Summary
Devanshu Save is a software engineer with 9 years of experience building high-performance data and analytics platforms for fixed income at FactSet, where he has led large-scale SQL Server to PostgreSQL migrations, multi-region disaster recovery designs, and performance optimizations that yielded 3x speedups and meaningful cost savings. He blends backend systems engineering (C++, microservices, REST APIs) with data engineering (Python ETL, Protobuf schemas) to deliver real-time and intraday analytics across hundreds of instruments and decades of data. Comfortable across cloud and on-prem stacks, he has modernized legacy services with autoscaling and resilience features while mentoring peers and standardizing reusable libraries. His background includes machine learning research and teaching at Washington University and early career experience in large enterprise Java/ETL projects and trading systems, which gives him a practical edge in financial-domain engineering. An active tinkerer on GitHub focused on AI/GenAI and retrieval-augmented-generation projects, he combines production-grade reliability with curiosity about applied ML.
9 years of coding experience
4 years of employment as a software developer
Bachelor of Engineering (B.E.), Computer Science, First Class, Bachelor of Engineering (B.E.), Computer Science, First Class at University of Mumbai
Master of Science (MS), Computer Science, Master of Science (MS), Computer Science at Washington University in St. Louis
English, Marathi, Hindi