Jul 2024 – Mar 2025 · 8 mos · Remote

Feb 2022 – Jun 2024 · 2 yrs 4 mos · Bengaluru, Karnataka, India

• As a software engineer at Teachmint, I have worked on:
• The creation of Staff Attendance, the most used feature on our B2B product, showcasing my expertise in designing user-friendly features.
• Leave Management integration with Staff Attendance, allowing teachers to view attendance summaries and download reports for admins.
• Furthermore, I contributed to:
• The evaluation side of report cards, providing statistics on marks and attendance and giving teachers the ability to add scores from the app.
• Changing the creation flow of the report card and customizing it to better suit the needs of our users.
• One of my major accomplishments includes:
• Payroll feature to digitize manual payroll processing, providing real-time visibility on payroll disbursement for admins and payroll received for staff.
• Streamlined payroll setup via extensible multi-country settings, enabling dynamic calculation adjustments.
• Leveraged topological sorting to dynamically calculate dependent payroll components, including the optionality to add bonuses/deductions during the generation of payroll.
• Designed and architected CTC (salary) calculations for varied contract periods through a novel multi-date range system and streamlined employee compensation management by seamlessly integrating payroll and leave systems, automatically adjusting CTC for unpaid leaves.
• Architected and built an "Arrears" module for retroactive adjustments to salaries based on prior unpaid leaves and updated CTC, enhancing payroll flexibility.
• Architected a multi-regime, multi-year tax engine, calculating current tax based on prior payments, supporting diverse employee scenarios.
• Through my work at Teachmint, I have honed my skills in:
• Problem-solving, tackling complex challenges efficiently.
• Designing reliable systems that enhance user experience.
• Maintaining clean, scalable code, ensuring the stability and future growth.

Sep 2020 – Feb 2022 · 1 yr 5 mos

• Led end-to-end ownership of the Payments module by designing it from scratch and integrating it with multiple provider banks.
• Developed several API's such as UPI Collection, Validating UPI-ID, Payment links, Dynamic QR, Transaction status payment, and handled callbacks with metering after successful payment under the Payments module.
• Designed and implemented a URL shortener system for payment links and customized company QR to streamline the payment process for customers.
• Redesigned the existing create and manage virtual accounts feature to accommodate UPI submerchant onboarding, resulting in a more user-friendly experience.
• Generated consolidated transaction reports for customers by working on a new feature, providing real-time insights into their payment activities.

Jan 2020 – Jul 2020 · 6 mos · Hyderabad Area, India

• Led the end-to-end ownership of externalizing the PslipUI tool during my internship at Amazon, enabling its access from external fulfillment centers (FCs) beyond the Amazon network.
• Integrated multiple services in both front-end and back-end to print Pslips on external sites, showcasing my proficiency in full-stack development.
• Conducted rigorous integration testing of PslipUI using Selenium web driver and Capybara framework to ensure smooth functionality.
• My work had a significant impact as it enabled the access of the PslipUI tool from external networks, improving the overall efficiency of the payment process.

May 2019 – Jul 2019 · 2 mos · Hyderabad Area, India

• Utilized Pyspark to extract and filter relevant information from raw data in the Data Lake, enabling efficient extraction of previous years' Opportunity Revenue data.
• Developed multiple models using Statistical, Machine Learning, and Deep Learning techniques to enhance the accuracy of Opportunity Revenue predictions at any given point in time.
• Achieved significant impact by detecting and removing data irregularities at the source level, preventing downstream consumers from being impacted.
• Demonstrated expertise in data analytics, machine learning, and predictive modeling.