Results-oriented Lead Software Engineer at EPAM Systems specializing in .NET and Azure technologies. Demonstrated expertise in API development and technical mentorship, significantly enhancing project outcomes and team performance. Skilled in integrating complex systems within Agile frameworks to deliver innovative solutions that improve data analysis and operational efficiency. Aiming to leverage technical acumen to further drive excellence in software engineering projects.
Client: Thomson Reuters
Project: Smart Analysis
Smart Analysis was a part of Advance flow audit suit. We used to analyze companies Ledger and sub ledger data for any anomalies . The companies store their data in various accounting products and the export of these products are not similar . So the data was being obtained from a company called Validis which used to collect data from various accounting package and created an output in a uniform sheet.
The data was being imported using a webhook in the Validis API's. We used to store the data in Azure Data storage and then imported the data to database to do further analysis.
Responsibilities:
Client: Aarhus University, Denmark
Project: Intelligent Buildings
Building a single IT-managed network infrastructure that controls, monitors, and assesses several building-wide systems, like lighting, alarms, occupancy, security, HVAC, etc.
Integrating with various sources to forecast the market rates, and efficiently manage energy consumption.
Project: Smart Spaces
The project deals with an extensible monitoring system, a domain- and data-agnostic, Azure-based product in IoT.
It has a front-end web application where users can view all information related to all entities' consumption data and analyze it.
The solution onboard various device sensors gets telemetry data, stores it in Azure Data Explorer, visualizes the data with Azure Digital Twins implementation, and also in Grafana reports.
Responsibilities:
Cloud and Devops Skills
Project : Research Management System
IRN(Internal Research Notes) is a financial data management application that mainly focuses on storing and manipulating financial data for a firm which is used on Sell side as well as on Buy side to invest their assets
Responsibilities:
Tools/Technology:
Project: RIsk Grade System
RGS is a business lending application that helps Relationship manager and credit manager to determine risk associated with customer by calculating Risk Grade of the customer with the help of his earnings and expenses
Responsibilities:
Tools/Technologies: C#, SQL Server
Hyderabad, Telangana, +91-7893373501, kumarvishnu.yadav@gmail.com