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software engineering
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Work Experience:
Charles River Development
Software Development Intern
Jul 2022 - Dec 2022
- Followed test driven approach to develop a simulator module in Java to replicate FIX initiator using quickfixj library to produce simulated BUY/SELL order singles, minimizing discrepancies related to incomplete data instances by 10%.
- Migrated from ant-based build to Gradle build for better dependency management and moved version control from perforce to GitHub to facilitate collaboration, flexibility, and streamline the CI/CD pipeline through Azure integration.
- Built a log analyzer using java to observe processing time of FIX messages improving performance testing time by more than 90%.
- Collaborated with a team of five to debug and enhance IHUB Java modules, implemented new features and utilized JUnit for automated testing. Applied TDD/BDD methods, leading to improved reliability in database interactions using JPA (Hibernate).
- Designed and implemented a real time data warehouse pipeline processing more than hundred million stock transactions from SQL server to Snowflake using python and shell scripts for data warehousing historic data.
- Performed cost analysis POC for different types of customer queries and optimized the Datawarehouse cost by 30 percent.
- Developed and debugged a pipeline for performance testing using Jenkins, which included creating tasks for installing the application and database onto Azure servers. This automated the performance report and decreased the testing time significantly.
Hughes Systique
Senior Engineer
Jul 2020 - Aug 2021
- Created a web application leveraging React to display various API responses cutting down post-deployment regression testing time by 80% and employed Site 24x7 tool to monitor availability of API services enabling the team to debug API issues.
- Utilized user input to enhance interface of a Node & React based self-care web application, resulting in a 40% decrease in support tickets related to API interactions, demonstrating a strong focus on user-centric design and continuous improvement.
- Engineered and deployed a scalable Python/Flask-based AI microservice for POC using Docker on AWS ECS, effectively identifying spam messages. Integrated successfully with a .NET (C#) backend via REST APIs, showcasing cross-platform compatibility.
- Utilized Redux Thunks for asynchronous API interactions, enhancing user-specific state management and code debuggability.
- Used python notebooks to conduct extensive hyperparameter tuning to evaluate different models, to develop a robust Random Forest model for spam detection, ensuring high accuracy and adaptability to nonlinearity for real-time chat message monitoring and filtering.
- Achieved 60% reduction in customer escalation by streamlining the internet usage consumption dashboard through query optimization and granular data storage implementation, applying Python, SQL loader, CRON, and Shell Scripts.
- Deployed releases and patches in production, resolving post-deployment issues and collaborating with Level 3 Support and Product teams for lasting fixes, resulting in a 30% reduction in critical incidents over six months.
- Drove migration and upgrade of legacy applications to containers (OpenShift)/cloud (AWS), from strategy building to final execution, optimizing the deployment process, IT costs, service availability, and achieving 100% compliance with best practices.
- Debugged and resolved L2 and L3 issues related to the provisioning and commissioning of work orders, meeting the 100% SLA.
- Utilized F5 Big-IP to incorporate new infrastructure elements such as nodes, pools, VIPs, and routes and performed troubleshooting on applications, Linux services, Active Directory, DNS, and various network protocols including HTTP, DHCP, FTP, and TCP/IP
Ericsson
Software Engineer
Nov 2015 - May 2020
- Implemented over 20 features using JavaScript and rapid application development techniques to create a ticketing application, Micro-focus Service Manager. This enhanced IT service management processes, including Incident, Problem, and Change Management.
- Integrated the service manager application with CRM using RESTful web services, developed a work order dashboard feature, and enhanced automatic ticket routing, reducing incorrect assignments to resolver groups by 20%.
- Utilized Java Spring boot framework to architect backend solution implementing a Trouble-Ticket to Event integration through restful APIs, schemas, log-parser, triggers, and processes, resulting in a 30% reduction in event resolution time.
- Lead deployment releases, making significant contribution to scrum meetings, code review, sprint planning, and retrospectives in compliance with Agile SDLC principles, additionally lead team building activities to foster problem-solving and communication.
- Streamlined SLA/OLA reporting with PL/SQL and shell scripts, utilized Python for ticket data processing, and implemented Django REST for API development, enhancing data access and visualization, leading to a $20,000 quarterly savings in penalties.
- Engineered and optimized SQL-based ETL processes to transfer data from data marts to a staging database, leading to the development of insightful BI reports and dashboards with iDashboards and Tableau.
- Orchestrated the integration of multiple data marts into the data warehouse staging database using DB links and jobs, streamlining data accessibility, and supporting business operations.
- Automated production activities by executing corrective actions on critical failures leveraging bash scripting, saving 80 hours weekly.
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