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, PhD

Jie Mei, PhD

Head of AI Research

Dr. 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.

Tannistha Maiti, PhD

Tannistha Maiti, PhD

Head of Special Projects

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.

Growth Team

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

Ashutosh Pant

Ashutosh Pant

Growth Lead LiveAI

Ashutosh is a seasoned marketing professional with over 4 years’ experience helping clients and partners achieve their marketing goals in the data-driven marketing industry. He’s passionate about helping clients reach the right targeted customers with the right insights, and in this process, improving their customer relationships and conversion success. He has spent the last 4+ years helping business organizations to grow their offline and online presence and improved the targeted marketing efforts of both B2B and B2C clients across 4 countries and 3 continents.

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.

Rifat Arefin

Rifat Arefin

Visiting AI Researcher

Rifat Arefin is a MSc in Computer Science and Engineering and worked on low level edge based image feature extraction for unsupervised moving object detection. Rifat has also been a researcher at MILA institute, Montreal and conducted research internship in deep learning under the supervision of Professor Yoshua Bengio.

As VAIR within deepkapha.ai , Rifat participates in groundbreaking deep learning research projects in areas of Climate AI, Earth / Space Sciences AI to name a few.

Fateme Darvishvand

Fateme Darvishvand

Visiting AI Researcher

Fateme Davishvand is an AI researcher at deepkapha.ai. She has completed her MSc from the prestigious Amir Kabir University and is also Co Founder and AI Engineer at HermesSharif.

Her research interests include the development of deep learning applications for automotive industry. She is keen to further expand her expertise in Intelligent Transportation System, Auto Braking System, Advanced Driver Assistant, Smartphones and Telecommunication systems, Driver Behavior. She is currently part of our Covid19 Task Force researching and eventually develop a robust tool for society after Covid19.

Kiril Ralinowsky

Kiril Ralinowsky

Visiting AI Researcher

Technische Universität Berlin

Kiril has a Masters Degree in Computer Science frrom Technical University Berlin, Germany. He specialised in Intelligent Systems and Machine Learning. He is also an External lecturer for the subject “Data Analysis with Python” at Freie University Berlin.

Kiril participates in various research projects in Climate AI as well as Manufacturing AI to name a few.

Andrei Sasinovich

Andrei Sasinovich

Machine Learning Engineer

Andrei is a Computer Vision and Deep Learning Engineer with a fascination of Artificial Intelligence that perform tasks like identification and classification of objects in images and reinforcement learning for perception and decision making.

He is analytical, posesses mathematical and logical skills and a very strong ability to visualize, describe and refactor real-world scenarios into mathematical models and usable computer code. His interests are in expanding his skills and develop autonomous robots that will help people with everyday activities.

Skills: Python, PHP, C++, Node.js, React, SQL

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.

Shoumik Goswami

Shoumik Goswami

Visiting AI Engineer

Shoumik has a B-Tech from Amity University and IIM Ahmedabad. He is versatile consultant and data scientist by profession, Shoumik has been working with clients across the globe helping them transform their ideas and vision into working products. He has experience in BFSI sector, working with MNCs such as S&P Global and Fidelity International.

He holds mentorship position with Springboard and Udacity for their data analytics courses.
He is also driving community engagements with deepkapha.ai and LiveAI and RealAI to educate the masses about deep learning and AI.

Shivam Soni

Shivam Soni

Visiting AI Engineer

Shivam is a young and talent ML engineer at deepkapha.ai. He is a Python/Django Developer and Machine Learning Engineer having nearly 1 year of experience working in the Industry. He is prize winner – Digital Olympics International Olympiad (Moscow, Russia) and was one of the top 30 finalists from all over the world selected for Finals in Moscow, Russia. He has also represented India at “Qatar International Cyber Security Competition” in Fake News Detection Contest by participating amongst Ph.D. Scholars and secured 8th position out of 16 teams from all over the world.

Shivam is also part of the core team that is driving to launch deepkapha’s LiveAI – A european ?? edtech venture.

Ashutosh Pant

Ashutosh Pant

Visiting AI Data Marketing Specialist

Ashutosh is a seasoned marketing professional with over 4 years’ experience helping clients and partners achieve their marketing goals in the data-driven marketing industry. 

In his role as VAIE – Data Marketing, Ashutosh will participate in all ML Sales and Marketing driven projects to help customers with machine learning driven sales and marketing automation initiatives.

Ayush Srivastava

Ayush Srivastava

AI Research Intern

Ayush is is a software specialist with a history of working in the domain of Autonomous Vehicles. Skilled in Python, C++ and Java with two years of experience in Web development and working with Rest APIs. Highly skilled in Machine Learning and Data Science. Currently pursuing a Bachelor’s degree focused in Mechanical Engineering from Indian Institute of Technology, Kharagpur with a minor in Computer Science and Engineering. Looking forward for projects / internships/ research opportunities related to Machine Learning / Data Science.

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Quamer Nasim

Quamer Nasim

Visiting AI Researcher

 
 

Quamer is a MSc student and incoming PhD Candidate at IIT Kharaghpur studying Geophysics and Seismology.

He enjoys participating in Earth Science Study Circle – ESSC Society of Petroleum Engineers, IIT Kharagpur. His interests lie in Geophysical Signal Processing, Geophysical Inverse Theory, Pattern Recognition in Earth Science and is part of our growing team of Earth Sciences / Climate AI projects such as PETAI and CAELI.

 
Giovanni Cavallin

Giovanni Cavallin

Visiting AI Researcher

Giovanni began his studies in the field of Physics, a start he is always grateful for. He is currently graduating in IT in the University of Padua.

His main interest resides in machine learning problems – which are my current preferred topic of interest in my studies – and in particular their application in the field of neuroscience.

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

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.

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

Jelle Braaksma

Jelle Braaksma

Software Engineer

Jelle is developing various platforms for deepkapha.ai. These aim to bring talent to enterprises through real-world projects. Across the globe, 100% remote!
The platform will offer great opportunity for remote machine learning engineers, data scientists / researchers to work on projects.

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