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Schedule Interview NowMy name is Muhammad B. and I have over 5 years of experience in the tech industry. I specialize in the following technologies: Docker, Microservice, Kubernetes, Python, Golang, etc.. I hold a degree in Bachelor of Science (BS). Some of the notable projects I’ve worked on include: Automation, Dockerfile, Teacheasy.ai is an AI-powered learning platform. I am based in Pir Mahal, Pakistan. I've successfully completed 3 projects while developing at Softaims.
Information integrity and application security are my highest priorities in development. I implement robust validation, encryption, and authorization mechanisms to protect sensitive data and ensure compliance. I am experienced in identifying and mitigating common security vulnerabilities in both new and existing applications.
My work methodology involves rigorous testing—at the unit, integration, and security levels—to guarantee the stability and trustworthiness of the solutions I build. At Softaims, this dedication to security forms the basis for client trust and platform reliability.
I consistently monitor and improve system performance, utilizing metrics to drive optimization efforts. I’m motivated by the challenge of creating ultra-reliable systems that safeguard client assets and user data.
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Techlogix
I was responsible to manage linux based servers on AWS which were running jira, wordpress, mysql on multiple environments like staging, testing and production Besides that automating the database backup and restoring for wordpress sites and jira. There were around 40 staging sites and automating wordpress configuration was my responsibility. Moreover updating wordpress plugin using shell script automation. My contribution was to manage servers and making database backup and restore automation using shell script.
Task was to deploy Nodejs API to GCP serverless environment using Cloud Run. Fixing the issues with the dockerization process. I contributed to fix the existing Dockerfile to make it running a container. Application was containerized with docker compose which was not acceptable by cloud run. So, modified the Dockerfile to run contianer without docker compose. After that build and pushed the image to google container registry to be used/fetched by cloud run. Finally deployed the container to cloud run and made client to fire POST requests and receive data.
Teacheasy.ai is an AI-powered learning platform built with Vue.js, Firebase Auth, Firestore as a NoSQL database, and Python-based Cloud Functions. It offers personalized teaching tools, AI-driven chatbots for student assistance, and multilingual support via i18n. Teacheasy empowers educators to track progress, manage tasks, and deliver tailored learning experiences, enhancing student engagement and outcomes.
Bachelor of Science (BS) in Computer science
2012-01-01-2016-01-01