We have helped various startups and mid-size businesses in North America, Europe and Asia-Pacific to embrace Artificial Intelligence.We delivered chat bots for finance, retail, telecom and hospitality using NLP and ML* FB Messenger Bots, Alexa Skills, Telegram Bots* Smart Chat Assistant for the US stock traders* Shopping Assistant to assist shoppers in Retail environment* AI enabled customer support for Telecom to reduce the load on call centers

We develop residential properties in Bangalore and Davangere. Since our inception in 2018, we have developed over 40,000 sqft as of Jan 2023.

Helping "Stanford Center for Professional Development" take some of the best grad courses at Stanford to working professionalshttps://scpd.stanford.edu

Key member in the architecture and development of a chatbot that can engage with users on multiple platforms like Facebook Messenger, Twitter, WhatsApp, Telegram and Websites. The chatbot can converse in English and Arabic with the ability to switch language mid conversation without losing the conversation context. The chatbot also has support for Human In the Loop where live agents can intervene and handle the conversation when the chatbot cannot proceed.

Heading Technology and Training at The Valley Bootcamp.The Valley Bootcamp is an intensive coding bootcamp for students and professionals looking to learn a new skill. We have trainers from industry and our class strength is kept small to enable interactions and discussions. We excel at project driven learning. We also provide placement assistance.- Full Stack Web Development- Python- Machine Learing

* Enabling Niki on Alexa* Enabling Niki to answer frequently asked questions* Interviewing and on boarding ML engineers

Research and development of dialog systems used by some of the Fortune 500 companies for customer care. I am building dialog systems which use speech recognition, natural language understanding and dialog state tracking.* Synthetic data generation to solve the cold start problem in a new domain* Hierarchical tagging to extract higher level concepts from user utterances* Facebook Messenger Bot integration, Alexa integration* Augmenting generic language models with domain specific language models to improve ASR

Research Staff Engineer at Thomas J Watson Research Center, Yorktown Heights.* Research on conversation systems* Multi turn conversation to interact with databases for e-commerce applications taking a schema, domain and database technology agnostic approach.* Deep reinforcement learning for synthetic goal oriented conversations* Information retrieval approach to answering FAQs* Seq2seq approach for end to end goal oriented dialogs and further improvements* Reinforcement Learning for goal oriented dialog

• Entity extraction from user text for an artificial intelligence based personal assistant. (CoreNLP, NER, POS)• Information retrieval with contextual scoring using Elasticsearch on Open Street Maps data.• Dialog system for goal oriented tasks such as bus booking, food ordering, etc

Visual, cancer treatment comparison tool integrated with Watson for Oncology application. The comparison tool offered a personalized trade off analysis experience for the patients.Filed for a patent titled "System and method for optimizing visualization for comparative treatment analysis from a cognitive and personal approach"Technologies - node.js, angular.js, trade off analysis.

Laboratory for Analytic Sciences is a collaboration between NSA and NC State University with focus on big data analytics and solving challenging data analysis problems.http://ncsu-las.org/

Designed and developed a Multimedia System Framework for use on cloud (www.farmott.com)Designed and developed a live video transcoding and HTTP streaming solution. H264, HEVC and DASHDesigned and developed a GUI using MFC to control an audio loudness leveling solution and plot graphs from the loudness values computedPrototyped a live video streaming client server setup using FLV file format and Flow Player

Designed and developed an implementation of DHCP and Zero Config network protocols to be run on embedded systems which meant low memory and CPU consumption. Also learnt about cross compilation.

Worked on the web interface for an SMS based puzzle game. Ruby on RailsDesigned and developed an algorithm to schedule participants to puzzles with a goal to minimize crowd at any venue