Sridhar Rangarajan — CTO
I am passionate about architecting and developing solutions for EDA 2.0 using Big Data and Machine Learning technologies Architect and develop both descriptive and prescriptive analytics with deep learning algorithms. Project lead in CAD, architecting and driving the next generation physical design tools and solutions for next generation microprocessor design. Main area of focus is in Logic Synthesis, Placement, Routing and Physical Optimization. Involved in DFM, DFY solutions. Specialties: Expertise in Machine Learning, Deep Learning, GNN, Reinforcement Learning, Spark, TitanDB, CAD algorithms and tools in Placement, routing, physical optimization clock, power, yield for IC design.
Stackforce AI infers this person is a leader in EDA and Machine Learning for semiconductor design.
Location: Bengaluru, Karnataka, India
Experience: 26 yrs 3 mos
Skills
- Deep Learning
- Design Convergence
- Logic Synthesis
- Physical Design
- Routing
Career Highlights
- Expert in architecting EDA solutions using Machine Learning.
- Led teams in developing next-gen physical design tools.
- Specialized in Logic Synthesis and Physical Optimization.
Work Experience
Cadence Design Systems
Group Director - Engineering (5 yrs)
Mentor Graphics
Director Of Engineering (3 yrs 6 mos)
IBM
STSM (1 yr 6 mos)
Senior R&D Engineer (7 yrs 9 mos)
Synopsys Inc.
R&D Routing Engineer (2 yrs)
Sun Microsystems Inc.
Staff Engineer (3 yrs 6 mos)
Monterey Design Systems Inc.
Staff Engineer (3 yrs)
Education
Executive MBA at University of California, Berkeley, Haas School of Business
MS at Santa Clara University
Executive Presence Program at University of California, Berkeley, Haas School of Business
BE Computer Science at Birla Institute of Technology and Science, Pilani
MS at Birla Institute of Technology and Science, Pilani
High School at Sri Ahobila mutt oriental school
