Ahsan Nabi Dar

Delivering of PWA along current website under same structure.

Slack Bot for Amazon Web Services reporting about EC2 behind an ELB

Import,process and Integrate TrustYou MetaReviews for over 50,000+ hotels

Data processing from AWS S3 to Google BigQuery

Jenkins based manager to control AWS EC2 instances for long running tasks

Moved analytics Server in to our VPC and automated infrastructure using Chef. Improved data collection and importing to Big Query for Data team.

Implemented CPC value per POS from previous single CPC for all POS, increasing value for partners based on their presence and reach helping the management make better decision for assigning marketing budget.

Developed automated mobile app build and content/asset managment system, to streamline process from developers to the client through business delivery team. One stop delivery system for releasing apps with different configuration and assets to multiple platforms from multiple code sources and manage App assets and configurations

This project explores the potential of having mashups based on Linked Open Data instead of traditional mashups; which are based, on Web APIs (Application Programming Interface). It describes the development of an application that access, consumes and mashes up the retrieved data and proposes a design solution that applies a procedure to mashup Linked Open Data based on literal matching to support the possibility of using Linked Open Data for mashups.

iOS app, 4 Ruby web services and Mac OS X application for publishing digital magazine editions

Dashboard displaying stream of validations results on analytics data based on Websockets with Elixir

Slack bot written in Elixir to find match in messages and attachments and forward to subscriber of that pattern. Also includes slack messaging API integration to use as a microservcie for all services to communicate to slack by sending messages to individuals and groups with attachments.

fitbit clock face Apps AND V1 and AND V2

Update current batch pipeline to a Kafka based stream piepline

Migration of Wego services from HTTP to HTTPS

Distil Network is leading bot detection and blocking system. Worked with them closely for integrating and implementing features to make their system work with our services

Reverse Proxy setup and automation of web server configuration management

Video analytics generating software based on Scala, Akka, FFmpeg and OpenCV. Highly parallel processing, capable of processing multiple videos at the same time with more than one feature for analytics executed in parallel

Push message delivery management system to liaise with Apple's Push Notification system, allowing business to manage apps, devices and send message to specific device or group of devices for an app.

Worked closely with Professional Services, Estate Management, Legal, Surveyors, Finance, Communication teams at Ringley to automate their services and provide a central solution from which every department co ordinates and works together for their clients. Also worked with the mobile development team to help provide an electronic solution to paper based procedures.

Simobo is a SMS-based social network. You can chat with friends, share news, get help, meet new people, all through your mobile!

Initiated the development of a SMS based IM service that feeds into MSN, Yahoo, Gtalk and Facebook using XMPP protocol i.e. without accessing the internet for mobile users.

Generation of 3-D perception on a standard 2-D display by rendering of on screen graphics relative to tracked head movements using a standard low cost webcam.

APIs have become a rising web standard with an increase in client apps ranging from Web to mobile apps. At Wego our analytics API has been at the core of delivering value to the user and business at the same time.

Our original Real time Slack Bot Ultron was a AWS Cloudwatch Bot. It served its purpose well and saved us from lot of performance and downtime issues with alerts that are not available via Cloudwatch. All was well but its greed for more compute resource knew no bounds. As our infrastructure grew so did its memory and CPU consumption. It was still manageable to run it as a Cloudwatch slack bot so we didn’t think much over rewriting or optimising it.