Feb 2025 – Jun 2025 · 4 mos · Bengaluru, Karnataka, India · Hybrid

Feb 2023 – Feb 2025 · 2 yrs · Bengaluru, Karnataka, India · Hybrid

Mar 2024 – Feb 2025 · 11 mos

May 2022 – Feb 2023 · 9 mos · Bangalore Urban, Karnataka, India · On-site

• As a senior member of the "PaymentPage/SDK" Team at JUSPAY, I played a key role in developing the payment pages for leading e-commerce giants.
• One of my significant contributions included implementing a feature for payments via Gift Cards, which was live and actively utilized by multiple renowned merchants such as "Mamaearth," "MxPlayer," and "e-Glam." Together, these merchants catered to a user base exceeding 5 million worldwide.
• In my role, I focused on developing a configurable UI using "Purescript" and "Javascript." This innovative approach allowed the payment page to dynamically render based on the configuration JSON, encompassing UI elements like color schemes, padding, and margins, tailored to each merchant's specifications.
• My work extensively involved complex functional programming to ensure seamless functionality without encountering any edge cases or runtime errors. This meticulous approach guaranteed a smooth user experience and enhanced overall reliability.
• I also worked on developing a "Split Payments" feature, which allowed users to divide the total payment amount between two different payment instruments. This endeavor demonstrated my commitment to driving innovation and enhancing payment flexibility within the e-commerce ecosystem.

Jun 2021 – Apr 2022 · 10 mos

• Spearheaded projects within the Graphics Power Projection Team aimed at projecting powers for GPUs before silicon development.
• Developed the Graphics Chip Virus for Intel GPUs, mainly for MTL, and employed machine learning algorithms to interpolate and automate various architectures.
• Led statistical analysis efforts and developed automation scripts for multiple architectures, including the creation of the "Cdyn-Timegraph" tool to analyze effective power consumption by workloads over time.
• Worked in automating several ALPS/Kaolin power estimation flows, including Interpolation formula development (piecewise linear and non-linear) for CDYNwt interpolation as a function of Toggle Rates and Regression test framework development for all ALPS CDYN estimation flows (Analytical, Simulation).
• Utilized expertise in Python, Linear Regression, Data Analytics, Core Assembly Programming, and Perl Script to drive technological advancements within the company.

Jul 2020 – Jun 2021 · 11 mos

Dec 2019 – Jan 2020 · 1 mo · Nagpur Area, India

Jun 2019 – Jul 2019 · 1 mo · Chandigarh Area, India