About

Rahul Tripathi is a Software Engineer at Honeywell, with a strong background in technology and business domains. He has a Bachelor of Technology degree in Agricultural and Food Engineering from the Indian Institute of Technology - Kharagpur. Rahul has a blend of experience in technology and business, making him an ideal candidate for roles that require technical expertise with business skills. Rahul's technical expertise lies in software development, specifically microservices-based architecture leveraging Spring Boot. During his college years, he worked on several Machine learning and Deep Learning projects and participated in data analytics competitions. Rahul has also worked as a product manager in one of his internships and closely worked with several offering managers in his current company. Currently, Rahul is a Developing Engineer's Program (DEP) Candidate at Honeywell, where he is training for market segmentation, Voice of Customer (VoC), and Lean Canvas. He is working with India-level leaders to level New Product Introduction (NPI) opportunities and get seed-funding for the same. Rahul is also using the Z21 tools to pitch ideas forward and drive the NPIs. In his previous role at Honeywell, Rahul worked as a Software Engineer II in the Data Virtualization Team and the Development Team. He designed and developed an in-house data streaming framework to support data pipeline creation along with transformation of business data using Kafka and Kafka Streams Java API. Rahul also transformed and aggregated data consumed by Grafana to create insightful Key Performance Indicators (KPIs), Alarms, and Events, ML models, and real-time UI updates, which served as a value-added product offering. Rahul has also worked as a Data Science Specialist at Policybazaar, where he implemented a pre-trained image segmentation model for classification, built a pipeline to make a query to the database server and get the required URLs of videos, download and extract frames, run through Optical Character Recognition (OCR) to extract text, and built a Mask-RCNN model using initial weights for MS COCO and trained it on their dataset to perform instance segmentation and detect parts of the car. Rahul's technical skills include Software Engineering, Microservices, Machine Learning, Product Management, Kafka, Spring Boot, Spring, Integration, Web, Research Scientist, Test, Python, Data Science, UI, Image Segmentation, Neural Networks, Backend, Java, AI, Hyperparameter, Django, Deep Learning, and Elastic Search. Rahul has 3.20 years