Rohit Ramesh Shetty

Developed an end-to-end Applicant Tracking System (ATS) using Python and SQL that parsed candidate resumes from SharePoint, automated assessment workflows, and improved shortlisting efficiency by 40% Engineered robust data pipelines for large-scale data ingestion and migration, enabling efficient processing and transformation of high-volume tabular datasets across systems Built an AI-powered chatbot with Azure OpenAI to interactively query and visualize structured Excel data, boosting business decision-making and reducing manual analysis time by 35%

Data Associate – AI & Data at Delphi Consultant Middle East (2024-08 – 2024-12)

• Developed an end-to-end Applicant Tracking System (ATS) using Python and SQL that parsed candidate resumes from SharePoint, automated assessment workflows, and improved shortlisting efficiency by 40%
• Engineered robust data pipelines for large-scale data ingestion and migration, enabling efficient processing and transformation of high-volume tabular datasets across systems
• Built an AI-powered chatbot with Azure OpenAI to interactively query and visualize structured Excel data, boosting business decision-making and reducing manual analysis time by 35%

Software Engineer Intern at BTB – Be The Bank (2024-01 – 2024-07)

• Architected and deployed a secure M-Pesa-integrated backend utilizing Python and REST APIs to support personal lending and microfinance transactions for BTB's Kenya expansion, enhancing financial inclusion in East Africa
• Spearheaded a team of 4 engineers in building transaction processing pipelines, incorporating webhooks for real-time updates and accurate logging, catalyzing seamless integration with existing frontend for Kenyan users
• Collaborated with stakeholders from Israel's top P2P lending platform to design a scalable loan origination system leveraging the M-Pesa sandbox

Software Engineer Intern at Spay India (2023-01 – 2023-04)

• Led the redevelopment of Spay India's B2B payment platform by designing modern frontend interfaces using React and integrating UPI-based payment options to enhance user accessibility
• Collaborated with senior engineers to refactor 10,000+ lines of legacy code, revamping load times by 40% and delivering a responsive, scalable, and mobile-friendly web application for 5+ fintech clients
• Tested and integrated UI components end-to-end, driving cross-browser compatibility and seamless backend integration

Master of Science in Computer Science – University of Southern California (2025-01 – 2026-12)

Bachelor of Technology in Computer Engineering, Minor in Data Science – Ramrao Adik Institute of Technology (2020-07 – 2024-07)