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Software Development Engineer

Location:
Everett, WA
Posted:
December 05, 2024

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Resume:

BIDUR BHURTEL

Seattle, Washington 618-***-**** **************@*****.*** LinkedIn

WORK EXPERIENCE

Amazon Web Services (Software Development Engineer) Sep 2022 - Present

• At AWS Bedrock, worked on building APIs using Smithy, Java, DDB, Dagger, AWS SDK and workflows using aws lambdas and stepfunctions to help customers fine-tune foundational models. Released service: Finetuning with Calude 3 Haiku

• Owned and delivered the Expansion of the data protection feature of cloudwatch logs to accept customer-defined data identifiers. Released service: Amazon CloudWatch Logs data protection custom data identifiers

• Migrated data-protection dataplane from using Kinesis Producer library to Kinesis SDK. Implemented custom retries for SingleTe- nent and kindergarten log group when single tenant sidelines to a SQS queue immediately but KG will shuffle shard and retry some times and if it does not succeed.

• Created public-facing API using Java, DynamoDB, AWS CDK, and other related AWS services

• Created a dashboard to view the fleet size of all CWL services in a single view using Java and Jinja templating.

• Worked on Operational issues and issues that helped lower on-call load. (Few of themwouldbeimplementingProfilertovisualize CPU utilization, enabling GC logs)

Delta Airlines (Developer) Oct 2021 - Sep 2022

• While working on Skymiles Activities and Benefits Project. Created a Welcome model for new customers choosing different promotional vouchers.

• Created error model for cases where information of customer trying to create a new account match the information on another account.

• Created components of MySkymiles landing page as part of a project to improve customer experience on the the landing page. Southern Illinios Univeristy Carbondale (Graduate Research/Teaching Assistant) Sep 2019 - May 2021

• Assisted in teaching Digital Signal Processing and Computer Organization, and worked in research lab of Prof. Dr. Lalit Gupta. Office of Jeetpursimara Sub-metropolitan City (Software Engineer) Mar 2018 - Jun 2019

• Used Drupal to build news and notices section of sub-metropolitan’s official website TECHNICAL SKILLS

• Languages: Java, Python, JavaScript, TypeScript, C, C++

• Distributed Systems: Smithy, RPC, REST, Docker, Kubernetes,

• Frameworks & tools: Spring, JUnit, Maven, Log4j/SLF4J, Dagger, Guice, Jinja

• Web Development: HTML, CSS, Angular, React

• Cloud: AWS (EC2, S3, CloudWatch, ECR, EKS, ECS, Stepfunctions, Kinesis, DynamoDb, SQS, IAM, CDK, Cfn, VPC, Route53 )

• Machine Learning Libraries: PyTorch, Keras, Scikit-learn

• Data Visualization: Matplotlib, Seaborn, Pandas, Numpy

• Version Control: Gitlab, Github

EDUCATION

• Southern Illinois University Carbondale (MS, Electrical and Computer Engineering) GPA: 4.0/4.0 CourseWork: Machine Learning, Data Mining/Big Data Analysis, VLSI Design & Testing Graduated: May 2021

• Tribhuvan University, Pulchowk Campus, Nepal (BE, Electronics and Communication Engineering) Coursework: Object Oriented Programming, Microprocessor, Computer Networks Graduated: Sep 2017 MASTER’S THESIS

CNNs versus LSTMs for time series forecasting

• Studied and implemented various Deep Learning architectures

• Estimated the water outflow of a river using heavily unbalanced data and custom architectures

• Demonstrated that, through the extraction of highly complex features which couple information across time series predictor variables and across time lags, CNNs can outperform LSTMs for time series predictions. AWARDS

• Master’s Research Fellowship - Southern Illinois University Carbondale Aug 2019

• High Achiever Scholarship - Tribhuvan University, Nepal Nov 2013 PERSONAL AND ACADEMIC PROJECTS

• Sorting Visualizer: web app that helps in visualizing how merge, selection, insertion and bubble sort algorithm work Sorting Visualizer Link

• Tumor/non-tumor classification based on Breast Cancer Wisconsin (Diagnostic) Data Set; achieved 95.3 % classification accuracy

• Human activity recognition using smartphones with a public domain dataset that includes activities WALKING, WALKINGUP- STAIRS, WALKINGDOWNSTAIRS, SITTING, STANDING and LAYING



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