Working for IBM Sterling Supply chain business network on AI based customer facing multi-threaded web application for visibility and data management of the inventory and associated EDI documents in real-time for both inbound and outbound. The web application is scalable (multi-nodes), cloud based, dockerized, containerized, use kubernetes for resource management. Filebeat, Logstash, Kafka, Kibana, Garylog/Elasticsearch are used for managing the logs and communication between each of the layers are encrypted using certificates. New Relic is used for application performance monitoring. Jenkins for build and deployment.Expert in• Web application development including client/server communication.• Core Java, J2EE technologies, including Servlets, JSP and JDBC.• Frontend/backend/Database design/development and implementation of event driven applications using AJAX, jQuery, JavaScript, JSON, UML, SOA Web services, Restful API, SOAP, YAML.• Cross browser compatibility amongst browsers like Chrome, Safari, Firefox and IE.

Responsible for using a combination of statistical knowledge, programming skills, machine learning, artificial intelligence and business acumen to identify, prioritize, and solve high-impact business problems. I identify, cleanse, combine, visualize, analyze data from a variety of sources to obtain actionable business insights. I leverage knowledge and experience in data mining, machine learning, applied statistics, operations research, and related quantitative disciplines to develop sophisticated analytics solutions to critical business challenges. • Strong applied analytical knowledge including statistics, probability theory, estimation theory, predictive modeling and machine learning.• Supervised & unsupervised learning algorithms, Online and reinforcement learning.• Experience in data integration, mining, conditioning, modeling and analysis.• Experience in ML research, data science, or engineering in building and implementing machine learning models/algorithms, particularly around classification, segmentation, multivariate regression, pattern recognition, etc. • Big Data technologies, Hadoop eco-system, Cloud, Kubernetes.• Experience with DL frameworks (TensorFlow, PyTorch, Caffe, Theano, Keras, or alike).• ML algorithms: Sentiment analysis, Image recognition and classification, Regression analysis, K-Means Clustering, Principal Component Analysis, Train/Test and cross validation, Bayesian Methods, Decision Trees and Random Forests, Multivariate Regression, Multi-Level Models, Support Vector Machines, K-Nearest Neighbor, Bias/Variance Tradeoff, Ensemble Learning, Collaborative Filtering etc.• Deep NN algorithms: MLP, RNN, LSTM, CNN, GRU.• Hands on with a source control/content management application such as Git, GitHub, GitLab, ClearCase, ClearQuest, JIRA, Salesforce, RTC.

Product Support Manager for IBM Analytics tools suites (SaaS revenue model) to help administer, monitor, manage and optimize the performance of Db2 native databases (RDBMS), & BigInsights, BigSQL environments on IBM clouds. Focus was mainly on following areas.Client Success – Client expansion, retention, renewals and referrals.Client Support/Implementation – client advocacy, issue resolution, support satisfaction.Product Management – Gather requirements, feature enhancement, marketing.People Management - Managed 10 resources across different geography and was responsible for their career growth.

Worked as Technical Client Manager for client VISA in Foster City, CA for the deployment and maintenance of hardware/software stack as part of IaaS & PaaS for their Enterprise Data Warehouse (aka ISAS 7700). It was multi million deal and I was entrusted to be point of contact for VISA on behalf of IBM to provide them overall technical assistance, handle escalations and update executives and business leaders. Closed the gaps in their operation and assisted in laying down the BAR (Backup and Recovery), HA (high availability) strategy.

Member and reviewer of technical design team for Galileo v10.1 release. Involved in architectural changes to incorporate the requirements. Worked on database DB2 engine internals on enhancing the features in the Multi-Temperature project for DB2 Galileo v10.1 release. Involved in design and implementation of the DB2 “Create Database” to enable database attribute “automatic storage”, evaluated storage path’s database partition expression in DPF (data partition feature) mode. Worked on kernel stress and added new element(s) to test the storage group (container for tablespaces) workload. Developed and tested rebalance feature of tablespaces through the automation.

Worked as research/teaching assistant at USC. Was actively engaged in research project, studied and applied Artificial Intelligence and Distributed & Parallel Computing, Compilers, Parallel Computing, Data Mining, Analysis of Algorithms and Bioinformatics Algorithms to depict genomics events in computational biology along with research work focused on genomics rearrangement problem in human genome to find out the rearrangement scenario with weighted version of reversal and transposition. I worked on NP-Completeness to know the computational limitation of classical computers. During research, I have proposed a new widget for Hamiltonian Circuit problem which serves the same purpose but with12 edges and 10 vertices instead of the original widget which has 14 edges and 12 vertices. Continuing on the same track, I have also proved "partition of quadrangle is NP-Complete" by doing the reduction from 3 exact cover. Also, developed a tool called “Nucleotide pattern search using Hadoop” that finds a specific DNA pattern specified by user with or without tolerance from the huge Nucleotide repository (NCBI) using fuzzy match algorithm.

Handled technical team for DB2 database drivers (JDBC, CLI) group. Worked on DB2 client CLP, implemented multiple features. Worked on pre and post-sales for IBM Analytics platform products for clients in various industries. Deployed the clusters and data warehouse infrastructures. Provided feedback on products, fixed the issues encountered, prepared technical notes to assist customers and IBM internal. Was member of University Relationship program to hire students for lab via internship program.