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Tarun Agarwal

Tarun, a creative technology leader with 20+ years of experience in strategizing and delivering data-driven solutions that fully leverage the organization's data as a strategic asset and improve organization's data as a strategic asset and improve organizational decision-making. At Accion Motifworks, Tarun is focused on enabling customers to leverage data, analytics, and AI for digital transformation by leveraging the Microsoft Azure Data Platform, cognitive services, machine learning and artificial intelligence.

Microsoft Azure | | Deep Learning | Machine Learning | Hadoop, HDFS | Hive | Spark | Kafka | Cassandra | Amazon AWS | Snowflake | Tableau | MicroStrategy | Power BI | QlikView | Business Objects | Cognos | Oracle SQL | JSON, Parquet

Suman Kalyan

I'm a hands-on Machine Learning Leader with 20 + years of data science & Analytics consulting experience. I have worked across multiple industry verticals that include Telecom, Industrial Automation, Healthcare, Hitech, and Higher education.

As part of Ness Digital engineering, I’m currently running a Machine Learning practice for providing strategic AI advisory Services to multiple industry verticals. I had the opportunity to work on niche areas like AI-driven precision medicine in the area of evidence-based Oncology for a Healthcare device manufacturer, AI-enabled IT Service management implementation for a global Hitech major, and AI platform maturity assessments.

I’m hands-on with many tools & frameworks used in Machine Learning that include but are not limited to Python, Tensorflow/ Keras, Scikit Learn, PyTorch, and Kubernetes. I have experience in Deep Learning modeling approaches based on various architectures including convolutional neural networks ( V-Net, Inception), LSTMs, RNNs, and multi-modal networks, I have applied these approaches to Computer vision, NLP based problem statements like auto segmentation & target volume detection for DICOM CT images, conversion of verbose business rules into executable logic, predicting the success of content based on plot and more.

My areas of interest in AI are Federated Learning, edge computing in Industrial IoT, distributed & decentralized ML architectures, and predictive/ preventive maintenance problems. I have played multiple roles in my AI consulting career including - Data Scientist, Product Manager, AI strategy consultant.

Satyajit Bandyopadhyay

Satyajit is a result-oriented leader with deep experience in R&D, product engineering life-cycle and IT services. He has played a pivotal role to build multiple innovation labs / EDCs in US/Europe/APAC/Eastern Europe for Enterprise and ISV customers. Prior to joining Accion, Sat held leadership positions at Edkal, Ness Digital Engineering, HP-Verifone, Wipro, iGate and Tata Steel.

Soni Preeti Milan

Total 6 Yr of Exp in Testing.
Domain Exp : Airline ,Telecom, Game Testing , E-Commerce Domain.
Skillset : Exp in Mobile Application Testing , Game Testing , Mobile Web Application Testing , Agile Certified, Worked on AWS, Appium , SQL , IBM Tool - RTC , RTM , Also have experience with Client Interation , Sprint Demo with Client , Charles Proxy Exp , Soap UI Tool , Postman Tool, Linux,Manual Testing , Leading Team and Monitering , Taking Interviews , Quick Learner , SOAP UI Automation,Team Handling

How serviceNow Customer service Management platform gives a modern transformation to a siloed customer service department?

Pranav Mehta

Gone are the days when customer service was a siloed function which catered to all service related issues independently. As the competition goes up, and the customer is more aware than ever, you need an integrated customer service management platform that spans across your organization to deliver tangible business results.

Containers & Service Mesh

A service mesh is a new paradigm that provides containers and microservices-based applications with services integrated directly within the compute cluster. A service mesh provides monitoring, scalability, and high availability services for modern applications through APIs instead of using discrete appliances. Implementing a service mesh layer ensures that communication among containerized infrastructure services is fast, reliable and secure. It is a configurable, low‑latency infrastructure layer that handles service-to-service communication.

FPG: Digital Transformation and Platform Modernization for Frontline Sales Training

Saurabh Periwal

Dive deep into the platform re-engineering journey taken by the FPG EDC team as they modernized Frontline Performance Group (FPG), a 25 years old traditional sales training and coaching company deeply rooted in legacy systems, into a SaaS-based modern tech company. The new platform studies and assesses the performance of agents using KPI analytics and identifies the areas of improvement needed. Modernization of legacy monolithic architecture using Microservices for Web application development. React-native mobile application showing analytics and card framework showing dynamic cards based on roles. Digital transformation using UX, Data, Cloud, and Devops engineering to become a SaaS-based tech company.

Faisal Sayed

  • 8 years experience in Web Development in various platforms
  • Has lead various teams with diverse skills on multiple tech stack, including AngularJS, ReactJS, NodeJS, MongoDB, etc.
  • Worked on NimbleTV project to implement Polyglot Persistance system. Serializing data between MySQL, SOLR and MongoDB.
  • Worked on browser automation and E2E test building with Selenium / PHPWebDriver / Protractor etc.
  • Worked as technical lead of Rackspace’s Rapid Response Team delivering time sensitive projects using Encore-UI/Angular library.
  • Worked as technical lead for Entertainment Partner's client onboarding tool, implementing Breeze platform services for the client.
  • Worked as technical lead for Journely, and worked on various AWS services.
  • Working as senior backend developer on Noumena, implementing Breeze platform services for the client.


  • Frontend: HTML5, CSS3, Javascript, JQuery, AngularJS, ReactJS, Twitter bootstrap

  • Backend: NodeJS, ExpressJS, PHP, AWS Lambda

  • Database: MongoDB, MySQL, MariaDB, SOLR, Elastic Search, DynamoDB, GraphQL

  • Testing: Mocha, Karma, Protractor, Selenium, Tsung

  • Project Tools: Gulp, Grunt

  • Versioning: Git, SVN

  • OS: Ubuntu, Windows

  • Development Environments: AWS Amplify, Docker

  • Others: Workflow, IAM

Google Cloud Platform

Google Cloud platform is a suite of public cloud computing services offered by Google. The platform includes a range of hosted services for compute, storage and application development that run on Google hardware. Google Cloud platform services can be accessed by software developers, cloud administrators and other enterprise IT professionals over the public internet or through a dedicated network connection.

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