Tharun Pasupuleti
@tharunpasupuleti
I build full-stack web applications, APIs, and AI-powered products with React, Node.js, Python, and cloud services.
What I'm looking for
I've built scalable web and mobile products at Bhagala Solutions, Accenture, and Purdue University Northwest, from a React and Node.js MVP used by 300+ users to a 3D learning interface that reduced initial load times by 25%.
At Accenture, I developed reusable React and React Native components, engineered Node.js and Express REST APIs, and optimized schemas and Redis caching to reduce API response times by 30%. I also implemented OAuth authentication, session management, validation, testing, and error handling for reliable backend services.
I'm especially interested in building production-grade AI-enabled applications, including TaskPilot AI and an AI Sales Outreach Assistant using Next.js, FastAPI, PostgreSQL, Supabase, OpenAI API, and structured LLM validation.
Experience
Work history, roles, and key accomplishments
Graduate Research Assistant
Purdue University Northwest
Oct 2025 - Jan 2026 (3 months)
Architected a React-based 3D learning interface, reducing initial load times by 25% through asset lazy-loading. Collaborated with faculty to translate requirements into UI components and refactored architecture for authentication and session flows.
Developed reusable React and React Native components, improving frontend responsiveness by 20%. Engineered REST APIs with Node.js and Express, optimized database schema, and integrated OAuth-based authentication.
Founding Full Stack Engineer
Bhagala Solutions Private Limited
Jan 2023 - Jan 2024 (1 year)
Led architecture and development of a React frontend with Node.js backend and MongoDB, delivering a scalable MVP used by over 300 users. Established Git workflows, CI processes, and cloud deployment, reducing release times by 30%.
Education
Degrees, certifications, and relevant coursework
Purdue University Northwest
Master of Science, Computer Science
2024 -
Grade: 3.52
Pursuing a Master of Science in Computer Science with a CGPA of 3.52.
Availability
Location
Authorized to work in
Job categories
Skills
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