Ashok Kumar Bolisetti

Experience

• 

  CA Technologies

  Jul 2008 - Jun 2011

  Software Engineer

  CA Technologies (NASDAQ: CA) provides IT management solutions that help customers manage and secure complex IT environments to support agile business services. Organizations leverage CA Technologies software and SaaS solutions to accelerate innovation, transform infrastructure and secure data and identities, from the data center to the cloud.Product: CA Service Desk ManagerIt is a core of enterprise IT service support. CA Service Desk manager unifies IT’s management of core business services, increases end user productivity and raises customer satisfaction.It provides a single point of contact with in an organization and acts as control point for governance initiatives. As the first line of response is mitigating service destructions, CA service Desk Manager aids in discovering the root cause of outages and initiating change management processes resulting in high quality, consistent service delivery. · Developed a Automatic priority calculation feature and made it applicable to PDA, Text API and Email interfaces and made adherence with 508 compliance.· Developed and re-factored PDM macros · Performed Execution of Unit Test cases and Functional Test Cases· Fixed QA bugs and Web Services related issues and extended help for fixing customer issues· Shared Knowledge to team through Subject matter expert (SME) program· Initiated and addressed best practice measures in development environment Show less

• 

  E-Data Experts, Inc

  Feb 2012 - Jun 2012

  Senior software Engineer

  e-Data Experts, Inc. (e-Data) offers services around integrated business solutions, technical consulting services, development of software products and infrastructure support for small, medium and enterprise business organizations. Project Release: NextGenAustraliaModule worked on: Accumatch NextGen, performs search based on PIN/BIN. If the requester is unaware of the PIN/BIN, then he/she uses Identity search and inputs the parameters like first name, last name, address etc. where accumatch performs the required normalization of name/address and retrieves the best matching candidate available in DB. • Performed Database Tuning to improve DB performance• Developed feature “TestApp” which is helpful to understand the Accumatch functionality for Business Team.• Performed unit testing and functional testing• Fixed few issues related to Dozer mapping and Accumatch Show less

• 

  Parexel

  Jun 2012 - Jul 2017

  Product:MI-Platform is an Integrated Web Application with workflow, viewer and Image repository which facilitated end to end Medical Imaging operations –Image Acquisition, Processing, Analysis and Reporting. The system is built using common and best practices for building distributed-web-based applications hosted in a Linux environment built using Java based frameworks. The major governing principle and technologies used in the architecture and construction are to adhere to a service oriented architecture that is configuration and workflow driven, uses Inversion of Control principles, adheres to web based application development principals for modern browsers, applies web security standards and role based access control patterns for web applications. Responsibilities:• Part of Design/Architecture team and owned few modules for design & implementing • Developed SPRING Restful Web Services and Angular UI for data model.• Implemented LDAP authentication and search functionality in AD and Global catalog• Roles with permissions based authorization is implemented• Activiti workflows and role based UI screens for various status of tasks are developed • Services for assign, un-assign, re-assign , and rollback of activiti tasks are implemented• Written Rules and implemented business logic through fact publishing in DROOLS • Designed New deployment model to enhance the Applcation Performance for concurrent and parallel loads.• Upload, download image operations are tuned to reduce the processing times.• SQL queries tuned to provide better latency.• Followed best practices while development i.e. unit test cases, code reviews and architectural discussions and daily communication with scrum teams Show less PAREXEL is a leading global CRO that helps clients expedite time-to-market through our development and launch services which includes a broad range of clinical development capabilities, integrated advanced technologies, regulatory affairs consulting, and commercialization services.Product:MyImages and Tracking The tracking product helps researchers, and imaging research staff with a means to track, review and assess images and clinical data gathered from study subjects during the course of a clinical trial. The MyImages is a portal component of the eClinical “MyTrials” service. The MyImages portlet allows Site users (doctors) to Navigate, download and view the Medical Imaging (MI) Images. RESTful Web Services developed in Tracking module to provide the Images information.SpringMVC Portlet calls tracking WebServices to download, display the Images and Images Information in IBM WebSphere Portlet.Responsibilities:• Developed POC on Spring MVC Portlet with AngularJS,Restful Webservices and KT to the team• Developed Restful Web Services to provide Communication between the tracking application and MyImages Portlet• Written Oracle SQL queries for developing the Restful WebServices in tracking• Developed Myimages Portlet and dynamic UI experience with AngularJS with AJAX.• Followed best practices while development i.e. unit test cases, code reviews and architectural discussions before implementingProduct:MyQueries and TrackingThe MyQueries is a portal component of the eClinical “MyTrials” service. The MyQueries portlet allows Site users(doctors) to receive, view, track, and respond to Medical Imaging (MI) queries.Web Services Provides communication between the two products..Developed MyQueries Portal to provide view to doctors.Developed WebServices to provide Communication between the two products..Fixed issues relating to Business rules Show less

  • Lead Software Engineer

    Feb 2015 - Jul 2017

  • Senior software Engineer

    Jun 2012 - Jan 2015
• 

  CompuGain

  Aug 2017 - Jul 2018

  Product: GainSight – Cloud based solution for AnalyticsTech Stack: Python , AWS sagemaker, Lambda, Kinesis stream , Firehose, Redshift , Tableau, Flask GainSight is Analytical Engine which uses serverless , secured and fast data processing techniques which provides real time predictions, analysis and visualizations. Responsibilities• Linear regression model is trained and deployed for SWIFT messages (Financial transactional data) using AWS Sagemaker and exposed as RESTful services using Flask server• Lambda function developed for tapping kinesis streaming data and predicted the target by calling Flask web services and updated in Redshift.• Real time visualizations/dashboards are developed from Redshift data and integrated with Web application for end users.Product: Chatbot (NLP) for bankTech Stack: Python - nltk, tensorflow ,kerasGoal is to build a chatbot with NMT (Neural Machine Translation) architecture. Chatbot built on the new seq2seq model (dynamic RNN) in tensorflow. Responsibilities• Data (Question and Answer conversations) from client and open sources are used for model training• Natural language processing techniques are used for data preprocessing – tokenization, case convertion, limiting question and answers length, converting string to vector.• NMT model built with Encoder and Decoder• Model tuned with different hyper parameters – epochs, batch size• Evaluated model performance with accuracy.• Developed UI to provide interactive communication between user and chatbot Show less Proof of Concepts –POC’sTech Stack: Python - nltk, tensorflow ,kerasAs part of Centre of Excellence R&D team , goal is to develop proof of concepts with state of art technologies .• Recommendation Systems : Implemented various recommendation systems algorithms like factorization machines, LDA, K means collaborative filtering in amazon sagemaker and demonstrated to use docker images to run custom algorithms in sagemaker.• Sentiment analysis on healthcare provider’s comments data set: Built a model for predicting the sentiment about the hospital from review /comment. Sentiment analysis on healthcare provider’s comments dataset to predict the sentiment• Data Science life cycle platform: Built a platform for data scientists where they can load data, preprocess and analyze it, build models and select the best model based on performance measures and publish it. Data Engineers /Non data scientists who test on domain specific data and deploy into production. • Medical Records Classification: Built a Multi class classifier for predicting the disease based on text using Natural language processing (NLP) techniques with deep learning models. Show less

  • Lead Data Scientist

    Aug 2017 - Jul 2018

  • Lead Data Scientist

    Aug 2017 - Jul 2018
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  ADP

  Aug 2018 - now

  Senior Data Scientist