AWS Certified Cloud Practitioner

Hello from Amogh. New to the platform and looking to make meaningful connections.

The Ohio State University

Collaborating with a small team to spearhead the development of a mobile application with a waitlist of 1000 users that streamlines social event planning through calendar integration, while providing technical guidance to fellow developers
  
Achieved a reduction in query response times from 150ms to 105ms and scaled potential user capacity from 1,000 to 10,000 users by modernizing a legacy codebase across the full stack using React Native, TypeScript, Hono.js, and SQLite

Lead Software Engineer

Developed and integrated processes within a Retrieval Augmented Generation (RAG) pipeline using LangChain, Python, Pandas, and AWS (Bedrock, Sagemaker, Textract) to enhance the company’s first internal Generative AI tool
  
Optimized context relevance for 50,000 queries by developing a hybrid retrieval system with LangChain, using two AWS Opensearch instances to split document retrieval between BM25 and semantic similarity algorithms for every prompt
  
Implemented regex-based data filtering and re-embedded 10,000 cleaned documents, improving model accuracy by 9%

Generative AI Data Science Intern

Developed and optimized full-stack Ruby on Rails applications, utilizing query optimization and caching to enhance response efficiency by 20ms, significantly improving the user experience for high-performance computing users
  
Reduced average CPU utilization by 200 cores by implementing C-States and P-States management and load balancing techniques such as round-robin scheduling to optimize task distribution across HPC clusters

Software Engineer Intern

Saved $20,000 in bug fixes and support costs by offering in-depth product analysis, identifying potential issues early, and recommending actionable improvements throughout the software development lifecycle for an EdTech SaaS startup
  
Collaborated cross-functionally with engineers to streamline test plans and improve time-to-market for new feature release

Technical Product Development Intern

Developed full-stack Flask applications used for data analytics, project management, and customer relationship management for five clients of a software contractor company, achieving a 99.9% uptime over a period of six months across all sites
  
Increased system throughput by 200 transactions per second, leading to $3,000 saved by implementing hash indexing for relational (SQL) databases, and document-based indexing for non-relational (NoSQL) databases

Amogh Kuppa

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