Danish K. Email & Phone Number
Who is Danish K.? Overview
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Danish K. is listed as Engineering at Model ML, a with 43 employees, based in London, England, United Kingdom. AeroLeads shows a matched LinkedIn profile for Danish K..
Danish K. previously worked as DevOps Engineer at Idenprotect and Cloud Engineer at Developers Core. Danish K. holds Master'S Degree, Advanced Computer Science from Cardiff University / Prifysgol Caerdydd.
Email format at Model ML
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About Danish K.
AWS Certified Cloud Software Engineer with 3+ years of experience in writing & architecting cloud-native solutions involves leveraging AWS services to design dynamically scale microservices. I successfully scaled services up to 10x for several projects, a testament to my commitment to resilient and efficient system architecture. With a Master's degree in Advanced Computer Science from Cardiff University, I bring academic rigour and hands-on experience.Proficiency in infrastructure automation is essential in my role, I employ Terraform for cloud resource management, ensuring rapid deployment and environment consistency along with the robust CI/CD pipelines I've established, utilizing primarily GitLab to streamline our build and test processes.
Danish K.'s current company
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Danish K. work experience
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Devops Engineer
Cloud Engineer
- Cloud-Native Architecture: Designed and implemented scalable, cloud-native solutions for enterprise projects using AWS services including Fargate with ECS, and EKS and optimized microservices architecture to handle up to 10x traffic surges dynamically.- Decreased cloud infrastructure provisioning time through implementing Terraform scripts, resulting in faster deployment and increased productivity.- Accelerated software delivery through building and maintaining CI/CD pipelines with GitLab. Integrated automated testing and monitoring to ensure continuous delivery of high-quality software, boosting team productivity and reducing time-to-market.- Analyzed performance metrics to optimize resource utilization using Grafana and AWS Cloud Watch, leading to a 50% increase in application efficiency and enhancing system reliability.- Team Collaboration: Collaborated with cross-functional teams including developers, QA, and business stakeholders to deliver secure, cost-effective solutions on schedule.
Cloud Software Engineer
RADWI is a smart product-based home automation startup and my work as a cloud software engineer was mainly but not limited to- Key contributor to the backend development of the internal payroll platform, primarily using Django, Python, and Firebase.- Developed and deployed a cloud-managed, cross-platform smart doorbell application using Kubernetes, microservices, and REST APIs. We enhanced database query performance by 400%.- Agile Practices: Practiced Agile methodologies (Scrum), performed code reviews, mentored junior engineers, and authored comprehensive documentation, resulting in improved team efficiency and project delivery times.- Primary tech stack used was AWS, Kotlin, Python, C, C++, Django, Firebase, Flutter, REST
Software Engineer
Full-Stack Development: Designed, developed, and maintained end-to-end web and mobile applications using technologies such as Flutter, C, C++, JavaScript, Python, React, Firebase, and Node.js.- Client Collaboration: Worked closely with clients to understand their requirements, provided technical consultation, and delivered solutions that aligned with their business goals.- Problem Solving: Diagnosed and resolved complex software issues, optimized existing codebases, and implemented best practices to enhance performance and scalability.- Project Management: Managed the entire software development lifecycle from conceptualization to deployment, ensuring projects were delivered on time and within budget.- Continuous Learning: Stayed up-to-date with emerging technologies and trends, continuously refining my skillset to provide innovative and efficient solutions.
Machine Learning Apprentice
- Crop Weed Detection System: Developed a drone-based crop weed and health detection system using machine learning algorithms, reducing manual monitoring time by 90%. Implemented a mobile app interface for real-time monitoring and control.- Smart Parking Application: Designed a visual computing-based smart parking system utilizing Yolo, ResNet, and AWS Rekognition for real-time vehicle detection, mapping, counting, and data visualization on a user-friendly web interface. We also conducted extensive data pruning and visualization using R-Studio and Jupyter.
Technical Student Lead
Organized the largest tech events Asia-wide such as - Google DevFest 2021- ACM Hackathons- Google Developers Group campus events.
Danish K. education
Master'S Degree, Advanced Computer Science
Bachelor Of Engineering - Be, Software Engineering
Frequently asked questions about Danish K.
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What company does Danish K. work for?
Danish K. works for Model ML.
What is Danish K.'s role at Model ML?
Danish K. is listed as Engineering at Model ML.
Where is Danish K. based?
Danish K. is based in London, England, United Kingdom while working with Model ML.
What companies has Danish K. worked for?
Danish K. has worked for Model Ml, Idenprotect, Developers Core, Radwi, and Fiverr.
How can I contact Danish K.?
You can use AeroLeads to view verified contact signals for Danish K. at Model ML, including work email, phone, and LinkedIn data when available.
What schools did Danish K. attend?
Danish K. holds Master'S Degree, Advanced Computer Science from Cardiff University / Prifysgol Caerdydd.
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