Working as Cloud Engineer in Amazon Web Services with a master's degree in computer science focused majorly in machine learning and software engineering. Learning new technologies and experimenting with them is one of my interests. Microsoft Az-900 Certified.Have experience in Azure technologies and AWS with a solid understanding of full stack development. I also have a Udacity Nanodegree in Machine Learning. When I'm not getting my thrills from problem-solving, I can be found playing FIFA or cooking
• Provide proactive recommendation throughout all phases of web service implementation for customers of all sizes around
development services: Messaging and mobile application development.
• Analyze, debug, replicate AWS service, SDK, System performance, Networking, Security level issues, and met required SLAs. Work
on Java, Python, Node.js, JSON, YAML to deploy cloud applications.
• Evaluate, analyze, and pinpoint data trends to drive root cause resolution and delivering solutions for optimizing the existing AWS
platform using metrics and logs, help to find bugs in the AWS service APIs.
• Served as a key contributor in the design, development and support of global/enterprise companies that are running cloud-based
mission-critical software applications, systems, and services by working directly with engineering and technology teams in Amazon
Web Services to ensure any software issues are resolved as quickly as possible.
• Develop custom solutions for enterprise customers leveraging AWS Services like Connect, Pinpoint, SNS, Chatbot, SQS, MQ, Amplify
Console, AppSync.
• Working on the Azure Apps services team and review all cases related to App Service (web app) and Azure Apps service Plans.
• Troubleshooting a variety of issues on the Azure platform, crashes/hangs, memory leaks, performance, rendering, network communication and code defects.
• Collaborating with management and engineering team to resolve service problems and to produce bug fixes, patches, test cases appropriate.
• Utilizing native Azure services(Azure DevOPS, Azure DB for MySQL, Azure DB for PostgreSQL, Azure Bot Service, Azure VM) to meet the client’s technology requirements and reproduce the issue. Also, conducted in-depth diagnostics on Azure platform and services
• Troubleshoot different deployment methods (ARM,VS,CI/CD,FTP etc.) and monitor their application with various logging options
• Exposure to different programming languages (ASP.NET, .NETCore, Java, Python, Go)
• Implemented the Project structure based on Django MVC pattern.
• Developed RESTful API web services using Django/Flask web framework.
• Maintained web sites, using authoring or scripting languages, content creation tools, management tools, and digital media.
• Designed web pages using HTML, CSS, Bootstrap and client validation using JavaScript.
LEANEVENTO Web Application is built using PHP Codeigniter under XAMPP, which consists of Apache web server with other features built in. The web application is implemented with HTML, CSS and JavaScript on the front-end as many other websites. Database would be stored and managed using MySQL, which is stacked in and very convenient to use with XAMPP. On the back-end, server-side logic and database connection would be managed by PHP.
Designed a web application to track the movies users want to watch. Application is built using React.js on front-end and Vert.x on back-end.
Made a smart navigation cane that will aid and improve the commuting experience of the elderly and the blind in the day-to- day life. The system should also have the capability to detect obstacles on the way and alert the user.
The purpose of this project is to derive different classifiers. Classify drug users using Decision Tree, Bayes Classifier, nearest neighbor and to use classification metrics.
The purpose of this assignment is to cluster drug users using K-means clustering and Hierarchical Agglomerative clustering models and to visualize clusters for predicted and actual cluster labels. Determined K through Elbow method.
Daily trading data over a certain range as input and outputs projected estimates for given query dates with the help of different machine learning methods.
Built TARS ( The Automated Response System ) using python as backend. It was an open end to end speech based intelligent personal assistant.
Made a web based application to visualize the world wide news up to street level on a map by crowdsoucring the information from the users.It's a location based service for sharing events, incidents or anything of interest.
Apart from being a developer, I enjoy most of my time being outdoors. I love football (or Soccer). Avid Manchester United fan.
When forced indoors, I follow a number of sci-fi and fantasy genre movies and television shows and I spend a large amount of my free time exploring the latest technology advancements in the world.