- Engineered and optimized a software solution to efficiently address and resolve over 10,000 client requests
daily.
- Guaranteed seamless functionality for 25,000+ daily user logins by implementing robust system stabilization
techniques.
- Safeguarded sensitive information through advanced encryption and decryption methodologies.
- Exemplified adherence to Agile principles, driving sprint efficiency and progress tracking through JIRA.
- Fostered collaboration and synergy within cross-disciplinary teams to deliver innovative solutions.
- Diagnosed and mitigated complex performance bottlenecks, including parallel task optimization and SQL query
tuning.
- Orchestrated large-scale API validation processes using Postman, ensuring flawless execution of thousands of
API calls in a single cycle.
- Designed and deployed a cutting-edge chatbot, streamlining customer service operations by minimizing manual
intervention and providing intelligent automated solutions.
SKILLS
| Programming Languages: |
C#, Python, Java, C++, JavaScript, TypeScript |
| Database Systems: |
MySQL, SQL Server, MongoDB |
| Cloud: |
Azure, AWS, Snowflake |
| WebApp: |
.NET, React, Node.js, Spring Boot |
| Source Control: |
GitLab, GitHub, Bitbucket |
| CI/CD: |
Jenkins, GitLab CI/CD, Azure DevOps |
| Development Cycle: |
Scrum, Agile |
| Tools: |
Postman, JIRA, Docker, Visual Studio, VSCode, SQL Server Management Studio |
WORK EXPERIENCE
Client360, Inquiry Point, Clover, and Chatbot
Responsibilities:
- Managed application instances on a cloud cluster, responsible for ensuring application health, monitoring
Splunk logs, and resolving any application bugs. Served as the primary point of contact for all
application-related issues.
- Reduced human responses by applying Semantic Kernel AI agent in some functions.
- Integrated AI API from another team into the product like summary of some inquiries.
- Contributed to the development of new structural approaches.
- Responsible for one instance working in production from end-to-end.
- Migrated legacy systems such as Service Center, FDIS, and Finxact to new services like Client360.
- Applied .NET Core and Framework (C#) to API projects and maintained current versions of libraries in use.
- Secured code to comply with Fortify scans, Sonatype, and WebInspect standards.
- Managed and maintained CI/CD pipelines in Cloud Harness and GitLab.
- Implemented micro service methodologies for API calls from other services.
- Maintained production servers with Azure Cloud and Lenz.
- Contributed to general API projects used across multiple web applications.
- Advanced use of Postman for API testing, validation, and support, including loop calls.
- Wrote efficient queries in SPLUNK logs to troubleshoot application issues.
- Worked efficiently with SQL to support various database operations.
- Transferred high-level software process knowledge to team members.
Client360 and Inquiry Point
Responsibilities:
- Developed and modified APIs using .NET, ensuring thorough testing with Postman for optimal functionality.
- Managed and implemented Continuous Integration/Continuous Deployment (CI/CD) pipelines using Jenkins and
GitLab.
- Designed and optimized SQL stored procedures to enhance API performance and reliability.
- Integrated microservices architecture and parallel API calls to improve application efficiency.
- Implemented background API execution to enhance performance and reduce latency.
- Automated efficient loop API calls within Postman for streamlined testing and monitoring.
- Utilized SPLUNK logs for in-depth debugging and resolution of technical issues.
- Built and deployed chatbots using IBM Watson, providing support for associates handling recurring cases.
- Configured Azure cloud services to deploy and maintain applications in the cloud environment.
- Refined code to pass Fortify security scans, incorporating new code versions and best practices.
- Contributed to onboarding by offering development insights and guidance to new hires.
- Conducted peer code reviews, offering performance enhancement suggestions and collaborative solutions.
ETL Developer for reporting and analyzing
(Wherescape Red and Teradata)
Responsibilities:
- Maintain system have some new feature to work with.
- Build new feature for new requirements.
- Code Unix shell script to generate report files of each month.
Pipeline developer for data
modernization (Snaplogic and SQL)
Responsibilities:
- Implement new requirements.
- Maintain the pipeline and test the data flow.
- Test data between the stages with Aurora SQL in AWS Buckets.
- Deploy new pipeline from source to target.
- Join daily scrum meeting and use Sprint to manage work.
Insights to Demand - Backend
(Python, SQL Database, and Azure)
Responsibilities:
- Download data from Sharepoint and extract to table with Pandas.
- Transform data by dropping non-sense or error values.
- Load data from and to Azure Datalake.
- Test and update to Azure SQL.
EDUCATION