Detail-oriented, organized and meticulous employee. Works at fast pace to meet tight deadlines. Enthusiastic team player ready to contribute to company success.
Chatbot Developement
Date of Birth: 01/15/95
Working as a backend engineer for wizenoze client. worked on their platform which combines educational insights, AI and data to help you share the best suitable content matched to the personal needs of your learners. Utilizing Java + Springboot stack . working with spring boot framework , mysql DB,AWS cloud,Jenkins, Python, Elasticsearch , Machine Learning , Generative AI and chatbot techonlogies.
Built Provider Portal: a US child welfare platform managing profiles, patient docs, and alerts. Utilized .Net Framework Web APIs and SQL Server for REST API development as a backend developer.
As a full-stack developer at OMNI, crafted REST APIs (Node.js, MongoDB), and developed the Web Portal Frontend (Angular, Bootstrap) on AWS Workspaces, AWS WorkDocs.
Viki is a product basically developed for the US health care market for taking care of the elderly seniors. Its IoT based platform which is backed by the AWS stack. Basically it is a suite of different components i.e Alexa Compatible Speaker, Mobile App, a Web Portal and RPA Solution.
Freelance-developed chatbot platform: No-code creation, quick integration, and natural language training. Built with NODE JS, Rest API, ANGULAR 5, Materialize CSS, Python, and RASA NLU framework.
At NIIT, I engineered services for DAP, an employee onboarding platform, including a Recommendation Engine, Chatbot platform, Streaming System, and Multilingual Close Captioning. Leveraged AWS, IBM Watson, Google APIs, and JavaScript plugins for user event tracking and video streaming.
GPS is a platform developed for taking the feedback from users on the basis of training done by users. I worked in this project and added a new functionality which is called 2up Presentation where a coach and learner can talk via video realtime and their conversation will be recorded as a single video.
It was a portal developed by NIIT for itself to manage the vendors who a providing different trainings. Basically it's a place where a vendor can register himself and tell about the trainings which he/she are giving and raise PO and Invoices.
It’s a platform developed for visualizing the data in a graph format gathered from different data sources like CRM, Databases, Events Data etc. Developed the dashboard for a customers like SHELL, Unilever, GSK while working in ease.
MTS is product developed by niit for corporate trainings. Its a LMS (Learning management system). I worked in developing various implementations for different clients like Signify, SHELL, Unilever, Quintiles, British Petroleum etc.