There is wide spectrum of AI/Data Science work. Broad Areas : Generative AIDeep LearningML Regression ML Classification Graph ML Natural Language Processing Recommendation Solutions using MLSpeech Recognition

I have been appointed as Member, Board of Studies, Information Technology (Engineering) in the category of Meritorious Alumnus at Vishwakarma Institute of Technology, Pune. I'm involved in reviewing structure of curriculum and to provide recommendations. This is a voluntary activity.

Member of the leadership team at DeepTek.Leading 3 teams of Data Science and 1 Research Team of PhDs.

Architecting Artificial Intelligence, Machine Learning, Natural Language Processing solutions with Storage.

Have good experience of tuning Machine Learning models for customer’s real world datasets and writing production level code for it’s deployment. Designing and architect solutions for new features and enhancementso Machine Learning Data Science Techniques I worked on : Classification Algorithms using SKLearn(Python) and MLPack(C++):• K Nearest Neighbour• Random Forest• Decision Tree• Logistic Regression• Gradient Boost, AdaBoost Clustering Algorithms using SKLearn(Python)• K Means clustering Regression Algorithms using SKLearn(Python)• Linear Regression Feature Selection : Recursive Feature Elimination(RFECV), Forward Feature Selection etc Hyperparameter Optimization : GridSearchCV Deep Learning : TensorflowOnSpark• Deep Learning to Big Data Clusters of Spark• Multi label classification using Neural Networks • Gave a company wide presentation on TensorflowOnSpark

o Have good experience of tuning Machine Learning models for customer’s real world datasets and writing production level code for it’s deployment. Designing and architect solutions for new features and enhancementso Machine Learning Data Science Techniques I worked on : Classification Algorithms using SKLearn(Python) and MLPack(C++):• K Nearest Neighbour • Random Forest • Decision Tree • Logistic Regression • Gradient Boost, AdaBoost  Clustering Algorithms using SKLearn(Python)• K Means clustering  Regression Algorithms using SKLearn(Python)• Linear Regression  Feature Selection : Recursive Feature Elimination(RFECV), Forward Feature Selection etc  Hyperparameter Optimization : GridSearchCV Deep Learning : TensorflowOnSpark • Deep Learning to Big Data Clusters of Spark • Tuned this framework to build Neural Network on CSV data

o Part of Core Development Team o Domains : Machine Learning Data Science, Storage Filesystem and Protocols, IoT(Internet of Things)o Area : Data Science using Python, System programming using C, C++ • Machine Learning Data Science(Python) o Oil and Gas Industry :  IoT solution was developed for Oil and Gas industry. It majorly involved acquiring data from seismic sensors and then analyzing seismic data. My role was to build Classification (supervised learning) model using Neural Networks for data collected from seismic sensors. o HRTech :  Employee HR dataset(Historical) was used for analytics and training the model using Logistic Regression.  Presented this idea at Xoriant’s Tech Conference(TechX) as a part of CFP(Call for Proposals) o Storage Analyzer:  Developed solution to analyze Storage Data (IOPS, CPU usage, Bandwidth, Capacity) My role was to acquire required data from storage server, preprocess it and perform analytics on top of it.  Capacity Forecasting (time series) was done using Machine Learning (ARIMA: Auto Regressive Integrated Moving Average) ● Hitachi Protection Platform(HPP) o Storage Filesystem Developer: Worked on NFS/CIFS performance enhancements ● Hitachi Data Instance Director(HDID) o Storage Filesystem Developer: Attended new hire training at Waltham, USo Designed and implemented HBB(Host Based Backup) cloud adaptor using AWS(Amazon Web Services) S3 ● Lumada(Hitachi’s IoT Core Platform) and Pentaho(Hitachi’s Business Analytics Tool)o Developed a model for Data Centre IoT using MQTT protocol.

Business Unit : Core Technologies Division(Data Domain)Developer of NFS(Network Filesystem)Ex Component Owner of NDMP(Network Data Management Protocol)

Business Unit : Backup Recovery Systems(Data Domain)Developer of NFS(Network Filesystem)Component Owner of NDMP(Network Data Management Protocol)

Have completed Master of Technology(MTech) in Computer Science and Engineering Department of Indian Institute of Technology, Bombay.

SYNERG stands for SYstems and NEtworking Research Group.