Bisma Khomeini

Senior Software Engineer & Technical Lead. Specializing in High-Performance Backend Systems, Cloud Infrastructure, and AI Integration.

Singapore

About

I am a developer who loves building things that live on the internet. I specialize in building accessible, inclusive products and digital experiences.

Work Experience

SMBC Group

2024 - Present

Senior Software Engineer

Singapore

Delivered high transaction overhead for international payments via SWIFT and WISE by engineering an automated adjustment engine for real-time routing, leading to $250K in recurring monthly cost savings.
Arranged resource utilization in Visa VCAS subscriptions, deployed a Bin Packing algorithm to dynamically optimize user tier allocation, resulting in a $1.2M reduction in total expenditures by the end of Q4.
Addressed legacy electronic card systems suffering from 10-second processing lags by redesigning the microservice architecture using Golang and Ruby, boosting system efficiency by 44% and cutting transaction times to 2.2 seconds.
Managed 85+ microservices across a fragmented multi-cloud infrastructure by implementing mechanized Terraform and Kubernetes workflows, resulting in a 66% reduction in deployment time and increased environment stability.
Decreased server response times by 70% as weighed by latency metrics, by orchestrating advanced Redis caching mechanisms for traffic loads exceeding 15,000 RPS.
Boosted developer productivity by 33% as quantified by implementation speed, by engineering and deploying scalable GraphQL endpoints for client-side data accessibility.

Morgan Stanley

2023 - 2024

Software Engineer

Singapore

Processed 1M daily treasury records for computerized reporting by engineering high-throughput pipelines using Golang and AWS Glue, which reduced overall data processing time by 50%.
Improved decision-making for high-stakes transactions valued up to $1B by integrating advanced modelling tools and optimizing machine learning algorithms, achieving a 76% increase in predictive accuracy.
Grew user engagement by 60% as calculated by platform analytics, by upgrading a self-service profit & loss strategy platform for stakeholders.
Decreased machine learning inference time by 44% as assessed by runtime logs, by optimizing algorithms to process 1M+ data points in under 2 hours.

Praktis

2022 - 2023

Software Engineer

Jakarta, Indonesia

Mitigated unsustainable operational costs and data fragmentation across GCP and AWS by managing the migration of 500TB of product data to Alibaba Cloud, saving 30% in annual costs and improving service uptime to 65%.
Resolved critical vulnerabilities and met ISO 27001 compliance standards by remodelling deployment workflows and automating security testing protocols, improving organizational security ratings by 30% within six months.
Lowered deployment time by 87% as measured by CI/CD throughput, by implementing standardized Terraform modules and Kubernetes automation for 500+ microservices.
Increased transaction speed by 59% as quantified by processing logs, by developing a high-performance microservice application utilizing Golang and Java.

Impact (B2B Startup)

2021 - 2022

Software Engineer

California, United States

Developed and deployed a full-stack web application using JavaScript framework that streamlined data organization for an affiliate platform, resulting in a 20% increase in user engagement and a 25% reduction in data retrieval time.
Spearheaded the migration of a critical machine microservice API from OAuth 1 to OAuth 2, enhancing software security protocols and resulting in a 95% reduction in unauthorized access incidents across applications.
Optimized database queries and system configuration as part of the transition project, achieving a reduction in server resource consumption by 25%, leading to annual cost savings of approximately $15,000.

Waresix

2020 - 2021

Software Engineer

Jakarta, Indonesia

Decreased production bugs by 44% as measured by post-release QA reports, by automating comprehensive testing suites using Selenium, Appium, and Jenkins.
Met Q1 targets for a rapid market launch of a new fleet management system by developing a full-stack solution using React and Rust, reducing launch time by 40% while maintaining a 95% client satisfaction rate.