Pramod Anantharam

About Pramod Anantharam

I apply Machine Learning and Artificial Intelligence techniques to derive value from data. I\'m fascinated by the unreasonable effectiveness of math + code + data to solve real-world challenges of business and practical value. I love continuous learning and have experience working in fast-paced, interdisciplinary, and multi-cultural teams both in academia and industry. I have applied machine learning to a wide variety of problems in industry. During my Ph.D, I developed techniques to augment machine learning algorithms with declarative domain knowledge to solve challenging problems in understanding non-linear time-series dynamics, event extraction from text, and assess impact of events on city infrastructure (e.g, road network). I have lead research projects in healthcare and sustainability resulting in products and patents with real-world impact.My work is published at Artificial Intelligence and Intelligent Systems venues such as ACM TIST, SDM and ACM Web Science. I have been on technical program committee for conferences and journals such as ISWC, ESWC, IJCAI, Data Mining and Knowledge Discovery Journal, and Internet of Things Journal. Skills: Machine learning, computer vision, predictive analytics, planning under uncertainty, time-series data modeling, anomaly detection, knowledge representation and reasoning.

Experience

1. Senior Machine Learning Engineer

   Bosch Center For Artificial Intelligence Bcai

   Jul 2023 — Present · Pittsburgh, PA, US

   Research and development in the topics surrounding Multimodal Foundation Models such as Vision Language Action Models (VLAs) and Vision Language Models (VLMs)• Develop Robot Learning / Physical AI methods and pipelines for dexterous manipulation tasks• Address manufacturing use-cases by pushing the envelope of dexterous manipulation research and development• Agent architectures, reliable workflows with AI agents, and equip agents for working with the physical world• Instilling responsible research practices through reproducibility, clean code, and packaging research for technology transfers to Bosch products

Education

• Udacity

  Flying Car and Autonomous Flight Engineer

  2020 — 2020

• Wright State University

  Doctoral, Computer Science

  2009 — 2016

• B. M. S. College of Engineering

  Bachelor of Engineering, Electrical and Electronics Engineering

  2002 — 2006

Skills

• Computer Science
• Semantic Technologies
• Scheme
• Php
• C
• Programming
• Graphical Models
• Unix Shell Scripting
• Artificial Intelligence
• Machine Learning
• Android Development
• Text Mining
• Matlab
• Information Retrieval
• Pattern Recognition
• Python
• Semantic Web
• Algorithms
• Java
• Information Extraction
• Probabilistic Models
• Octave