Pallavi Mishra
I am a professional web developer as per current market trend.My main area of expertise has been in developing webpages using angular4, angular2,angular5,angular6,React.js,html, css, javascript, jquery, bootstrap. Team player with good listening skill and innovative ideas. Adopt mulitasked capable of bringing simultaneousweb app and repair projects to completion with full accuracy and efficiency.
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
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.
Conversational User Interface
Conversational User Interface (CUI) has rapidly become more and more popular among users. CUI is a concept of user interface, which communicates with the user through a dialogue. Its main task is to simplify user interaction with the product using voice interfaces and messengers. Under this focus area you can explore conversational AI design tools, chatbots and voice based applications to help you think about the next voice or text-based project.
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.
Performing Big Data Analytics using Apache Spark for .NET
Big Data is not a cult. We are living on the verge of a revolution that is touching every industry, business, and life on this planet. With millions of tweets, iMessage’s, Live streams, Facebook, and Instagram posts… terabytes and petabytes of data are being generated every second. And getting meaningful insight from this data is quite a challenge since the traditional databases and data warehouses are not able to handle the processing demands of these big data sets. One of the reasons is that these data sets need to be updated frequently and often in real-time as in case of stocks, application performance monitoring or user’s online activities. In response to the growing demand for tools and technologies for big data analytics, many organizations turned to NoSQL databases and Hadoop along with some of its companions’ analytics tools including YARN, MapReduce, Spark, Hive, Kafka, etc.