDS (PostgreSQL), ensuring data integrity and privacy. • Deployed Celery and RabbitMQ for data ingestion and leveraged Amazon S3 for data storage, providing a robust and scalable solution.

Lahore, Pakistan

• Collaborated with Banking Executives, Cross-functional teams, and third-party entities increasing project efficiency by 20%. • Architected and deployed back-end components of a web application, crafting and customizing RESTful services using JAVA and the Jersey API. • Operated as a production support engineer, slashed response time by 30% over 6 months, orchestrated over 100 deployments and patches. • Engineered a resilient and scalable API infrastructure serving a volume of 10,000+ RPS, while achieving an average response time of <100 ms. • Enhanced the performance of a KnockoutJS and Java-based dashboard by 30%, serving a user base of 1.2M customers. • Boosted system availability from three 9s to four 9s, enhancing system reliability. • Utilized data analysis to yield actionable insights and pinpoint critical performance bottlenecks, resulting in a 40% reduction in downtime. • Leveraged WebLogic for containerization and employed JMSQueue for queuing services. • Adopted MongoDB to store logs and application insights, culminating in a 60% reduction in storage costs. • Constructed a test suite and incorporated JaCoCo for detecting code coverage. • Opted JMeter for stress testing, enabling the system to efficiently manage up to 10,000 concurrent users.

Master'S Degree, Electrical And Computer Engineering

Specializing in Artificial Intelligence and Machine Learning Thesis: Engineered an AI-driven, agent-based simulation model for Central Bank.

Bachelor Of Engineering - Be, Computer Software Engineering, 3.53

Intermediate, Mathematics, 93.18%

Matriculation, Science, 96.00 %