Chaitanya Parwatkar
Software Intern @Usc Shoah Foundation
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WORK HISTORY
Software Intern @Usc Shoah Foundation
Los Angeles, CA, US
Built and maintained scalable backend infrastructure using Python, Flask, and MySQL to process and manage over student applications annually, automating intake, validation, and administrative workflows and reducing manual effort by 85%– Designed responsive UI components using React and Tailwind, integrated API-driven form systems, and deployed role-based dashboards that improved admin efficiency and reduced onboarding time by 40%– Automated data cleaning pipelines and deployed a custom AI chatbot trained on Shoah-specific content to handle applicant inquiries, reducing support email volume and enabling real-time interaction with program candidates
EDUCATION
University of Southern California
Master of Science - MS, Computer Science
California State University, Monterey Bay
Business Administration (Minor)
California State University, Monterey Bay
Bachelor of Science - BS
ABOUT CHAITANYA PARWATKAR
I am a high-impact Software Engineer and Data Engineer with a proven record of driving innovation and building production-grade systems across academia, startups, and enterprise tech. With experience at Roambee, ServiceNow (via Scriptpicks), and USC’s top research labs, I don’t just code—I architect end-to-end solutions that scale.At Roambee, I built full-stack applications for real-time ERP logistics tracking, integrating Python, Java, and JavaScript to streamline global IoT infrastructure. As a Data Engineer at Scriptpicks, I led mission-critical ETL pipeline development using Apache Airflow, SQL, and Python—automating complex ServiceNow ITSM data flows with precision and speed.Currently, at USC’s Shoah Foundation, I’m enhancing backend systems and building AI-powered tools (Flask, MySQL, React, Tailwind) that automate and accelerate data operations for thousands of student applications. Simultaneously, my research at Keck Medicine of USC focuses on cutting-edge neural architectures like Tacotron 2 and HiFi-GAN, where I’ve deployed high-fidelity TTS pipelines for clinical AI.Whether it’s debugging AV signal degradation at USC ITS, launching AI chatbots trained on domain-specific data, or optimizing form-driven workflows that reduce manual effort by 85%, I consistently deliver measurable impact.My stack spans Python, Java, SQL, Flask, React, Airflow, MySQL, AWS, and more—with a bias toward action and an eye for scalable, maintainable architecture. I thrive in fast-paced, collaborative environments where deep thinking meets deep execution.If you’re looking for a driven engineer who merges backend muscle with AI smarts—and backs it all up with real-world impact—I’m the person to talk to.
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