Hands-on Engineering Leader for Generative AI, LLMs, M/L, Data Science, Data Engineering and Analytics initiatives across the company (SoundHound, Hound and Houndify platform). My team focuses on improving real time natural language understanding by building generative AI models, NLG and Dialogue systems using LLMs, traffic analysis (Big Data and M/L), data retrieval (search, autocomplete, query suggest), personalization (recommendations etc), billing and analytics for all Houndify developer platform users, reports and insight generation, voice Ads etc.Patents:(*) Bidirectional probabilistic natural language rewriting and selection(*) Predicting human behavior by machine learning of natural language interpretations(*) Natural Language Module Store(*) System & Method for Detection & Correction of a Query(*) Machine learning system for digital assistants(*) Neural sentence generator for virtual assistants(*) Token confidence scores for automatic speech recognitionWe are hiring! Join us to solve most interesting problems in the area of Conversational AI and Machine Learning

Lead the design and development responsibilities in following areas:Big Data Analytics:- Built a new ETL platform to analyze and process live traffic data from Hound and SoundHound users, in near real time, using the best of the open-source big data technologies viz. Spark (and Streaming), Kafka, HBase, Avro, Parquet etc.- Generated various KPI Metrics and using Tableau for Data visualization.Hound: Speech Recognition + Natural Language Understanding app using SoundHound's speech-to-meaning technology- Built the Query Analyzer to analyze queries on hound, extract insights and improve accuracy- Hound GIS Module to generate coordinates details, geohash estimation for all the road intersections to serve Hound's geo queries, for eg. "show me all restaurants near US 101 and Lawrence Expy"​ or "how far am from Lombard St and Hyde St".- Backend processing and a webservice to power live hound traffic projection on globe

Wanna-Be-So™ Brand of apps, creating impactful solutions that drive productivity and enhance lifestyles, starting with Wanna-Be-So™ Organized!Task Management Reimagined! See All Your Tasks at a Glance: Organized and Simplified.ios: https://tinyurl.com/wannabesoiosandroid: https://tinyurl.com/wannabesoandroidExperience a fresh approach to organizing your life with our innovative task management app. Easily categorize your tasks into daily, weekly, and monthly schedules, and manage recurring tasks with simplicity. You can set reminders for your tasks and mark them as done or delete them as needed. Our app keeps all your data local and private, ensuring your information stays secure. Move beyond traditional calendars with our streamlined and intuitive app for efficient task management. Say goodbye to cluttered calendars and hello to a more organized life!https://www.youtube.com/@WannaBeSoApp

Endeca Software, Big Data Discovery & Analytics - https://cloud.oracle.com/bigdatadiscoveryResponsibilities: Design and Development- helped to build the big data enrichment product from ground up, with a goal to provide text enrichment capability on unstructured data sitting in HDFS. Data is enriched using multiple plugins like text cleanup, key phrase extractor, sentiment analysis, wikification, language detection, geocode extractor, named entity extractor etc. which runs through enrichment engine framework on Apache Spark, and some valuable insights are added before indexing kicks in. This improves the search and discovery experience on Endeca.Technologies: Spark, Hadoop MapRed, Pig, Hive, Oozie, Avro, Groovy, REST APIsBuild Tools: Gradle, Ant, MavenOther Projects:- Secure Enterprise Search (Server Technologies Division)- Search Engine as a Service in OPC (Oracle Public Cloud) with Oracle's Endeca backendAdditional Responsibilities: Scrum Master- Manage Sprint using Agile tool: Jira- Write user stories, sprint planning, retrospective, Product roadmap

Search Backend, Server Side Development, Spider Management Framework, Analytics, end-to-end Search Performance Optimization, Indexing (Lucene/Hadoop), Cache Systems, Scaling Applications, Distributed Systems.

•Wrote Stateless EJBs and deployed on Websphere Application Server.•Analyzed business requirements & reviewed high level design documents.