Software Development Engineer in Machine Learning

Overview

At Pluto Money, I played a key role in revamping and scaling core systems—especially the chatbot and data pipelines. My contributions spanned microservices architecture, automation using Celery, and performance improvements across backend and frontend.

Key Responsibilities

• Revamped the flagship chatbot using “Generative UI” components for interactive input/output widgets
• Designed and deployed a Redis + LavinMQ-based “Stock Worker” for real-time stock aggregation
• Developed a Celery Worker to automate background pipelines, reducing manual work by ~90%
• Collaborated with SEO and product teams to rearchitect critical high-traffic sections (stocks, mutual funds)
• Improved CI/CD workflows using GitHub Actions with automated environment setup and linting
• Wrote extensive technical documentation to support onboarding and cross-functional collaboration

Key Achievements

• Reduced latency of real-time financial data pipelines significantly across web and chatbot
• Accelerated release cycles by 40% with optimized CI/CD and testing
• Enhanced team onboarding speed through robust documentation practices

Skills & Technologies