Problem Solver
Marcio Faerman, PhD
Areas Marcio Faerman, PhD is Knowledgeable in:
Data Science
Big Data
High Performance Computing
Research & Development
Big Data
High Performance Computing
Research & Development
Techniques Marcio Faerman, PhD Uses:
Advanced technical background in Information Technology allied with managerial experience and broad strategic perspective to lead the development of complex data driven projects.
Successful cross disciplinary development style, engaging multi-domain users and technology providers to synergistically accomplish innovative integrated solutions.
DevOps, AGILE
- Test-Driven Development, Design Patterns, Refactoring, Object-Oriented, Domain-Driven Design
Successful cross disciplinary development style, engaging multi-domain users and technology providers to synergistically accomplish innovative integrated solutions.
DevOps, AGILE
- Test-Driven Development, Design Patterns, Refactoring, Object-Oriented, Domain-Driven Design
Marcio Faerman, PhD's Problem Solving Skills:
- Research & Development
- Project Management
- Negotiation
- Strategy
- Stochastic Experiments, Modeling and Analysis
- Software Development
- Parallel Programming
- Forecasting, Prediction Modeling
- High Performance Computing
- Simulation and Modeling
- Big Data Analytics
- Big Data Management
- High Speed Networks
- Clouds
- Python
- R
- C/C++
- MPI
- Statistical Inference Analysis
- Cross-disciplinary researcher
- SQL
- Map Reduce
- Performance Optimization
- Facilitator
- Integration
- Translating domain specific requirements to technical solutions.
Marcio Faerman, PhD's Problem Solving Experience:
- I developed Resource Allocation and Scheduling for Interactive Search and Data driven applications on Parallel High Performance distributed Computing systems.
- I managed the SCEC TeraShake Project, fulfilling a 10 Year goal of seismologists to run and analyze one of the largest and most data intensive Southern California seismic simulations of its time. Precursor of the ACM Gordon Bell Prize finalist M8 Earthquake Simulation:
o 100+ TBs of data,
o 30 domain experts & technologists,
o 8 organizations,
o 2 supercomputer centers. - I coordinated the realization and network support of the first wide-area remote operation experiment of the Brazilian Synchrotron.
- I provided data analytics insights and strategical recommendation for a financial company.
- I developed an adaptive forecasting technique to predict data intensive application performance based on raw network bandwidth measurements.
- I led the development of the perfSONAR distributed network performance measurement grid between Latin America and Europe.