Abhijit Banerjee
16 years of rich experience in Quality Engineering & Assurance within Insurance and Banking domains across India, USA and Canada. Currently leading North American Sales and Canadian Branch QE Portfolio and accountable for entire QE delivery and Transformation. Played QA Program Manager and Test Manager roles over the last 5 years and leading a team of 40+ members in strategic projects and complex programs
Managing multi-million $ engagement with cross LOBs and multi-vendor environment. Vast experience in leading and implementing Enterprise testing transformation (Delivery, Process and Operational) through different KPIs and measuring in different maturity levels towards Best in Class (BIC). Experience in Resource planning, Capacity planning and utilization, Risk and impact tracking and effective communication to the stakeholders
Spearheaded multiple successful Agile Transformations and worked as an Agile Champion. Hands-on experience in Estimation, Requirement analysis, Shift-Left, Test Design, Test execution, Defect tracking, Daily Defect triage, Test Status Summary Reports Strong working experience in Waterfall, Agile and Scrum methodologies. Working experience in JIRA Consulting, JIRA Integration with Test management tools (ALM, TFS), JIRA configuration changes and SWOT analysis.
Abhimanyu Tomar
- Experienced in solution design and architecture, development, project management and delivery of enterprise search solutions
- Research and implement solution that fits project requirements.
- Mentoring development teams implement best practices and optimize development
- Skilled in front-end application design for products involving complex user interfaces
- Worked on big data architecture handling large volumes of data & set up infrastructure for handling multi-terabyte data repositories
- Contributed in the development of Oodebe asynchronous I/O framework & performance testing platforms
Capabilities
- SDLC
- Open Source
- UI/UX Development
- HTML5, CSS, JS
- Jquery, Jquery UI,Bootstrap
- Data Modeling
- SQL/NoSql Databases
- Big Data/NoSql
- Agile/SCRUM
Re-engineering Monolithic Legacy Applications to Microservices for an Agile Manifesto
A leading software vendor for the entertainment industry modernized its application suite from a monolithic on-premise architecture to a micro-services based cloud architecture on AWS.
Siva Nomula
Experienced in developing web applications using Asp.Net MVC, C#, Web Api, .Net Core Javascript, jQuery, Angular5, HTML/CSS and build tools.
Expertise in SQL, MySQL and Oracle databases. Worked on NoSQL Databases Like Mongo DB
Experience in developing product using Test Driven Development technique.
Extensively followed Agile Methodology and Scrum process for iterative planing, development and delivery techniques.
System design and development, Continues Delivery (CD) using MVC patterns with design patterns, code review.
Capabilities:
C#, ASP.Net Web Forms, ASP.Net MVC, .Net Core
Web Api, Web Services, Windows Services, WCF, Entity Framework, LINQ
Javascript, jQuery, AngularJs, HTML, CSS, Grunt
Unit Test Fixtures: nUnit, Jasmine javascript tests, SoapUI web service tests
Agile and Scrum practices, used TFS & JIRA.
Certifications:
MCSD: Web Applications.
MongoDB : M101N: MongoDB for .NET Developers
Bhushan Bonde
Bhushan Bonde leads the Innovation Development for Pharmaceutical R&D, primarily focused on application of AI and ML for developing better disease treatments and using novel methods like Quantum Computing (QC) for application to Drug Discovery and AI Deep Learning methods.
With more than 2 decades of experience, Bhushan is an expert in meta and advanced data analytics using Machine and AI/Deep Learning techniques for drug discovery, Systems Biology modelling, Genetics (GWAS/PheWAS) based Patient stratification and NGS data analysis.
Bhushan has worked across industries universities and government research institutes throughout his career. Bhushan received his PhD in Systems Biology and Mathematical Modelling from Oxford University in 2006, and also holds an interdisciplinary M. Tech in Bioprocess technology/Chemical Eng. (2001) and a Bachelor in Pharmacy (1998).
He has a deep interest in biological data mining and visualization, mathematical algorithm design, high-performance scientific computing, and simulation modelling of biological systems. Bhushan is also always on the lookout for disruptive technologies such as next-generation sequencing, NoSQL techniques for data integration, gene signature-based mapping for drug repurposing, digital/sensors data, and biological imaging.
Azeezullah
- 10+ years of IT industry experience in Web and Mobile Applications.
- Experienced in leading and managing cross-functional teams through the entire application development life cycle
- Interacted with Business Analysts, Quality Assurance and Customer Support teams.
- Implemented enterprise solutions as well as products in domains ranging from Entertainment,Finance, Healthcare, HR and Retail.
- Created and implemented on web service integration using (SOAP, REST, JSON, XML).
- Created and Published Android Mobile Apps into App store.
- Expertise in Debugging and Optimizing performance for the apps and keep up to date on the latest industry trends in Web and Mobile technologies.
- Review deliverables prepared by team before passing to client.
Capabilities
- Application Architecture
- Cloud Computing
- Enterprise Applications
- Mobile Applications
- Social Networking
- Solution Architecture
- Open Source
- Java/J2EE
- Android/PHP
- SOAP and REST Web-services
- Oracle, Mysql and Sybase databases
- Agile Development
- Big Data / NoSQL
- Avro, Pig, Zookeeper
- UI/UX Development
Which framework to choose - OpenStack, AWS, Heroku, CloudFoundry!
Thanks to Alex Popsecu’s NoSql blog, found a well articulated thesis by Johan den Haan, CTO at Mendix. Johan proposes a framework that describes the various layers of cloud platform services starting from virtualized hardware up to end-user software applications.
Embracing Open Source Databases
According to Gartner, the five leading commercial relational database vendors by revenue in 2011 were Oracle(48.8%), IBM (20.2%), Microsoft (17.0%), SAP including Sybase (4.6%), and Teradata (3.7%). The high cost and vendor restrictions that come with traditional relational database vendors like Oracle are driving away end users. Open source and open-source-based relational databases have matured.
How to choose a NoSQL database looking at the technology capabilities and limitations
The big data technology landscape consists of such a large number of choices, that often the most critical step in successfully implementing a solution is choosing the right platform that will address the requirements of the problem at hand, and that is sustainable in the long term.
Data Engineering
Data Engineering has become increasingly relevant in the highly-connected, AI driven world. Today, data architectures are as vast and varied as the use-cases they support. For most of us, data architecture simply meant running an RDBMS for all of our needs, from transactional read-write workloads to ad-hoc point and scan analytics loads. As data grew in numbers more use-cases for data-driven products such as fraud detection systems, recommender systems, personalization services came into existence.
Data engineers entered the field to solve our problems by introducing specialized data stores for example; search engines, graph engines, large scale data processing such as Spark, NoSQL, stream processing and the machinery to glue them together like ETL pipelines, Kafka, Sqoop, Flume.