I help organizations make better decisions through the latest Deep Learning and Data Science technologies

I teach Artificial Intelligence, Neural Networks, and Deep Learning to the Masters of Computer Science students in the Donald Bren School of Information and Computer Sciences at the University of California.

At Technossus I am responsible for shaping and leading the Artificial Intelligence Practice to ensure high standards and consistent empowerment of both technical and non-technical stakeholdersResponsible for various cloud migrations and architectures specifically for data ingestion on both Azure and AWSDeveloped a highly accurate Machine Learning based OCR solution using Morphology, RNN, LSTM and NLP to beat Amazon and Google's solutions, ultimately producing exceptional accuracyPerformed Exploratory Data Analysis, Data Visualization, Machine Learning prototypes and leading a team of data engineers to deliver a behavior focussed AI solution

At Vocalytics we use AI to make audio intelligent in the physical world.

• Lead and mentor a team of 10 software and data engineers of various experience levels in implementing a data synchronization solution• Act as a technical advisor and performed technical due-diligence for various early and later stage startups in an effort to improve architecture, performance and valuation• Developed a recommender engine with a social media & news feed data scraping solution that utilizes collaborative filtering, LSH, semantic analysis, and content ranking• Developed a reactive micro-services data framework with an end to end asynchronous event-driven transaction pattern

AvidWare provides a variety of AI products and custom Machine Learning solutions using the latest data pipeline strategies and machine learning implementations.- I am leading a team of software engineers while being very hands-on in building natural language processing, recommender systems and computer vision solutions for various problems- I architect and build data processing pipelines with proven tools such as Kafka, Spark and Hadoop- I simulate and prototype machine learning models using frameworks such as Keras, Tensorflow, SciKit-Lean, Numpy and Pandas- I both, test and deploy, production-ready solutions for real-time scalable data solutions in trusted cloud environments such as AWS and Azure - My responsibilities include collecting, analyzing and normalizing significant amounts of data in an effort to design efficient models that provide accurate decision making and improved analytics- I provide analytical and statistical analysis to measure quality, improve efficiency and optimization of existing data solutions - I designed various applications using natural language processing, multi-classification algorithms and clustering techniques to provide the best solution for the problem at hand Specific technologies:- Tensorflow, Pytorch, NLTK, Scikit-Learn- Kafka, Spark, Akka, Play, R, Hadoop, HDFS- C, C++, Python, Scala, Java

Software Security Architect and Principal Data Engineer working on an online information system to design a scalable, low latency and highly efficient system.The system goals were to ensure high security for US$80 Billion in AUM at the time, while ensuring we meet high performance and stability goals. The project was delivered in reaching all goals and required minimum ongoing maintenance.