Handling betting marketplace which runs various multi-region betting applications (bet365.co.uk, fun88, etc) running in UK, China for multi million active users. The technology used MERN, microservices, Kubernetes, Docker, ALB, etc. Handling approx 50+ devs on multiple geo-locations including Philippines, Singapore, UK, and India.

Project 1: Backend API ServerTechnologies: NodeJs, PHP, PYTHON, DJANGO, Express, Redis, MongoDB, Amazon ECS, SQS, Amazon ELB, MicroService Architecture, NginxRole: Architecting, designing and writing code, making it scalable up to multi million requests per day. This server is used for authentication and providing REST API request and response. There are many monitoring services running to make sure the server is up and running 24/7.Project 2: Signaling serverTechnologies: NodeJs, Redis, RabbitMQ (Amazon MQ), Socket.io, MicroService Architecture, NginxDescription: Custom Signaling server which communicates with MCU and peer to peer, written in nodeJS, supports multiple peers for daily calls. Communicates with S3 and Elasticsearch.Project 3: Data Analysis serverTechnologies: Elasticsearch, S3, Amazon Kinesis, NodeJS, Kibana, LogStash, Hadoop, Hive, Impala, (Amazon Glue), d3 JSDescription: Created the architecture for the data analysis server, compatible for analysing terabytes of data. It takes data from millions of devices, processes and shows consolidated real time analytics with various data points and keeps processed legacy data so customers can get past reports on request.Project 4: Frontend SDKsTechnologies: JS (ECMA 6), ReactJS, WebRTCDescription: Lead, designed and wrote Frontend SDK and demo application code which are compatible with all browsers and follow Signaling protocols to communicate to WebRTC.Project 5: Emotional Intelligence EngineTechnologies: Python, Tensorflow, CNN, Machine learningDescription: Tensorflow based Machine learning engine which extracts emotions from client calls (call center) and based on that creates a feedback report of the call.

Project 1: Platform as a Service(PAAS)Environment: NodeJs, Express, Redis, MongoDB, Angular JS, Docker, Mesos, Marathon, HAPROXY, Orchestrator, Ansible, Azure, AngularJS. Role: Worked on Cloud design patterns, performance and maintainability, Architecture of complex technology eco systems connecting 1000s of service providers and consumers, Articulate architecture concepts and solutions to developers, managers and executives. drive the design and build out of a new platform, including the user-facing features and core back-end functionality. architect complex web applications using frameworks and apisProject 2: Node Js framework development and Api developmentEnvironment: NodeJs, HAPI, Jade, Redis, ZeroMq (PubSub), MongoDB Description: The Friendly & Fun Javascript Fullstack Framework for your next API/Web/Mobile/IOT/Wearables application. It is designed to give you a quick and organized way to start developing an application. We mainly try to take care of the connection points between existing popular frameworks and solve common integration problems.Role: Application Architecture design, Module Development, Load Balancing, Containerization of application, Apigee Authentication layer setup.Project 3: Chatbot for EquinixEnvironment: NodeJs, MongoDB, Machine Learning, Tensor flow, API.AI Description: Created chatbot with artificial intelligence capability which took data from various api sources, trained model, and gave responses based upon intents of user queries. Role: Application Architecture design, selecting data sources, training models, setting up intents, etc.

↱ Leading team of 10 persons globally (USA, India, and Nepal), dedicating 20% of time in Management and 80% of time in coding.↱ Worked on Web solutions, a JS for Web Font delivery with Google.↱ Leading Skyfonts team to create a Skyfons tool to be used by Google and Monotype.↱ Working on NodeJS, Cassandra, Redis, and MongoDB for setting up Real Time Analytics for massive load on AWS.