Shaeed Khan
Software Application Development Engineer at Intel Corporation
Based in Vilnius, Lithuania
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Seniority
Staff
Department
Information Technology
Location
Vilnius
Industry
Semiconductor Manufacturing
Company size
110K
Contact information
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s•••••••@intel.com
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Background
About Shaeed Khan
Experienced Software Engineer with experience in Python, FastAPI and cloud. • Leveraging expertise in Python, C#, Java and C++ for designing and implementing innovative solutions. • I have 6 years of experience in Python, 3 years in C#, 2 years in Java and C++. • Led technology teams, emphasizing technical leadership and project management. Demonstrated excellence in project management, ensuring timely delivery and adherence to quality standards. • Contributing to micro-services and cloud-based backend development using technologies such as OpenShift and Docker. • Experience in SQL and Big Data/Hadoop technologies like PySpark. • Integrated Kafka for real-time data streaming and event-driven communication. • Applied mathematical operations, data manipulation, and statistical analysis using NumPy. Worked with complex data structures like DataFrames and Series. • Contributed to the development of robust automation frameworks using Python and C#. • Leading efforts in debugging and resolving complex issues efficiently, ensuring the stability and reliability of deployed applications. • Extensive experience in cloud computing with a focus on Azure, and familiarity with serverless computing, infrastructure as code, and cloud-native development practices. • Excelled in Agile development environments, adhering to methodologies such as Scrum. • Collaborating seamlessly with cross-functional teams to align technical strategies with business objectives. • Serving as a key liaison between development, testing, and deployment teams for streamlined project execution. • Adept at using regular expressions for validating and manipulating textual data. • Playing a pivotal role in the automation of processes, driving efficiency, and minimizing manual interventions.
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