Jan 2024 – Sep 2024 · 8 mos

• Led the development of a proactive configuration diagnostics system, enabling early detection and resolution of setup issues. This initiative resulted in a 40% reduction in support tickets and significantly improved onboarding quality for new clients.
• Maintained and optimized 5+ UAT environments, ensuring high reliability and availability across staging layers. Implemented automated recovery workflows and preventive monitoring, sustaining 99.9%+ system uptime.

Oct 2022 – Dec 2023 · 1 yr 2 mos

• Partnered with product managers and QA leads to create and maintain product documentation and integration guides, accelerating internal feature adoption and improving onboarding efficiency for new engineers by 30%.
• Mentored and led a cohort of 7 interns, providing technical onboarding, code reviews, and hands-on training in our Java/Spring-based backend ecosystem. Successfully transitioned 5 interns into full-time contributors and reduced average ramp-up time by 50%.

Jul 2021 – Sep 2022 · 1 yr 2 mos

• Developed and designed a generic Framework to integrate REST and SOAP API’s with our cloud system, reducing the effort by 90%.
• Collaborated with multiple teams within the organization to build new features, enhance existing ones and improve the overall product design.

Sep 2020 – Jun 2021 · 9 mos

• Developed jobs (events and cron-based) that performed complex calculations on huge data and then load them into the DB, with redundancies for DB-related issues. Technologies used: - Java Scheduler, Hibernate and Spring.
• Developed a common framework to consume data sent by 3rd party API’s and store it in our system, reducing the effort by 80%. Technologies used: - Java Parsers, JDBC, JSON, XML and XSLT.
• Mentored 15+ interns and made them comfortable with our product and a part of the tech stack used in our organization.

Jul 2019 – Aug 2020 · 1 yr 1 mo

• Built an AI-enabled digital assistant that enabled users to query financial data (invoices, AR, credit info) and extract key insights, improving productivity and reducing manual data exploration by 90%.
• Developed email scrapers to automate data extraction and ingestion, achieving ~95% automation in the acquisition pipeline.

May 2019 – Jun 2019 · 1 mo

• The summer internship required us to Build an AI-Enabled FinTech B2B Cloud Application.
• It involved:
• Understanding different aspects of product development such as identifying appropriate user requirement.
• Creating a full stack web based product using relevant UI Components and Backend Design.
• Building appropriate data models and machine learning models on the given use case.
• Showing the predictions on the developed UI to enhance the user experience.