Dec 2020 – Dec 2020 · 0 mo · Boat Club, Guindy, Chrompet.

• Collaborating with rockstar eminent professors from Anna University, Directorate of Technical Education(DOTE), CEG, MIT, SAP.

Oct 2020 – Dec 2020 · 2 mos

• Work closely with Dr. Yokesh Balaraman ( https://www.linkedin.com/in/yokesh-balaraman-m-d-m-s-45677575 )

Jun 2020 – Present · 6 yrs

Jan 2020 – Present · 6 yrs 5 mos · New Delhi, Delhi, India

• Okay, so...Yes. Here is the big-picture for the curious minds. I do, appreciate your "inquisitive curiosity"( basically "God" in a different "dimensional space"). To put it bluntly, it's basically everything and nothing at the same time depending on which school of ideology/thought/philosophy you predominantly subscribe to. To quote Einstein, there are two ways to live life—accepting everything as a miracle or just a commonplace thing.
• But, definitely it's much closer to the "Cosmic" intersection of 'Language', 'Intelligence', Philosophy, Art, Humanities, Technology, and of course ML/AI/AGI and everything else.

Aug 2019 – Dec 2019 · 4 mos

• Vacation after a decade of "rat-race" work.
• I needed few weeks of break to find purpose and meaning; specifically in professional endeavours--while also getting my act together on all possible fronts.

May 2019 – Jul 2019 · 2 mos

Apr 2019 – Present · 7 yrs 2 mos · Singapore

Jan 2019 – Present · 7 yrs 5 mos · San Francisco Bay Area, APAC, Europe, US, India

• Contributed to the course content of Spring board Data Science Curriculum. Also contributed like-wise to courses at Udacity, Datacamp, SchoolofAI.
• Moreover, Analytics Vidhya, Great Lakes Institute, UpGrad, open-source Github repos are the other platforms I have contributed and volunteered in the past. Also I teach machine learning and deep learning to juniors at my alma-mater through workshops and AI meet-ups at my free time.
• Furthermore, Served as trainer/instructor/educator for the following courses--Machine Learning, Deep learning, Natural language processing, Computer Vision, Docker, Big-data ecosystem. Many Fortune 500 companies and startups--Yahoo, Microsoft, Visa, Honeywell to name a few.

Jan 2019 – Aug 2019 · 7 mos · Redmond, Washington, United States

Dec 2018 – Aug 2019 · 8 mos

• Working on Information extraction, Summarisation, Knowledge graphs in Health records using state of art cutting edge deep learning research in NLP. And building systems to extract knowledge bases thereby building interfaces to browse and curate the resulting knowledge bases and better understand EHRs to automate US health-care Revenue cycle.
• Developed a patented novel algorithm and pushed it to production with 95% F1-score for Surgery specialty(Current state of art). Working on more complex specialties such as Radiology, emergency(ER&EM) to name a few.
• Directly reporting to the CEO, CSO, CTO, CFO. Collaborating, managing and supervising the AI Research & Engineering team(~30 members comprising Engineers, Scientists, Physicians) under the Chief AI scientist’s supervision.

Jun 2017 – Dec 2018 · 1 yr 6 mos

• Angel-funded, profitable health-care startup focused on solving much inefficiency in the U.S. health-care revenue cycle management eco-system (http://buddihealth.ai/). We're building a world-class Health-care platform while solving impactful problems in artificial intelligence and language understanding specifically in the health-care domain.
• Working on state of the art methods and devising novel approaches to solve hard problems with healthcare data. BUDDI helps automate revenue cycle functions for providers such as: Medical coding (ICD-10, CPT, Modifiers, DRG), Predict & Prevent claim denials for both government and commercial payers, Real-time Clinical Documentation Improvement, Revenue Integrity.
• Few of the the problems I currently work on are - Information extraction using Deep learning, Sequence modelling, graph neural network, extreme classification at scale, Knowledge graphs, etc.
• Responsibilities include research and develop cutting edge machine learning and deep learning solutions for Revenue Cycle Management (RCM) of the healthcare space. Deal with extreme classification tasks with tens of thousands of classes, perform smart automatic text generation to Clinical Document Improvement (CDI) problems, develop solutions for Denial Prediction and Avoidance during Claims Processing. Mentor junior research engineers and scientists.
• Moreover, we have a cloud partnership with Microsoft for HIPAA compliance, PHI security and for scaling technology & business on Azure. And recently a partnership with Google cloud.

Oct 2016 – May 2017 · 7 mos

• Moved fast, broke things to fail quickly and iterate the products.
• Technically, worked on designing and developing ML, computer vision problems across multiple products and managed a team of three.
• Got involved from conception to design to development to sales, speaking to angel investors and venture capitalists, investment talks, pitch-deck preparation, sales, strategy, managing, etc for a patented AI Edu-Tech product. (http://admatic.co/).
• Shaped my entrepreneurship and management skills here. All thanks to the CEO(https://www.linkedin.com/in/saravanan-sundaramoorthy-87409485/) who trusted me.

May 2015 – Oct 2016 · 1 yr 5 mos

• Developed a personalised learning platform using traditional computer vision, deep learning for Image matching, segmentation, detection capability using cutting edge research to automate tool based technology learning without video and human assistance. Also Developed a Smart Weighing Machine adding computer vision capabilities to weighing machine with using cutting edge deep learning research.

May 2014 – May 2015 · 1 yr

• Early employee at a boot-strapped, early stage start-up.
• Worked on designing and developing the backend of Computer Vision based intelligent e-learning platform(Patented). Moreover, have also worked on Big data stack, Machine learning, deep learning, android projects in the past to deliver enterprise grade Big Data and Cloud Solutions, from Concept to Deployment.

Feb 2015 – Present · 11 yrs 4 mos · San Francisco Bay Area

• Remember the million dollar Netflix prize for movie recommendations? At Kaggle, data competitions like that get hosted for many different types of organisations with interesting data sets.
• I semi-actively take part in AI competitions based on my free time - applying state of art approaches in solving problems; specifically under any of the following domains - NLP, Vision, Speech and Predictive modelling. Have been a top scorer at times - https://www.kaggle.com/iamsiva11/competitions.
• Furthermore, Kaggle became a Google company after Google cloud acquired them(as of March 2017)! ( https://www.kaggle.com/general/29781). Also, if you're interested in working on interesting problems like reducing traffic on major roads, helping cure HIV, and improving the health of millions of people through clever algorithms, come join the learning fun and compete for big prizes at Kaggle!

Dec 2013 – Present · 12 yrs 6 mos

• Have been part of several philanthropic work across several domains-verticals(Financial, Intellectual, Social, Mentoring, etc)
• Food - Hotel Management, Cafe/Restaurant, Hospitality, FMCG. Advised, helped on sales/market-pitch, invested on multiple restaurants across Chennai - Park Hyatt Chennai, Robo Kitchen(https://robotickitchen.in/), Stories library cafe, Blind Chemistry, The energy zone, nutrition startup to name a few.
• Sports and Fitness - Golf, Tennis, Fitness, Yoga, Pilates.
• Music - KM music conservatory—invested on the same.
• Culture Preservation and Restoration - And specifically philanthropy on spiritual, religious fronts involving preservation of ancient culture, temples, etc.
• Aviation - Will update soon
• Apart from philanthropic work, I productively make use of my scarcely available free time.
• I pursue Writing through.
• https://artxhumanitiesxtech.wordpress.com/
• Moreover, I’m planning to publish a book by start of 2021, ping me if you want to know more about the same.
• https://www.goodreads.com/user/show/10447131-siva-sundaramoorthy
• twitter.com/iamsiva11
• I pursue Music through.
• Piano and pianist performance—from the Music conservatory of the legendary academy award winning ARR sir; specifically from the piano rockstar Surjojith Chatterjee sir.
• I pursue Art through.
• Cinematography, Photograhy, Painting, Art appreciation.
• Researching Art—majorly through literature, humanities, Media studies, and other multidisciplinary methods
• Filmmaking-Storytelling, Screenwriting, ( Documentary, Feature, etc).
• https://www.instagram.com/iamsiva11/
• YouTube.com/<stealth-mode>

Jun 2013 – Present · 13 yrs · Chennai Area, India

• Currently, I have been predominantly collaborating with the best minds from the non-STEM departments at IITM and of course with the affiliated universities and industries abroad than STEM/CS/AI scholars in the recent-past--speaking in a relative sense.
• Moreover, in the past decade(and currently occasionally), I frequently collaborate(d) with Dr.Balaraman Ravindran’s(https://www.cse.iitm.ac.in/~ravi/) PhD scholars(Sudarshan, Jeshuren and their team) as part of AI research at Buddihealth{Specifically, AI Research Scientist while doing a joint Industry-Acad. collab.}.