Jan 2022 – Present · 4 yrs 2 mos · San Francisco Bay Area

• Help to shape the AI/ML topics and content of each DevNetwork conference; reviewing the call for Speakers' submissions. Judging hackathons to spot the best team and solution.

Jan 2021 – Present · 5 yrs 2 mos · United States

Jan 2020 – Jun 2024 · 4 yrs 5 mos · Cupertino, California, United States

• Helping our customers (asset-heavy manufacturing companies) to achieve economic and ecological sustainability by transforming their operations using Eugenie. Sustainability-led digital transformation is the way industry 4.0 getting disrupted, Eugenie is proud to be part of that transformation process for several industries. AI for social good; AI to address climate challenges- reduction of carbon emission and footprint. #jointherevolution

Oct 2018 – Present · 7 yrs 5 mos · India

Jul 2018 – Dec 2019 · 1 yr 5 mos · Mumbai Area, India

• Eugenie.ai

Oct 2017 – Jul 2018 · 9 mos · Mumbai Area, India

• I worked towards a mission to create immersive analytical solution and products for business users in enterprises, leveraging cutting edge Machine Learning and Data Mining techniques. In Fractal, I lead a team of champion data scientists and data engineers working on some of the most complex analytical problems related to predictive analytics and AI based conversational agent design using cutting edge machine learning and NLP techniques.

May 2016 – Oct 2017 · 1 yr 5 mos · Mumbai Area, India

• Cuddle is a AI-based personal analyst, delivering relevant business insight in the form of bite-sized cards on your smartphone. Much like Facebook is often the central source for updates on the personal lives of family and friends, the Cuddle app delivers real-time business information, tailored specifically to the individual. Cuddle integrates multiple data sources, utilizing AI and machine learning to translate them into essential knowledge and reinvent the way analytics are consumed throughout the enterprise.
• Cuddle.ai has been incubated by Fractal Analytics - a leading global analytics company.
• In Cuddle, I lead a team of champion data scientists and data engineers working on some of the most complex analytical problems related to predictive analytics, recommendation system and AI based conversational agent design using cutting edge machine learning and NLP techniques.
• I am currently looking for champion data engineer for my team! If interested, please drop a line at soudip.chowdhury@fractalanalytics.com or soudip.chowdhury@cuddle.ai**

Jun 2015 – Dec 2015 · 6 mos · Paris Area, France

• I am one of the core members responsible for conceptualizing and designing a novel business intelligence platform for e-commerce. In particular, I am developing scalable algorithms for accurate product matching across several e-commerce sites by using data mining and machine learning algorithms. I am also leading the predictive analytics activities which involves solutions like smart supply-chain management design, demand forecasting etc.

Sep 2013 – May 2015 · 1 yr 8 mos · Saclay, Paris, France

• I was involved in projects that deal with models, languages, and algorithms, for efficient processing of large-scale complex data. The scope of this research is to optimize the runtime performance of analytical queries written in PigLatin and running on top of Hadoop and make use of MapReduce and the Hadoop Distributed File System (HDFS).
• I was also involved in a project that exploits a novel framework for social data management, integrating query processing and data-sourcing, namely crowd- augmented network-aware search. In this work, I am involved in designing a system (Crowd Augmented Network-aware TOp-k), which illustrates the core principles of leveraging friend- sourcing when answering queries in social applications.

May 2013 – Aug 2013 · 3 mos · Trento Area, Italy

• I was involved in designing and developing a next generation e-commerce recommendation system that incorporates social profiles of users along with traditional user and item profiles for providing more relevant product recommendation to users.

Jan 2012 – Jan 2012 · 0 mo · Qatar

• I have designed and developed a system for storing and indexing real-time twitter stream data and classifying them at real-time according to content-based features.

Dec 2009 – Mar 2013 · 3 yrs 3 mos · Italy

• During this period I worked as a research assistant for 2 European Union research projects.
• (COMPAS - http://cordis.europa.eu/fp7/ict/ssai/docs/finalreport-compas.pdf, and
• OMELETTE - http://www.ict-omelette.eu/home).
• During this time, I have also worked on my PhD thesis "The topic of my PhD thesis is "Assisted Reuse of Pattern-Based Composition Knowledge for Mashup Development", which resulted in several peer-reviewed international publications.

Dec 2007 – Nov 2009 · 1 yr 11 mos

• I was involved in various research projects at IBM India Research Lab, IBM Watson Research lab, especially projects related to model driven architecture and designing.

Jan 2007 – Jan 2008 · 1 yr

• I worked as a system engineer for Telecom Industry. During this period I worked on IP Multimedia System (IMS) infrastucture for NGN, in telecom arena.

Jan 2004 – Jan 2007 · 3 yrs

• I worked on several platform and technologies starting from pervasive mobile to client-server networking architecture to DVB standard. I was also involved in projects related to embedded system design and development. My work included porting JVM embedded version (KVM) with JIT compiler for Set-top-box.