Kannan Govindan
AI/ML Senior Engineering Leader @ Apple
About
With over 20 years of experience, I currently serve as an AI/ML Engineering Leader at Apple, focusing on advancing Siri LLM, Search, and Retrieval systems. My role encompasses driving end-to-end product quality, including ASR, NL, Apps, TTS, and UI, for various Apple Intelligence features. Leveraging expertise in large language models and generative AI, I contribute to creating scalable and robust solutions that enhance user experiences globally. Prior to joining Apple, I led global AI innovation as a Data Science and Software Development Manager at Amazon Alexa Devices AI. I oversaw the development of deep learning models, data pipelines, and analytics dashboards while delivering impactful features such as local search, recommendations, and multimodal device capabilities. My mission is to push the boundaries of conversational AI and deliver transformative technologies that resonate with users worldwide.
United States
San Francisco Bay Area
Computer Software
Large Language Models (LLM), Generative AI, Matlab, Signal Processing, C, C++, Machine Learning, R&D, Perl, R, Algorithms, Python (Programming Language), Data Science, Deep Learning, Engineering Management, Statistical Modeling, SQL, People Management, Cross-functional Team Leadership, Personalization
Experience
AI/ML Senior Engineering Leader
Apple
Cupertino, CA
Apple Intelligence. Siri LLM, Search, Retrieval. End to End product quality (ASR, NL, Apps, TTS, UI) for several Apple Intelligence features.
Senior Applied Science Manager: Data Science and Software Development, Alexa Devices AI
Amazon
Sunnyvale, CA
• Led global AI innovation for Alexa Devices, setting up and managing Local Search, Devices AI, and recommendation systems. • Oversaw development of deep learning models, data pipelines, and analytics dashboards to maintain Alexa's technological superiority. • Managed market penetration in English-speaking countries and major European and Asian markets. Launched these features in Alexa Devices: Press release-1: Alexa where can I get a covid vaccine Press release-2: Amazon launches Alexa Transit Press release-3: Curbside pickup experience using Alexa Press coverage-4: Send to phone, widget, find my Press coverage-5: VIP filtering Press coverage-6: Disney bands Press coverage-7:Alexa on thewheel Press coverage-8: Hoya devices and Widgets Press coverage-9: Alexa start my commute Press release-10: Alexa food skills Press release-11: Multi Agent Support Managed Amazon’s Multi Agent Voice Interoperability and Deutsche Telecom Magenta-Alexa initiative
Director of Machine Learning: Search, Personalization, Ranking, Recommendation
Walmart Global Tech
Bengaluru
• Led a team of 25 professionals in developing data science solutions for Walmart's online grocery business, increasing market share. • Implemented advanced personalization systems, boosting order conversion rates by 3% and generating $100M in revenue. • Pioneered the deployment of cutting-edge machine learning models to enhance search relevance and user experience.
Senior Engineering Manager
Target
Bengaluru, Karnataka, India
• Led end-to-end modernization of Target's supply chain EDI process, resulting in multi-million dollar annual savings in licensing costs • Spearheaded digital transformation initiatives to reduce supply EDI latency from hours to seconds • Architected cutting-edge solutions for live trailer tracking and IoT-based temperature monitoring, enhancing warehouse management
Senior Manager
Samsung Electronics
Bengaluru, Karnataka, India
Managed a team research scientists to develop communication protocols for effective battery usage in samsung Sx devices. 1. Communication Protocols optimization using machine learning and data science algorithms: TCP/IP, MAC and Phy layer optimization 2. Low power networks prototype analysis: 802.15.4 3. IoT Communication protocol analysis using Markov modeling and random forest: MQTT, CoAP, Lower layers 4. Proposal for team building, project planning, execution and deliveries 5. Patenting, research publications and running the research program
US Army Research Lab Postdoc Fellow
University of California, Davis
Davis, California
Worked on Wireless Networks Security: Developed algorithms for Correlation and Maximum ratio based classification of large data, clustering of large size data, time series based frequent sequence mining (supervised learning), Labelling and Pattern mining to detect the frequently appearing patterns in the large size data.
Research And Development Scientist
Defence Research and Development Organisation (DRDO)
Bangalore, India
Simulink and MATLAB implementation of digital beamforming and digital filter techniques, C programming of various detection algorithms MMSE, MAP and MLE
Education
Indian Institute of Technology, Bombay
Wireless Networks and Communications
1. CPI 8.28/10, TOP 10% 2. 99.13 percentile in GATE-2005, ALL India Ranking less than top 1%
National Institute of Technology, Tiruchirappalli
Electronics and Telecommunications Engineering
1. CPI 8.15/10, TOP 10% 2. State level engineering entrance exam ranking, top 1%
Kannan Govindan's Contact Information
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