# Prasad Vyavahare > AI/ML Innovator|GEN AI - Machine Learning Engineer| Architect| Research| Lead| Certified Scrum Master Location: San Francisco Bay Area, United States Profile: https://flows.cv/prasadvyavahare • • 14+ years of professional experience in Machine Learning, Data Science, Big Data and Generative AI space. • Research experience in developing advanced statistical, data discovery and text classification models using predictive modeling, time series modeling, scalable classifier supervised modeling and unsupervised cluster modeling. • Leveraged the existing machine learning research modules into scalable modularized pipelines and deployed them in modern parallel environments like distributed clusters, multicore compute nodes etc using ML frameworks, • Two US patent grants on developing an algorithm to identify root issues of events using unsupervised approach thus avoiding them to convert into service affecting incident and effectively managing the plurality of the events. • Contributed extensively to the research and productization of multiple ML projects like Timeseries forecasting, Anomaly & Outlier detection, Classifier based Prediction, user profiling / segmentation using clustering algorithms. • Lead and drove the efforts in designing, training and implementing the data discovery & classification models and its respective prediction interface using end to end Machine Learning workflows in spark NLP, tensorflow along with MLOPS validations and evaluations etc. Successfully performed basic analysis of Vertex AI GEN AI platform to train & implement the similarity search GEN AI indexes using Google vector search module. • As a Principal Machine Learning Engineer, managing onshore and offshore teams of junior and senior engineers. • As a scrum master, successfully managed the team’s features to completion for product releases, working with cross platform teams & POs to prepare the requirements, feature list, test plans, deliverable demos and documentation. • Software development expertise on hybrid architectures / platforms using scripting languages,big data frameworks, pipelines (ML & MLOPS) like Python, Scala, Java, Spark, Argo Flow, MLFlow, MongoDB, HBase, PySpark, Hadoop, Google Kubernetes Engine, Google cloud platform etc ## Work Experience ### Principle Software Engineer- Machine Learning @ Thales Digital Identity and Security (ex Gemalto) Jan 2022 – Present | San Francisco Bay Area ### Analytics Technologist / Data Scientist @ Thales Jan 2018 – Jan 2022 | San Francisco Bay Area ### Senior Software Engineer Analytics @ Guavus Jan 2014 – Jan 2018 | San Francisco Bay Area ### Software Engineer in Analytics @ Guavus Jan 2012 – Jan 2014 ### Software Engineer (Technical Associate) @ Tech Mahindra Ltd Jan 2008 – Jan 2010 Wholesale Landline Rental (WLR): July’ 08-July’ 10 • Supported the Siebel CRM Wholesale Landline Rental module for British Telecom to offer end users their own-branded telephony services • Coordinated with Incident Management and Development Team to roll out the respective releases. • Monitored and automated the reporting and deployment processes by developing various shell scripts. Environment: Siebel CRM, SQL, UNIX, C-shell, K-shell, XML Bridge Case Classification Tool: July’ 08-July’ 10 • Coded/Designed the website along with development of advanced reporting tool & search engine. • Worked on implementation of new complex features to reporting tool & search engine so as to produce more accurate data. Environment: JavaScript, C#, ASP.Net, MS SQL Automation of Pre deployment Activities: July’ 08-July’ 10 • Developed the shell script from scratch in UNIX for automation of series of pre deployment activities adhering to the deployment rules. • Implemented new features to speed up the deployment process & minimize the outage period. • Fixed all the issues raised by the client and successfully deployed the script on business servers Environment: UNIX, C-shell, SQL ## Education ### Masters in Science in Computer Science University at Buffalo, State University of New York ### Bachelor of Engineering in Computer Engineering University of Mumbai ## Contact & Social - LinkedIn: https://linkedin.com/in/prasad-vyavahare-9980262b --- Source: https://flows.cv/prasadvyavahare JSON Resume: https://flows.cv/prasadvyavahare/resume.json Last updated: 2026-04-12