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 is an innovative ML/AI-based platform that places lenders at the center of the home-buying experience. Led processes to reduce customer bounce rate (20%) by generating high-quality custom descriptions of a product using text-generation algorithms. Enhanced customer experience by building a Deep Learning-based super-resolution model (GAN) to boost the quality and resolution of house images (TensorFlow) on the platform. Built Customer Buying Intent Generator using customer behavioral and demographic data (K-Means Clustering and Classification).
Developed innovative personalized search results solutions using Spark, Mongo, LSH, AWS S3 with 1+ billion records loaded into the data frame, using behavioral logs to find similar items. The code was built with Spark ML framework and can run on AWS EMR cluster or GCP's Dataproc.
Worked on an NLP chatbot for American Express, handling the deployment of the AskGSM platform to respond to queries from external vendor partners and in-house stakeholders on the status of invoices submitted.
Education
Natural Language Processing with Classification and Vector Spaces
![Certified Scrum Master (CSM) [Expired Jun 2019]](https://d19d9m2dcgrxq7.cloudfront.net/4be3ddc0-955b-45f7-8951-5bc67c150d5a.jpg)
