About

Devendra Parhate is a functional programmer and machine learning engineer with over 5 years of relevant experience in the field of distributed systems, cloud-native applications, data analytics, and ML/AI. He is currently working as an MLE at Jupiter Money, where he is responsible for understanding customer intent and proactively suggesting and improving their personal finance management using Natural Language Understanding. Devendra has extensive experience in setting up infrastructure and implementing from scratch event-driven and reactive distributed system architecture using microservices. He has worked with TeraByte (100B+) scale using Java, Scala, and Python. He is passionate about category theory and has experience in Domain Driven Design. Devendra has previously worked at Elocity, where he was the Platform Architect responsible for managing the platform team, planning, designing, and implementing core EV charging platform architecture deployed across multiple countries. He implemented real-time communication protocol OCPP over WebSocket and OCPI for EV roaming network infrastructure and smart load prediction. He has also built real-time data stream processing applications to process charging metrics using Istio Service Mesh, SpringBoot, Apache Kafka, Apache Spark, ElasticSearch, ELK, WebSocket, Node.js, Nest.js, KStream, etc. Devendra has a Bachelor's degree in Computer Science from Vellore Institute of Technology. He has experience with various technologies such as ML, Kafka, AWS, Kubernetes, infra, Javascript, Spark, Microservices, Docker, Spring Boot, AI, Java, Scala, NoSQL, Spring, Big Data, Web, Senior Software Engineer, Elastic Search, Software Engineer, Blockchain, Search, Backend, CI/CD, Ethereum, Solidity, Smart Contract, XGBoost, HDFS, Bamboo, Amazon Athena, Redis, Research Scientist, Frontend, Apache Hive.