Suraj Jaiswal

About Suraj Jaiswal

I am a Lead Full Stack Engineer with 7+ years of experience building scalable, high-performance systems across backend, frontend, and cloud.Currently at KKR, I work on large-scale financial systems where I design distributed architectures, migrate legacy infrastructure, and build multi-tenant SaaS platforms. I have led AWS migrations across accounts, modernized systems from EC2 to ECS, and integrated managed services like ElastiCache to improve scalability, reliability, and performance.One of my key areas of work is building AI-powered product features. I designed and implemented an automated reporting system using OpenAI APIs that generates structured executive summaries (daily, weekly, monthly, yearly) from enterprise datasets—significantly reducing manual effort and improving decision-making speed.Across my roles, I have consistently focused on performance and efficiency:Improved API performance by up to 240x through deep backend optimizationsReduced infrastructure costs by up to 70%Built systems impacting $30B+ in financial assetsDelivered automation solutions saving weeks of operational effortI specialize in:Distributed systems & microservices architectureCloud-native development (AWS, ECS, scalable infrastructure)Multi-tenant SaaS systemsPerformance optimization at scaleAI-powered product developmentI have also contributed to the open-source ecosystem by publishing a Python package (DBTron) on PyPI.I’m particularly interested in solving complex engineering problems in distributed systems, AI-powered applications, and high-scale backend platforms.Open to global remote opportunities and high-impact engineering roles.

Experience

1. Full Stack Engineer

   KKR

   May 2025 — Present

   Developed and deployed centralized trade analytics and advisor data input dashboards, consolidating fragmented tools and processes, resulting in an estimated 30-40% reduction in time spent by advisors and analysts on data gathering and validation- Designed and implemented data pipelines integrating multiple databases (MIK, Intex, Everest) into Snowflake, enabling near real-time data availability with daily refreshes, reducing data retrieval and reconciliation time by approximately 50-60%- Enabled faster and more reliable decision-making by consolidating data into a single platform, improving operational efficiency and data accuracy, indirectly contributing to improved portfolio management workflows impacting $30+ billion CLO assets under management.

Education

• University of Mumbai

  Bachelor's degree, Information Technology