Rishikesh Aluguvelli
AI ML Engineer And Data Scientist
Buffalo, New York, United States
Summary
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Senior🎓
Top SchoolRishikesh Aluguvelli is an AI/ML engineer and data scientist with eight years of engineering experience and a strong focus on production-grade ML systems. Currently building personalization and hybrid search solutions for 400K+ podcast episodes at Spice, he blends vector search (Pinecone), PostgreSQL full-text search, Redis caching, and AWS orchestration to deliver sub-200ms p95 responses. His background includes large-scale migration and frontend work at Amazon, plus hands-on NLP and document-processing prototypes from an earlier data science internship. A University at Buffalo Robotics & AI master’s graduate (3.9 GPA), Rishikesh pairs research-grade rigor with practical cloud-native engineering. He’s comfortable across the stack—from Lambdas, ECS, and Step Functions to FastAPI and Docker—and notable for bridging semantic search with real-time CDC indexing for low-latency personalization.
8 years of coding experience
Master's degree, Robotics and AI, 3.9, Master's degree, Robotics and AI, 3.9 at University at BuffaloBachelors of Engineering, Computer Science, 82.75 %, Bachelors of Engineering, Computer Science, 82.75 % at Osmania UniversityGithub contributions (5)
rishikeshadusumilli/Traffic-Engineering-using-BGP_LS-PCEP-OpenDaylight
Jan 2018 - Jan 2018
Contributions:15 commits, 13 pushes, 1 branch in 1 day
rishikeshadusumilli/BGP-configuration-automation-using-Python
Jan 2018 - Jan 2018
Contributions:6 commits, 5 pushes, 1 branch in 1 day
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