Rasa supplies the standard infrastructure for conversational AI, providing the tools required to build better, more resilient contextual assistants. With more than 25 million downloads since launch, Rasa is loved by developers worldwide, and supported by our friendly, fast-growing community working together and learning from each other to make better text- and voice-based AI assistants.*There are two key components to Rasa’s Conversational AI offering. Rasa Open Source is the most popular open-source framework for conversational AI. Rasa Enterprise is the company’s commercial offering, providing an enterprise-grade platform built on top of Rasa Open Source for developing contextual assistants at scale. Rasa runs in production everywhere from startups to Fortune 500s and provides the data privacy and security needed by enterprises of every size.*Rasa is privately held with funding from Accel, Andreessen Horowitz, Basis Set Ventures, and others. The company was founded in 2016 and is remote-first with a presence in San Francisco, Berlin, London, and Belgrade.*

• Built a chat bot WebApp end to end, using ReactJS - Flask and Integrated it with RocketChat to aid customer service agents.• Conversational AI: Finetuned Dense Passage Retrieval (DPR) models from HuggingFace on chat data to solve FAQ suggestion task.

• Investigated the use of reinforcement learning methods for resource allocation and resource determination.• Implementation of synthetic data generators and management of IoT nodes within a CORE emulation infrastructure.• Generation of network data traffic in real-time with MGEN and modelling of mobile network nodes with EMANE.

Support for custom assets - Designed a feature to store custom media assets in the lab. Backend converts the uploaded media data into a suitable format executable on the robot (EV3, NXT).Project Homepage: https://summerofcode.withgoogle.com/archive/2019/projects/5012182255796224/

AI bot- Building a conversational nutritionist AI bot called Ria that helps maintain fitness.

As a Software Engineer in Predictive Analytics Division (Population Health Management) of Cerner, I was involved in developing Clojure programs to identify and assess medical condition of a person. I also took ownership of projects related to internal utility development that enriches development experience. One such key utility was a Client Onboarding Tool, which creates Clojure programs automatically based on few specification parameters. This tool was a major improvement in avoiding re-writing custom Clojure programs for every client and decreased development time by 85%.Technologies: • Experience in Healthcare analytics - Population Health Management using Clojure, Hadoop and Hive framework.• Worked on building a highly responsive Web application using technologies like Clojure, Jquery, JavaScript, JSP, AJAX, Bootstap, Servlet, JSON, Java.

Using Go-Docker to enhance Galaxy functionalitiesThe project idea is to integrate the Go-Docker system with Galaxy. Go-Docker is a cluster management tool using Docker as execution/ isolation system. Using Bioinformatics dedicated Docker hub (BioShaDock), It allows life scientists to use powerful tools in a easy and secure way while finely managing infrastructures resources.Deliverables: • Built a full fledged runner which interfaces Galaxy and Go-Docker.• A tutorial on building a runner for new developers.• Enhanced the existing Galaxy Go-Docker tool.Proposal:https://drive.google.com/open?id=1guYkJr06BjenYFL6i9phtFn1PxP8isbCsHykTRUPq1Q

• CICD for Axis builds using Release ManagerDeveloped scripts and workflows to automate the process of build to deployment (Azure Cloud Deployment).• Experience with Windows Universal App development and Cortana API