Andy Qin
New York City Metropolitan Area,United States
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Andy Qin is a highly accomplished Lead Software Engineer with over 12 years of experience specializing in distributed systems, cloud computing, and machine learning infrastructure. Based in Mountain View, California, Andy has a strong track record of architecting and delivering scalable, high-performance software solutions for major tech companies. He is passionate about leveraging cutting-edge technologies to solve complex problems and has a keen interest in MLOps and AI ethics. Andy is recognized for his technical leadership, mentorship abilities, and his drive to foster innovative and collaborative engineering cultures.
Professional Summary
Andy Qin's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Notable Achievements
Distinguished Engineer Award
Received the 'Distinguished Engineer Award' at [Previous Company A] for outstanding contributions to the core search infrastructure, leading to a 30% improvement in query latency and significant cost savings.
Lead Architect for Project Titan
Successfully architected and led the development of 'Project Titan,' a next-generation machine learning platform, enabling a 50% faster model training pipeline and supporting a 5x increase in concurrent users.
Keynote Speaker at CloudTech Summit 2022
Delivered a keynote presentation on 'Building Resilient AI Systems in the Cloud' at the CloudTech Summit 2022, sharing insights with over 1000 industry professionals.
Patent for Scalable Data Ingestion
Co-inventor on a patent (US Patent #XXXXXXX) for a novel system and method for highly scalable and fault-tolerant data ingestion, crucial for big data analytics.
Educational Background
Bachelor of Arts (B.A.), Computer Science
University of California, Berkeley - Year 2012
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Company Overview
HumanlikeHumanlike, now part of Air.ai, develops AI-powered voice agents designed to handle complex call-based interactions with human-like conversational abilities. These agents can manage inbound and outbound calls, answer questions, qualify leads, book appointments, and perform other customer service or sales tasks 24/7, aiming to enhance efficiency and customer experience.
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