Available to hire
I’m Bhavya Bhimani, a software developer based in Oakville, Canada, specializing in backend services, data pipelines, and cloud-native architectures. I enjoy building scalable systems using Python, Django REST, and modern DevOps practices, and I focus on creating reliable software through automation, monitoring, and well-designed APIs.
I thrive in collaborative environments, delivering impactful features across the full software stack. My interests include AI-enabled data processing, test automation, and continuous learning in cloud technologies to drive operational excellence.
Skills
Language
English
Fluent
Hindi
Advanced
Work Experience
Software Developer at Dynamic Connections
December 1, 2023 - February 28, 2025Built and optimized a Salesforce API connector using Python to automate freight rate ingestion, improving speed and reducing manual workload for internal logistics operations. Developed backend services and maintained CI/CD pipelines with Python and GitHub Actions, reducing deployment failures by 40% and improving release reliability. Refactored data pipelines and orchestrated ETL workflows, ensuring reliability and consistency across batch processing. Led UI and end-to-end test automation using Selenium, JMeter, and Playwright, reducing regression bugs by 25% and improving testing coverage. Implemented observability workflows using Prometheus, Grafana, and Dynatrace to monitor system health and enable proactive operational insights.
Software Developer Intern at Microsoft Corporation
September 1, 2022 - April 1, 2023Developed secure backend services with Django REST Framework, managing over 300 daily test results entries with role-based access control to ensure data security. Automated CI/CD pipelines using Python and Harness.io, reducing manual overhead and increasing deployment success rates across development cycles. Built Python scripts for synthetic monitoring and contributed to incident playbooks, enhancing alerting and root cause analysis for faster incident resolution. Supported deployments to Azure Kubernetes clusters using Helm and Minikube, enabling dynamic, containerized test environments for microservices and improving scalability. Integrated ELK logging pipelines and used Splunk dashboards for microservice monitoring, improving visibility into test result trends and regression detection.
Artificial Intelligence Intern at Verzeo
May 1, 2021 - June 1, 2021Built machine learning pipelines for NLP text classification using Python with RNN and LSTM models, improving accuracy on complex natural language datasets. Developed an image recognition module using Python and pretrained AI models, increasing classification accuracy on real-world datasets. Conducted model training, testing, and evaluation on labeled datasets using Python, improving model performance through iterative tuning and validation.
Education
Master of Applied Computing, Specialization in AI at University of Windsor, Windsor, Ontario
January 11, 2030 - April 1, 2023Bachelor of Engineering in Computer Engineering at Gujarat Technological University, Gujarat, India
January 11, 2030 - May 1, 2021Master of Applied Computing, Specialization in AI at University of Windsor
January 11, 2030 - April 1, 2023Bachelor of Engineering in Computer Engineering at Gujarat Technological University
January 11, 2030 - May 1, 2021Qualifications
Azure Developer
January 11, 2030 - December 11, 2025Industry Experience
Software & Internet, Professional Services, Education
Skills
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