Jatin is a seasoned AI/ML Engineer with 10+ years of industry expertise building innovative enterprise data solutions leveraging both cloud and on-prem technologies. He is a self-starter with great communication skills, a solid understanding of AI, Data Science, advanced statistics, Machine Learning, data mining, and visualization techniques. Jatin creates and maintains new data pipelines on projects using data at scale, implementing critical ETL pipelines, and advancing best practices in a fast-paced, collaborative, inclusive, and iterative delivery environment.
Delivering data warehouse and ETL solutions as part of an Agile team using advanced ML techniques to improve performance and processes.
Helping build and improve infrastructure, application, and performance development and ensuring tight security including data encryption, security groups, and environment scanning.
Ensuring high-quality deliverables and implementing DevOps and security best practices in fast-paced environments.
Working as a technical advisor to early-stage AI startups, contributing to all aspects of the development process and incorporating standards and best practices into engineering solutions.
Mentoring software engineers within Next AI ventures, developing re-usable frameworks and reviewing design and code produced by engineers.
Providing expert-level advice to data scientists, data engineers, and operations for the delivery of high-quality solutions on projects.
Built new data pipelines and ML models to preprocess and transform massive amounts of structured and unstructured data on NestReady's digital platform.
Set up Big Data infrastructure (Hadoop) from the ground up with features for monitoring, maintenance, and enhancements of Spark clusters on the platform.
Improved user click-through rate by 30% and implemented a user personalization feature with a recommendation engine using Locality Sensitive Hashing in Spark ML.
NestReady utilizes an innovative ML/AI-based platform, positioning lenders at the heart of the home-buying experience.
A Deep Learning-based super-resolution model was established to enhance image quality and resolution for an improved customer experience on the platform.
A Customer Buying Intent Generator was developed using customer behavioral and demographic data to reduce bounce rates and generate high-quality product descriptions.
![Certified Scrum Master (CSM) [Expired Jun 2019]](https://d19d9m2dcgrxq7.cloudfront.net/4be3ddc0-955b-45f7-8951-5bc67c150d5a.jpg)
