West Lafayette, Indiana, United States
I am a Computer Science Junior at Purdue University and an Incoming Software Engineering Intern at Google (Summer 2026). I am also pursuing a Minor in Finance. My focus is on building high-performance software and optimizing AI-driven tools that solve enterprise-scale problems. My background bridges industry-grade development with rigorous data research: Data Science: As a researcher for Cisco, I optimized product sorting by training XGBoost and Random Forest models on 1M+ rows, achieving 93% accuracy. Generative AI & Voice: At Waanee.ai, I built a live STT/TTS sales assistant using a Gemini-powered RAG pipeline, maintaining end-to-end latency under 1.5s. Enterprise Scale: Developed an Angular-based training platform and an AI business proposal tool that reduced pitch preparation time by 70%. On campus, I co-founded Purdue Stack, a software engineering club that ships full-stack apps for real-world clients. I also serve as a Teaching Assistant for Computer Architecture (CS 250) and Data Structures & Algorithms (CS 253), where I help students master low-level systems and efficient coding practices. Tech Stack: Python, Java, C/C++, JavaScript/TypeScript, SQL, React, Angular, Flask, Node.js, and AWS.
Led branding and outreach campaigns that grew membership applications to 270+ in the first semester. Built a cohesive marketing strategy across LinkedIn, Instagram, and email newsletters. Organized info sessions, workshops, and events to boost engagement across CS, DS, Engineering, and UI/UX communities.
• Assisted over 60 students in weekly labs focused on compiler construction, memory dumps, x86-64, and ARM assembly. • Supported students in understanding complex topics, enhancing their learning experience at Purdue University.
• Developed an Angular platform for AI-driven employee training utilized by over 20 enterprise clients. • Designed REST APIs integrating GPT-4 for automated parsing and grading of training instructions. • Prototyped Voice AI tools for sales enablement, leveraging real-time STT, NLU, and TTS technologies.
• Designed an AI-powered proposal generation tool utilizing Python and modern web technologies. • Implemented user feedback systems to enhance product usability and client satisfaction. • Delivered technical demos to over 10 client groups, showcasing product capabilities. • Automated deployment pipelines, achieving a ~30% reduction in build and deploy time.