About deepkapha.ai

We live by the principles of learn, earn and return. We strongly believe that real change is only possible when we start thinking beyond silos.

Our Mission

Solving world’s hunger for deep learning and artificial intelligence.

We foresee a huge skills shortage in the field of AI – specifically Machine Learning and Deep Learning technologies in the next 5 years. Currently large internet companies are continuously collecting huge quantities of data into their servers as well as talent pool across the world leaving enterprises not in control of their data or talent. This leaves them extremely data and talent poor and this gap is increasingly widening.

Fortunately, we also see a massive potential. We have trained 10’s of thousands of engineers and corporate managers world-wide in Machine Learning and Deep Learning in enterprises as well as focused bootcamps. We have even gone far to work with humanitarian organisations training youth in war torn areas to teach them advanced techniques such as Machine Computer vision, NLP (Natural Language Processing) and other advanced techniques.

Our mission is to bridge this gap by conducting meaningful and ROI driven AI projects such that information and talent can flow within enterprises seamlessly across silos. 

With our unique mix of AI Research where we learn continuously by developing algorithms, tools and techniques. By applying our research and developing AI Solutions we bring tangible transformation into global enterprises, that is the way to earn your stripes and finally with AI Philanthropy we return our learning back to the society.

Our Management Team

Tarry Singh

Tarry Singh

CEO & Co-founder

Tarry is a seasoned tech entrepreneur, philanthropist and AI researcher having setup multiple startups in the past. He has over 25 years experience helping enterprises build and scale disruptive technologies to gain competitive edge. deepkapha.ai is his brain child through while he intends to solve world’s hunger for AI with meaningful applications in business and society.

Foke S - Van Der Helm

Foke S - Van Der Helm

COO & Co-founder

Foke is a seasoned operational manager with experience is managing and scaling startups from scratch. She brings her Finance, HR and Auditing skills as well to manage the growth of deepkapha.ai from startup to scale-up.

Jie Mei

Jie Mei

Head of AI Research

Ms. Jie Mei is a PhD Computational Neuroscience Researcher completing her PhD from the globally reputed medical college Charité – Universitätsmedizin, Berlin Germany. She brings her Deep Learning and Neuroscience expertise and is responsible for the growth of AI Research department within deepkapha.ai.

Takashi Nishida

Takashi Nishida

Country Director, Japan

Mr. Takashi Nishida brings over a decade of experience of business development & sales, market analysis and marketing with enterprise software company, telecom carrier and industrial components.

He has deep management & business consulting experience in business process re-engineering, business analysis, and project management and brings Sales and business development in IT industry, Market analysis, business & financial analysis and Project management

Incoming Director

Incoming Director

Country Director, France

We are currently in talks to have this position being filled up. If you are an experienced Sales Director and VP with good selling experience in France then do not hesitate to drop in a mail.

Incoming Director

Incoming Director

Country Director, Brazil

We are currently in talks to have this position being filled up. If you are an experienced Sales Director and VP with good selling experience in Brazil then do not hesitate to drop in a mail.

Incoming Director

Incoming Director

Country Director, DACH

We are currently in preliminary talks to have this position being filled up. If you are an experienced Sales Director and VP with good selling experience in DACH region (Germany, Switzerland and Austria) then do not hesitate to drop in a mail.

Incoming Director

Incoming Director

Country Director, Nordics

This position is open and we are soliciting discussions with experienced Sales Directors and VPs with good selling experience in Nordics (Denmark, Finland, Sweden and Norway)

Incoming Director

Incoming Director

Country Director, Middle East

This position is open and we are soliciting discussions with experienced Sales Directors and VPs with good selling experience in Middle East and North Africa region.

Our AI Researchers & Deep Learning Engineers

Dr. Chris Dinant

Dr. Chris Dinant

Visiting AI Researcher

Dr. Chris Dinant is Head of the Light Microscopy at the Danish Cancer Society Research Center and also Member of the steering committee of the Danish BioImaging Network.

Chris is an experienced Deep Learning Researcher and participates in various Healthcare and other industrial projects within deepkapha.ai.

Chris has a MS from University Amsterdam and PhD in Genetics and Cell Biology from Erasmus University, Rotterdam.

Aditi Mukhopadhyay, PhD

Aditi Mukhopadhyay, PhD

Visiting AI Researcher

Dr. Aditi is a Theoretical Partical Physics PhD with interdisciplinary research experience in large data set analysis, data management, data processing, and Monte Carlo simulations. She has strong analytical and quantitative skills and adept in problem solving, trouble shooting, and fitting data while being detail oriented and systematic.

As VAIR within deepkapha.ai , Aditi supervises internships and participates in groundbreaking deep learning research projects.

Aashita Kesarwani

Aashita Kesarwani

Visiting AI Researcher

Dr. Aashita Kesarwani is a PhD Mathematics from Tulane University, USA with Dissertation in “Theory of the generalized modified Bessel function K_{z,w}(x) and 2-adic valuations of integer sequences”, she is MS Applied Math from IIT Roorkee.

Aashita participates in various research projects and also supervises various deep learning internships within deepkapha.ai.

Dr. Martijn Van Attekum MD & PhD

Dr. Martijn Van Attekum MD & PhD

Visiting AI Researcher

Dr. Martijn Van Attekum is a MD (Oncologist) and PhD and currently Post Doctoral Candidate at University of Cologne, Germany. –Main responsibilities in this position. He is an experienced team leader and is skilled in
1) Performed computational analysis of RNA-seq data (differential genes, pathways) and identified lead targets for drug discovery 2) Performed computational analysis of genome seq data (amplification structure, mutation calling) and established a differential genome structure that predicts drug response.

He is experienced deep learning computational biologist engineer as well and participates in ground-breaking deep learning medical projects within deepkapha.ai

Raphael Bilgraer, PhD

Raphael Bilgraer, PhD

Visiting AI Researcher

Dr. Bilgraer is a PhD in Biomedical Science from Université Paris Descarte. He enjoys specifically skilled in Design of experiments (DoE), Computational methods and Machine Learning algorithms for data mining of large -omic datasets  as well as Biomarkers discovery and validation.

Raphael is an experienced deep learning medical professional and is currently working on research project with deepkapha.ai to solve the prediction of drug discovery in Cancer using Deep Learning.

Tannistha Maiti, PhD

Tannistha Maiti, PhD

Visiting AI Researcher

Dr. Tannistha Maiti is a PhD Geophysics and Seismology from University of Calgary with thesis “Thesis: “Structure of the continental Moho and Lithosphere-Asthenosphere Boundary:
Insights from receiver-function analysis and numerical modelling”” and MS from IIT Kharaghpur in Exploration Geophysics.

Tannistha participates in various research projects and supervises several deep learning internships within deepkapha.ai.

Marvin Chancan, PhD Cand.

Marvin Chancan, PhD Cand.

Visiting AI Researcher

Marvin Chancán is currently pursuing a PhD in Computer Science with the Australian Centre for Robotic Vision at Queensland University of Technology.

His research is at the interface of Computational Neuroscience, Computer Vision, and Robotics. Developing neuroscience-inspired learning algorithms for solving fundamental (e.g. similarity search) and applied (e.g. autonomous navigation) machine learning problems.

Marvin holds a BS in Mechatronics Engineering (1st in class), a Master in Mechanical Engineering, and an MBA in Project Management. He also worked as a Solutions Architect of high-performance computing clusters (2016-2018), and Mechatronics Engineer in the automation industry (2012-2015).

At deepkapha.ai he conducts research at the intersection of deep learning and neuroscience.

Gayatri Iyer, MSc.

Gayatri Iyer, MSc.

Visiting AI Researcher

Gayatri Iyer is a MSc.Statistics and Data Science from University of Texas at Dallas.

She pursues an intriguing coursework which is at crossroads of Data Science and Statistics. Subjects taken in this semester are Statistical Machine Learning, Advanced Statistical Methods II and Big Data Management & Analytics.

Incoming Researcher

Incoming Researcher

Deep Learning Intern Computer Vision

Rituraj Singh

Rituraj Singh

Deep Learning NLP Intern

Somya Rani

Somya Rani

Deep Learning Intern Computer Vision

Swaroop Paliwal

Swaroop Paliwal

Deep Learning Intern Computer Vision

Aishwary Patil

Aishwary Patil

Deep Learning Engineer

Aishwary Patil is an incoming AI Researcher and Deep Learning Engineer with Robotics background.

He focused on the following precast within deepkapha.ai 1) Investigating the use of fuzzy logic to achieve a more generic and robust control for optimizer switching 2)Proposing an alternative approach to represent the Squashing function by embedding feature vector in higher dimensional hyperspace

Huadong Liao

Huadong Liao

Deep Learning Researcher

Huadong Liao is a Master’s Candidate from Chongqing University of Post and Telecommunications.

Huadong was the first deep learning engineer to have reproduced the code implementation on Google TensorFlow for Capsule Networks – a new form of AI Model.

He enjoys participating with deep learning research and company projects within deepkapha.ai

Narendra Patwardhan

Narendra Patwardhan

Deep Learning Engineer

Narendra Patwardhan is a Msc Candidate at Michigan Technological University in Michingan, USA.

He is Robotics and AI Researcher at deepkapha.ai and contributes to developing niche deep learning algorithms and frameworks.

Our Distinguished Visiting AI Fellows

Dr. Srikanth Ramaswamy

Dr. Srikanth Ramaswamy

Visiting AI Fellow

Sri is a Neuroscientist and completed his PhD. from the world famous Ecole Polytechnique EPFL Lausanne which raised €1Bn for the Blue Brain Project in Switzerland.

His thesis was undertaken within the Blue Brain Project, an unprecedented endeavour to foster a global facility for simulation based research in neuroscience. The thesis focused on the statistical analysis of the anatomical and physiological properties of in silico synaptic transmission in a biologically detailed model of the juvenile rat neocortical column.

Sri is currently participating in an internal deepkapha.ai project idea to develop a NeuroDL Model to help revolutionise the Deep Learning Industry by using biologically plausible data-driven models.

Incoming VAIF Candidate 2019

Incoming VAIF Candidate 2019

Visiting AI Fellow

Incoming VAIF Candidate 2019

Incoming VAIF Candidate 2019

Visiting AI Fellow