Jun 2021 – Jun 2023 · 2 yrs · Remote

• Developed on and maintained landing pages for our company in PHP, with traffic of ~100k visits/day.
• Integrated many analytics tools like GA/GTM, Meta helpers, VWO, etc.
• Redesigned landing pages in JS/TypeScript for speed optimisation. We managed to reduce the page load time from ~5s to <1s, resulting in a 30% reduction in CPL which contributed to around $5M/month savings
• Integrated payment gateways for various countries, such as PayPal, Xendit, Affirm, Adyen, Tazapay
• Designed a content management system for marketing team to design landing pages without tech
• involvement, allowing them to freely experiment and create landing pages with maximum conversion rates

Jul 2020 – Dec 2020 · 5 mos · Remote

• Project Title: Automatic leather defect classification using deep learning
• Under the guidance of Dr. Malathy Jawahar, I learned the theory of deep learning and neural networks and my research aimed to implement a classifier to automatically detect and classify defects in leather given their images.I managed to build a model to classify roundworms as dead or alive with an accuracy of 74% to put my learning to test. I then went on to built a model that classified chest x-rays of people infected with or not infected with COVID-19 with an accuracy of 85%, which was to be transferred to the leather dataset.

May 2019 – Jul 2019 · 2 mos · Damanjodi, Odisha, India

Aug 2018 – Apr 2019 · 8 mos · Goa

• Zephyr is the annual inter-hostel fest of BITS Goa, organised by a team called Zephyr Controls. As the Technical Head of Zephyr Controls, I coordinated and helped organise all the technical events that took place as a part of this fest. I also helped manage the group of 40-50 people that formed Zephyr Controls.

Jun 2018 – Jul 2018 · 1 mo · Pune Area, India

• Worked on tasks assisting an online contract management service. I was part of the ML/AI team, which worked on the company's main product and on customising it for some customers, implementing various upcoming technologies like blockchain. Learned and applied basic machine learning and a few image processing tools to classify contracts and to classify portions of contracts into predetermined categories. Some of my code was checked in to the company's repository.