San Francisco Bay Area
Software Development Engineer with proven experience at Adobe and a strong foundation in full-stack development, cloud computing, microservices, and AI-driven solutions. Currently pursuing a Master of Information Systems Management at Carnegie Mellon University (Dec 2026), with advanced coursework in data structures, algorithms, object-oriented programming, and software engineering. I have engineered, optimized, and delivered scalable solutions that enhance performance, accessibility, and global reach: Engineered an AI-powered video translation microservice, reducing manual translation time by 60% and enabling dubbing/subtitling in 10+ languages. Developed and led the creation of GLaaS Verify, a localization QA platform that improved accuracy and reduced validation time for 100+ internationalized products. Optimized Adobe Express with WCAG-compliant enhancements, increasing accessibility audit scores by 42% and benefiting millions of users. Designed and deployed scalable front-end features that reduced page load times by 20%, improving user experience for global customers. Invented and patented an award-winning Smart Helmet System (TechFest IIT Bombay Winner, Road Safety Hackathon Runner-Up). Core Skills : Java | Python | C++ | JavaScript | TypeScript | React.js | Spring Boot | REST APIs | Cloud Computing (AWS, Azure, GCP) | Microservices | LLD | HLD | Full-Stack Development | Generative AI | Retrieval-Augmented Generation (RAG) | Chatbot Development | Machine Learning | Distributed Systems | Internationalization | Localization | Accessibility (WCAG Compliance) | Agile Development | Git/GitHub | CI/CD I thrive at the intersection of software engineering, AI, and cloud technologies, with a track record of delivering measurable impact in performance, accessibility, and innovation. Open to opportunities in software engineering, AI/ML applications, and cloud-native development.
Microsoft is generously providing us with up to $150,000 in Azure credits and $2500 in OpenAl API credits, and mentorship from Azure Engineers to help us scale.
Prof. Michael J. McCarthy - 95-771: Data Structures and Algorithms for Information Processing • Assess and mentor students on implementations of Merkle trees, Merkle–Hellman knapsack cryptosystems, hashing schemes, and graph algorithms • Enforce strict standards for correctness, security reasoning, and complexity analysis (Big-O, Big-Ω, Big-Θ, amortized) • Reinforce deep understanding of algorithmic tradeoffs, NP-completeness, and computability
• Developed a microservice for Adobe’s video translation pipeline leveraging AI capabilities to support automated dubbing across multiple languages. • Led development of GLaaS Verify, an internal QA interface for localization testing, integrated with the Model Context Protocol (MCP) to standardize context. • Engineered a Jira Ticket Automizer using Retrieval-Augmented Generation (RAG) to analyze FAQs, developer comments and tickets to automatically generate structured Jira issues.
• Developed scalable frontend features for GLaaS, Adobe’s globalization platform, supporting 100+ internationalized products. • Led accessibility improvements on Adobe Express, integrating WCAG-compliant UI enhancements that boosted accessibility audit scores by ~42%. • Collaborated cross-functionally with design, QA, and product teams across time zones (India–US) in an agile environment.
• Contributed to core Photoshop, a product used by 30M+ creatives, by leveraging C++ for computational geometry algorithms (line sweep, R-trees) and computer vision techniques for object-aware alignment. • Conducted user and market research to inform product decisions and competitive positioning.