Summary
Mandar Mhapsekar is a software engineer with eight years of experience building large-scale, real-time payment systems and cloud-native microservices, currently pursuing an MS in Computer Science at USC and working at AWS. He has deep hands-on expertise in Java Spring Boot, Kafka, Kubernetes, and security-conscious designs—having led delivery of a payment clearing service for India’s real-time rails and implemented hybrid RSA/AES encryption for clearing-house communication. At JPMorgan he built multi-market payment platforms and CI/CD pipelines, and as an intern at Nomura implemented Consul-based service discovery and a Consul+Envoy service mesh for secure, observable microservices. He also applies machine learning and NLP pragmatically—creating a RASA/Django virtual assistant and Doc2Vec-based ticket similarity—to automate toil and surface historical context. Based in the San Francisco Bay Area, he combines production-grade engineering with a curiosity for new tooling and cross-domain learning.
8 years of coding experience
5 years of employment as a software developer
Master of Science - MS Computer Science, Master of Science - MS Computer Science at University of Southern California
Diploma in Engineering Information Technology, Diploma in Engineering Information Technology at Government Polytechnic, Mumbai
SSC High School/Secondary Diplomas and Certificates, SSC High School/Secondary Diplomas and Certificates at St Xavier's High School, Andheri East
Bachelor of Engineering Information Technology, Bachelor of Engineering Information Technology at Dwarkadas J. Sanghvi College of Engineering
English, Hindi, Marathi