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Liangfang Chao, Ph.D. is listed as Computer Scientist (Performance Optimization, Parallel Processing) | EdTech Consultant | Product Manager | Cupertino City Councilmember at JITX, based in Cupertino, California, United States. AeroLeads shows a work email signal at computer.org and a matched LinkedIn profile for Liangfang Chao, Ph.D..
Liangfang Chao, Ph.D. previously worked as Senior Software Engineer at Jitx and Product Manager/Project Manager (Volunteer) at Omdena. Liangfang Chao, Ph.D. holds Doctor Of Philosophy (Ph.D.), Computer Science from Princeton University.
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AeroLeads found 1 current-domain work email signal for Liangfang Chao, Ph.D.. Compare company email patterns before reaching out.
Creative Problem Solver - Out-of-box Thinking - Energized by ChallengesRelentless when Overcoming Difficulties - Motivator and Connector - Love helping othersADVISORY BOARD EXPERIENCES:• 2 years on school board with over 18,000 students and 25 schools and a annual budget of $200 millions• 3 years on city council with a budget of $120 millions• 4+ years as a founder and executive directors of two nonprofits• 6+ years on the board of a local YMCA• 2+ years on the board of the League of Women Voters• 2+ years on the Legislative Committee of the League of California CitiesTECHNICAL QUALIFICATIONS:Strong programming experience in C/C++ in large-scale compute-intensive software projects for hardware acceleration. A Computer Scientist who is comfortable with hardware, firmware, or electronics and yet still possess broad Computer Science background from Algorithms and Data Structures, Compiler Optimization, Artificial Intelligence, Natural Language Processing to Parallel Processing.• Experience in Python & Pandas in Image Processing & Data Analytics in Linux/Windows Environment• Stellar Computer Science background on performance analysis and optimization• 10+ years of experiences in C/C++ Programming in Unix/Linux Environment• 10+ years of experience with compilers for FPGA arrays, ALUs, custom processors• 10+ years of experience of work-flow development for new features/software, creating functional/implementation specifications, unit/functional/integration test plans, partnering with field engineers and cross-functional teams for customer support• Knowledge of Artificial Intelligence, Machine/Deep Learning, Digital Image ProcessingTEACHING & MANAGEMENT• 4+ year experience of managing programs involving multiple stakeholders with competing priorities• 5+ years of experience consulting on product design for an EdTech company with programmable mobile apps and robotic kids• 6+ years of experience of volunteer teaching experience from 3rd grade math enrichment to high school computer programming in Python, Scratch and Java• 5+ years of experience in policy making and budget review while serving on school board and city council• 6+ years of experience teaching and researching at college level in Computer Science and Engineering• Communicate with and influence diverse technical and non-technical groupsLANGUAGES• Proficient: C, C++, Python, Yacc/Lex, Unix• Moderate: Java, JavaScript, Awk, Perl, csh, TCP/IP, VHDL, Verilog• Basic: HTML, CSS
Listed skills include C++.
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San Jose, California, Us
JITX stands for Just In Time for Everything. JITX builds tools to use software to describe/design circuit boards in less time and with fewer errors. JITX utilizes innovative optimization algorithms and also AI-powered solutions.
New York, Ny, Us
[March 10, 2022 - June 29,. 2022]: Senstile Challenge: Built a Search Engine with multiple DL models to match textile samples with similar properties based on images from the IR sensor.[June 30, 2022 - present]: DataCamp for Classrooms Challenge: Help bring free Data Science classes to all high schools in India by collecting school information through web search and web scrapping. • Lead a remote team of 50+ volunteer Machine Learning engineers from multiple countries to develop a tool to capture properties of textiles in order to find similar textiles• The team explores both traditional Machine Learning and Deep Learning models through either feature extraction or autoencoders• Facilitate communications and create visualization to help clarify problem statements and limitations • Manage relationships with partners to ensure the desired product is delivered with the desired timeframe• Assess performance of team members and encourage volunteer engagement
• Design Curriculum to blend IoT, programming and AI• Propose product ideas, provide advice on UI, design, functionality based on observation of industry trends in U.S.• Consult on educational products leveraging trends on latest consumer markets for: Makerspace, Internet of Things, STEM integration, AI, Smart Applications• Provide advice on open source tools to integrate Artificial Intelligence/Machine Learning into their mobile App• The product (educational kits with microcontroller and sensors) has been enhanced to use Blockly to provide block-programming interface and include: voice-to-text control, facial recognition, objective identification
YAPA connects passionate community advocates with high schoolers to study local issues• Design programs to teach functions at different levels of government, advocacy, research and public speaking• Recruit mentors and convince them to commit to 10 weekly meetings with students• Invite speakers who are elected officials or community leaders by leveraging personal connections• Host press conferences and form relationship with reporters in radio, TV and newspapers
Peachtree Corners, Georgia, Us
• Design curriculum and supplemental materials for JavaScript and Scratch• Mentor junior instructors on student engagement with Computer Science concepts
San Francisco, Us
Delta Analytics, San Francisco, CA – Fellow (volunteer for Data Science project)• Data cleaning and analysis in Python of website search data for InPlay, which provides information for low-cost/free and also market-rate afterschool classes for several school districts to target underprivileged students• Analyze pattern of website visits and identify geological locations of visitors
Santa Clara, Ca, Us
• Implemented tools in Python to automate the manual process to capture microscopic images and calibrate the controls for electronic beams mostly on Linux and partly on Windows.• Generated spreadsheet of test result using pandas/numpy and created quiver plot, scatter plot, polar plot to visualize the results• Created command script interpreter and GUI tools for fast prototyping and east of testing• Implemented some basic image processing algorithms to filter out noise and template matching and displacement using cv2.
• Created materials for STEAM-related afterschool enrichment classes• Hosted STEAM competitions to promote innovation mindset using a programmable IoT kit• 40 students, formed 13 teams, from 6 different cities participated in the competition
San Jose, California, Us
C/C++, Perl, TCP/IP. Compiler, Synthesis, Parallel Computing. Performance OptimizationFor emulators using arrays of FPGA (Field-Programmable Gate Array) or custom Microprocessors, the challenge of the software compiler is to achieve orders of magnitude speedup than software simulators, while providing debugging abilities.__Technical Leadership__• Outstanding ability to independently understand the complex source code base, evolved from generations of software releases through multiple companies• Contributed to various areas of the hardware compiler spanning: parsing Hardware Description Languages, scheduling, code generation, clustering/partitioning into chips, memory mapping, mapping to ALUs, distributed processing for multiple PCs/cores, encryption for IP, and interface with debugging tools• Expertise in runtime, data structure and memory optimization and compile flow improvement• Expertise in comprehending complex algorithms and data structures in legacy code through tracing and analysis__Project Leadership__• Led the specification and implementation of workflow, complex features, unit and integration test plans in several software releases• Supported field engineers of major clients, for complex customer applications with mixed hardware description languages, and varied tool environments• Led the definition and delivery of new features by negotiating and collaborating with cross-functional teams: backend compiler, hardware architect and field engineers• Resolved several integration issues, involving APIs, embedded assertion features, data formats, memory downloads and GUI interfaces, by applying technical knowledge, while demonstrating leadership and communication skills• Developed several advanced features, that normal synthesis tools cannot support: configuration and mixed language support
• Promoted to Engineering Manager responsible for the Core Compiler group, from chip partitioning, board partitioning, to mapping to FPGAs• Led a team to comprehend and to improve complex clustering and partition algorithms, in order to map logic gates to FPGA chips
De
• Collaborated with a team of researchers to create VHDL (Hardware Description Language) model for data path synthesis for various filters used in MPEG-4 Image compression
Ames, Iowa, Us
• Designed and delivered undergraduate courses on Logic Design, and graduate-level courses on Algorithms and Optimization for VLSI (Very Large Scale Integrated Circuits) Design• Mentored graduate students on research projects for their Master’s and Ph.D. degrees in: datapath synthesis, high-level synthesis, routing and retiming
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Liangfang Chao, Ph.D. works for JITX.
Liangfang Chao, Ph.D. is listed as Computer Scientist (Performance Optimization, Parallel Processing) | EdTech Consultant | Product Manager | Cupertino City Councilmember at JITX.
AeroLeads has found 1 work email signal at @computer.org for Liangfang Chao, Ph.D. at JITX.
Liangfang Chao, Ph.D. is based in Cupertino, California, United States while working with JITX.
Liangfang Chao, Ph.D. has worked for Jitx, Omdena, Arixin, Inc., Young American Policy Advocates, and Code Ninjas.
You can use AeroLeads to view verified contact signals for Liangfang Chao, Ph.D. at JITX, including work email, phone, and LinkedIn data when available.
Liangfang Chao, Ph.D. holds Doctor Of Philosophy (Ph.D.), Computer Science from Princeton University.
Liangfang Chao, Ph.D. is listed with skills including C++.
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