Software engineer

Summary

I have a Master's degree in Computer and Information Sciences from the University of Buffalo and a Bachelor's degree in Electronics and Communications from Lovely Professional University. I have a strong background in computer science and have taken courses in various areas such as data structures, statistical data mining, advanced machine learning, and computer vision. I have experience working with a variety of programming languages such as Python, Typescript, Go Lang, C++, Java, JavaScript, C#, and swift. I am also familiar with web technologies like Node.js, React, Cortex, MySQL, Bash, Git, HTML, CSS, Docker, Kubernetes, Linux, Cassandra, Kafka, Ruby on Rails, Hive, HDFS, MapReduce, and Spark.
In terms of professional experience, I have worked as a Software Development Engineer with Amazon Web Services where I was part of the team that designed, built, and contributed to observability solutions using open-source projects like Prometheus and Cortex. I collaborated with peers to create CloudWatch alarms across large-scale distributed systems, which helped improve the scalability and availability of our service. I also helped production cells which are a vital part of the service's data plane, which contributed to onboarding more customers and scaling up customer usage.
I also worked as a Software Engineer with Cognizant, where I was responsible for building scalable high-quality products using Java and React JS. I also designed and built the major UI and front-end parts of a luxurious hotel website using HTML, CSS, and JavaScript.
I also had the opportunity to work as a Software Engineer Intern with Google where I accomplished my mission by supervised and unsupervised classification, Rule-based feature extraction of time series of worked on building new customer-facing features impacting thousands of customers on the google cloud platform by developing API models. I worked on testing the APIs by writing test cases using selenium and TestNG and coordinated with stakeholders and senior engineers to achieve the ultimate goals.
Finally, I also have experience as a Data Engineering Intern with the City University of NY at NYC, where I accomplished my mission by supervised and unsupervised classification, Rule-based feature extraction of time series of Sentinel 2 satellite images by segmentation to track carbon emissions provided high-quality actionable insights.
Overall, I have a strong background in computer science and have gained experience working with a variety of technologies and tools. I am passionate about using my skills to solve problems and help improve the scalability and availability of services. I have been able to deliver results and make a positive impact in the companies I worked with and I am excited to continue to do so in my future endeavors.

Expectations

work-life balance, and challenging problems to solve.

Employment Preferences
  • United States
Expected Base Salary

**0,000 USD

Expected Hourly Rate

** USD/hr

Academic Degree
Experience

Total Professional Experience

2 years

Startup Experience

no experience

Big-Tech Companies

1 year

Enterprise Experience

2 years
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Contacts

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