About

Ravi Devineni is an accomplished Associate Director Data Engineering with over 11 years of experience in the field. He is currently working with Fareportal, where he has developed Searchlog pipelines to capture data from CheapOAir and OneTravel customer-facing applications. He has also developed a Pricing Platform to fine-tune the ServiceFee to increase Revenue per Ticket and Number of tickets. Ravi has worked with several leading organizations in the past, including inviz ai and continental. At inviz ai, he worked as a Lead Data Engineer and Data Scientist, developing and deploying ML models for different relevancy features like Spellcheck, Autocomplete, SLP, and PLP Ranking. He is an expert in Google Cloud, Python, and Big Data. At continental, he worked as a Technical Architect, creating Data Pipelines in capturing data from different sensors like Camera, Radar, and Lidar. He developed validation Frameworks for validating different ADAS algos like Free Space Detection, Map Navigation, Traffic Sign Assistance. He submitted a patent that is recognized as a top 6 contribution in the world. He travelled to Germany for implementing the patent with the Global Team, and it has been taken up by different clients like BMW, Toyota, and Geely. Ravi is proficient in several technologies, including Data Engineering, Python, ML, Senior Software Engineer, Data Scientist, Research Scientist, AWS, Apache Airflow, Big Data, GCP, AI, SQL, Microservices, Databricks, Terraform, Spark, Redis, Kubernetes, Docker, MongoDB, Kafka, Search, ETL, Flask, Azure, Mobile, and Software Engineer. He is a highly skilled professional with a keen eye for detail and a passion for delivering results.