With over 15 years of experience as an AI and NLP expert, I specialize in providing consulting and development services that empower businesses to harness the potential of data. Leveraging my extensive background in the banking, insurance, and marketing sectors, I deliver tailored solutions focused on cost reduction, enhanced efficiency, and accelerated growth. Based in Canada, I am passionately committed to pushing the boundaries of AI and NLP technology, helping clients achieve remarkable success.
My motivation is fueled by the support and inspiration I receive from my family, which includes my wife, two sons, and daughter. Their encouragement drives me every day to surpass the limits of what I can achieve and contribute to the field.
view my workAs an experience data scientist, I strive to make business processes efficient and provide leadership with a focus on data science and machine learning. I embrace a failure as a step to success. I stay motivated by doing things as motivation is a by-product of action.
A 9-course specialization by Johns Hopkins University on Coursera. Specialization Certificate earned on December 22, 2014
A course of study offered by MITx, an online learning initiative of The Massachusetts Institute of Technology through edX.
A course of study offered by Stanford Online, an online learning initiative of Stanford University, through OpenEdX, the leading open source online learning platform.
A course of study offered by HarvardX, an online learning initiative of Harvard University through edX.
A course of study offered by HarvardX, an online learning initiative of Harvard University through edX.
During PhD research I worked on protein structure prediction, a classical probelm from computational biology. I developed low-resolution coarse grain force fields, which do not involve physical model or Boltzmann statistics. They rather use a mixture of Bayesian probabilities from normal and discrete distributions of features of known proteins. Consequently, a ratio of probabilities provides acceptance criterion for Monte Carlo method in prediction simulations. For more details, please check out my doctoral dissertation and presentation slides.
During 1-year instensive program, I worked on a mandatory research project (in addition of course work) with focus on protein structural alignment, an NP-hard problem. I analyzed performed of existing algorithm and then modified by advancing optimization step. My contribution led to a significant increase in overall algorithm performance. Also, I benchmarked new algorithm against existing methods. For more details, please check out my project report and presentation slides.
During research thesis, I worked on implementation and benchmarking of a document retrieval system for a handwriting device - PC Notes Taker (PCNT). PCNT device is believed to be competitive compared to other device which we had already tested and benchmarked. I extended features of the document retrieval system by implementing a subtype of triangular grid features and compared its results with those of existing features. It was found that new features were slightly poorer but closer to square grid features. For more details, please check out my master thesis and presentation slides.
Feel free to contact me, I love to interact with people who have interesting ideas and/or questions. I always reply back to non-spam emails.
