Bisma Khomeini

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

Singapore

BK

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 - Technical Lead

Orchestrated software architecture for electronic cards using Java, Ruby, and Golang, enhancing system efficiency by 40%. Implemented Terraform & Kubernetes for multi-cloud infrastructure supporting 500+ microservices.

Morgan Stanley

2023 - 2024

Software Engineer

Engineered automated reporting tools with Python & PySpark, reducing data processing time by 50%. Integrated advanced financial modeling tools for transactions valued up to $1B.

Praktis

2022 - 2023

Software Engineer

Led migration of 500TB data to Alibaba Cloud, cutting costs by 30%. Developed Golang/Java microservices that increased transaction speeds by 59% with 99.9% uptime.

Impact

2021 - 2022

Software Engineer

Built a full-stack web app that boosted user engagement by 20%. Spearheaded a critical API migration from OAuth 1 to OAuth 2, reducing unauthorized access incidents by 95%.

Waresix

2020 - 2021

Software Engineer

Developed a cutting-edge fleet management system using React & Rust, reducing launch time by 40%. Managed high-stakes rollbacks and stakeholder communication.

Skills

Golang

Java (Spring Boot)

Python

Rust

React.js

Kubernetes

Docker

AWS

Terraform

GraphQL

PostgreSQL

Microservices

Large Language Models (LLMs)

CI/CD

Education

University of Indonesia

2016 - 2020

BS in Computer Science

Massachusetts Institute of Technology

2020 - 2021

Diploma - Associate Degree

Achievements

Honroable Mention of Development Category

TopCoder2020

Getting honorable mention among 8000+ global participants in a competitive development challenge.

Finalist Top 5 Team - Dataton By Novartis

Novartis2022

Achieved Top 5 position among 100+ teams in a healthcare data analytics competition.

Academic Distinction

MIT & UI2020, 2021

Achieved a high distinction GPA of 4.8/5.0 during Associate Degree studies & Top 3% in Computer Science at University of Indonesia.

Selected Projects

Fleet Management System

Fleet Management System

A high-performance logistics tracking platform built with React and Rust to optimize fleet operations.

ReactRustReal-time Data

Profit & Loss Strategy Platform

Profit & Loss Strategy Platform

Self-service financial platform empowering stakeholders to analyze P&L data independently, reducing manual reporting by 75%.

PythonAWSData Analysis

Multi-Cloud Infra Migration

Multi-Cloud Infra Migration

Orchestrated the migration of 500TB+ of product data and 500+ microservices to Alibaba Cloud using Terraform.

TerraformKubernetesAlibaba Cloud

AI Reporting Automation

AI Reporting Automation

Automated reporting pipeline processing 1 million+ records daily using PySpark and AWS Glue.

PySparkAWS GluePython

RAG-Powered AI Legal Assistant

RAG-Powered AI Legal Assistant

Developed a Retrieval-Augmented Generation (RAG) system to query 10,000+ legal documents with 95% accuracy using vector embeddings.

LangChainOpenAIPineconePython

DeFi Liquidity Aggregator

DeFi Liquidity Aggregator

Engineered a smart contract-based protocol to optimize token swap rates across multiple decentralized exchanges, reducing slippage by 15%.

SolidityEthereumEthers.jsHardhat

Serverless Media Processing Engine

Serverless Media Processing Engine

Built a cloud-native automated video transcoding pipeline handling 10k+ monthly uploads using an event-driven architecture.

AWS LambdaS3FFmpegNode.js

Low-Latency HFT Trading Engine

Low-Latency HFT Trading Engine

Architected a high-frequency trading simulation engine in C++ with sub-millisecond execution times and custom memory allocators.

C++20STLLinux SystemsMultithreading

Real-time Fraud Detection System

Real-time Fraud Detection System

Deployed a streaming ML pipeline to detect fraudulent transactions in under 200ms using SageMaker and Kinesis.

AWS SageMakerKinesisScikit-LearnTerraform

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