Summary
Siddharth Srinivasan is a Forward Deployed Software Engineer at Palantir with nine years of hands-on experience building cloud-native, full-stack, and data-driven systems. He blends Python and PySpark expertise with infrastructure-as-code and CI/CD practices (Terraform, Docker, Jenkins) to deliver production ETL pipelines and scalable data platforms. At Purdue and in industry internships he led cross-functional teams to deploy NLP and biometric applications for Merck and cut data ingestion times from hours to minutes at John Deere. Comfortable from low-level C/C++ to ML model evaluation (BERT, BioBERT) and web/mobile stacks, he pairs strong troubleshooting and documentation skills with stakeholder-driven product design. Based in New York, he brings a rare mix of academic rigor (4.0 Computer Engineering degree) and practical delivery experience in regulated, research-heavy domains.
9 years of coding experience
2 years of employment as a software developer
Bachelor's degree, Computer Engineering, 4.0, Bachelor's degree, Computer Engineering, 4.0 at Purdue University