1. Sing Koo
Contact: singkoo@sitefocus.com
Over 40 years of experience in software engineering, investing in software startups, building
engineering teams, best practice in modern software, data structure, big data, and database
frameworks, application, cyber security, open source, and distributive networks
Summary:
Koo worked for many large enterprises in both New York and the San Francisco Bay Area,
including Wells Fargo, Bank America, JPMorgan Chase, Citicorp, CIT, US Trust, Boeing, Cisco
and many large brokerage firms in Wall Street.
Koo’s working experience has been primarily in software engineering and management,
framework innovation, monetization of intellectual properties, building and training of software
DEV teams, hands on architecture, design and implementation of large scale real-time analytics
using big-data, DEV/OPS, and providing leadership to software engineering teams in best
practice.
In all software developments that Koo managed, he was able to deliver the ROI by using open
source, together with custom design that persist beyond the life span of open source.
Koo has been passionate about artificial intelligence, machine learning, and advanced real-time
analytics for many years. Koo founded Software Intelligence Laboratory Inc. in New York, and
has since worked on semantic analytics, unstructured textual analytics, and sentiment analytics.
Koo designed a large-scale data ingestion system using HBASE and HADOOP capable of
ingesting hundreds of GIGA bytes per second for cyber security applications.
At present, Koo leads the development of a novel technology in NLP and textual analytics
providing auto discovery of subjects in voluminous corpora. This analytic cloud platform is a
leading solution that finds signals from noise.
Concurrently, Koo is rendering consulting practices to enterprise projects that can benefit from
his knowledge and skills. In Koo’s spare time, he builds hack-proof secured servers, works on
secured networks, building software in JAVA, C, C++, SCALA, and utilizing open source to
build analytic systems at scale.
Koo has extensive experience with open source deployment leveraging Intel X86/64 server
technologies and embedded Linux implementation using ARM32/64 processors at scale.
Experience Summary
2014-present

2. Provided consulting to Cisco Inc. - big data architect, design container-based distributive
computing network for real-time streaming and computing.
Founded SiteFocus Inc., a startup venture dedicated in the development of unstructured
textual analytics with machine learning and artificial intelligence.
 Entrepreneur, Founder/CEO, lead a team to design and developed a large scale
distributive computing network for a hybrid cloud analytic platform using
machine learning and unstructured textual analytics, innovated an automatic
learning system for structured text analytics
 Successfully predicted the winning candidate of 2016 presidential election results
 Successfully predicted the outlook and issues facing various public companies
based on media news, analyst Q&A, and quarterly financial transcripts
 Using millions of training samples in the building of a model for sentiment
analytics, innovated subjective and objective sentiment analytics.
2011-2014 Narus Inc.(a wholly owned subsidiary of Boeing),
 Sunnyvale, CA, Senior Director of Engineering, Designed and implemented real-time big
data capture framework for cyber security and machine learning using Deep Packet
Inspection techniques.
 Designed and implemented a highly secured distributive document framework with
provisions to prevent physical and logical hacking, facial and geo-fencing monitoring,
and innovative super-encryption algorithm.
 Software monetization and licensing practice
Education:
New York University MS in Electronic Engineering with special studies in Computer
Science.
BSEE from California State University at Fresno.
Skill:
Over 44 years of working experience in IT, cyber security, full stack knowledge of
modern computer and network including areas in programming in C, C++, JAVA,
SCALA for platform and frameworks used by big data, artificial intelligence, machine
learning, RDBMS, open source and cyber security, software licensing and monetization,
royalty assessment, enterprise partnership and joint venture, software investment

3. Patents and invention:
Invented several computer frameworks for distributive computing
Innovated proprietary unstructured textual analytics based on ML/AI principles
Facial recognition to positively identify a live person subject
Patent number: 9251401
System and method for scalable high-speed distributive data storage and retrieval
Patent number: 8843517
Domicile:
Citizen of U.S.A., Cupertino, California