Backend engineer on quickbooks payroll team developing RESTful APIs and services that enable customers to seamlessly explore, initiate, modify, and terminate payroll services.

Collaborate with cross-functional teams to maintain and improve asynchronous event-driven systems using Kafka and JMS, implementing root cause fixes and performance optimizations for reliable payroll integration with accounting, identity, billing and tax filing systems.

Led efforts to improve playwright test resiliency through the strategic integration of AI agents (Stagehand), reducing long-standing pipeline flakiness and ensuring more reliable CI/CD deployment cycles.

Backend leaning full-stack software engineer for Meta's capacity planning team through Deloitte, helping the capacity planning team ensure optimal use of Meta infrastructure while maintaining high availability and capacity sufficiency.

• Contributed to the development efforts for integration of Meta Capacity Planning (MCP), a new process of planning for attributing usage and cost to specific products enabling better ROI-based decisions.

• Contributed to integration of MCP solver with internal modules responsible for regionalization of resources allocating billions of dollars in hardware investments through strategic quarterly planning.

• Implemented robust business validation processes through unit tests using the Pytest framework, ensuring the solver’s outputs plans honor service, infrastructure,financial, and business constraints.

• Developed CLI capabilities to automate the reporting of solver validation errors, seamlessly integrating these reports with Google Sheets APIs for enhanced visibility and decision-making.

• Collaborated with cross-functional teams to refine the integration between legacy systems and new MCP-driven processes, improving overall efficiency and accuracy in hardware forecasting and allocation.

• Implement end-to-end features for interactive UIs to analyze and manage existing capacity and improve planning workflows.

• Implement automation tools and visualization dashboards to improve the efficiency of quarterly planning workflows by more than 30%.

Technologies used: Hack, React, Python, Apache Thrift, MYSQL

Streamline California's overwhelmed unemployment IT system during the COVID-19 surge to process over 20 million claims and distribute 122 billion dollars in benefit payments.

• Developed a Python application to drive business process optimization that resulted in 80% improved productivity of the business agents serving more than 3 million customer requests per month.

• Leveraged Selenium and Beautiful Soup in Python to develop scripts for web scraping.

Used Python's Flask framework for web application prototype.

• Leveraged automation tools like Python and VBA macros to automate the billing and invoicing process for call center operations involving more than 500 agents.

• Worked on debugging and maintaining the automation scripts that processed the raw quality assurance survey to generate automated reports and dashboards reportable to the client.

• Used robotic process automation tools like UI Vision to automate general and administrative web tasks to optimize data entry and validation four times.

• Built a prototype utilizing open-source natural language processing libraries such as NLTK and spaCy to parse and summarize essential information from PDF documents, facilitating efficient extraction of key data, enhancing workflow productivity, and reducing manual effort.

Fostered an inclusive community and provided resources for more than 70 upper-class residents.

Led and conducted activities geared toward community building and academic success.

AI research on card solitaire game called Birds Of A Feather.

• Optimized the algorithms used in base code to cut the average time of 'solvability ' from 1270 m.s to 5 m.s.

• Led heuristics design, automation of data extraction, and statistical analysis.

Presented at the Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19) held(Jan 27 - Feb 1, 2019) in Honolulu, Hawaii, USA.