About

Pratik Deoolwadikar is an experienced Software Engineer who specializes in Distributed Backend, Cloud services, and Data infrastructure. He holds a Bachelor's degree in Computer Engineering from the University of Mumbai. Pratik has a proven track record of developing frameworks and contributing to the open-source community. He recently developed a data framework, Transformers-Keras-dataloader, which is available on PyPI. Currently, Pratik is working as a Software Engineer - Backend and Data Platform at Netcore Solutions. He has developed system services, API gateways, data pipelines, and service layers. Pratik has also built a microservice orchestrator and REST API/services for Quinto.ai's bots. He has refined ETL data pipelines using dataproc and bigquery. Pratik has developed a novel cluster-parser algorithm to obtain custom clusters from time series data frames, crafted features using analytical queries on analytical db(vertica), and streamlined microservices using Kubernetes. He has also developed a semantic text annotator utilizing knowledge graphs(wikidata, conceptnet, etc.), Language models, Meta searching, and Information retrieval techniques to enrich raw text. Pratik has worked as a Software Engineer - Backend and Data Platform at Nanoprecise Sci Corp, where he developed data streaming and processing pipelines utilizing AWS Kinesis, lambda, S3, Apache Kafka, Docker, along with MongoDB, PostgreSQL, and Redis databases. He decomposed the monolith backend architecture into a microservices-based solution. Pratik also developed REST APIs and maintained multi-node Hadoop Spark clusters on AWS EMR. He contributed to the health monitoring and fault detection codebase for industrial assets utilizing Signal Processing, Math modeling, and Time series machine learning algorithms. He designed a bootstrap algorithm for battery life estimation of sensors and explored algorithm performance with changes to spatial positioning and intermittent historical utilization. Pratik's education includes a Bachelor's degree in Computer Engineering from the University of Mumbai, a Machine Learning Engineer Nanodegree, and an Android Developer Nanodegree from Udacity. He also holds an Associate's Degree in Mechanical Engineering from the University of Mumbai and a Full Stack Web Development Certification from Free Code Camp. Pratik has a vast and diverse TechStack that includes AWS, Microservices, Keras, Information Retrieval, BERT, NLU, infra, AI, Kubernetes, Docker, Spark, ML, MongoDB, ETL, Deep Learning, Hadoop, Kafka, Pytorch, CNN