Priyangshu Pal

Software Engineer

United States3 yrs 2 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in building scalable machine learning systems.
Proven track record in enhancing customer satisfaction through technology.
Skilled in developing multi-platform applications using modern frameworks.

Stackforce AI infers this person is a SaaS-focused Software Engineer with strong expertise in machine learning and cloud technologies.

Contact

priyangshupal@gmail.com LinkedIn

Skills

Core Skills

Software DevelopmentMachine LearningKubernetesTest AutomationObservability Dashboards

Other Skills

AWS LambdaAdobe XdAlgorithm DesignAlgorithmsAmazon DynamodbAmazon S3Amazon SQSAmazon Web Services (AWS)AndroidAndroid DevelopmentAndroid SDKAndroid StudioAndroid TestingApache SparkBack-End Web Development

About

I've always been a great problem solver and a technophile obsessed with the latest technologies. I like building stuff that solve complex engineering challenges. I'm also eager to meet other people in the area, so feel free to connect!

Experience

Walmart global tech

2 roles

Software Engineer

Jul 2021 – Jul 2023 · 2 yrs · Bengaluru, Karnataka, India

1. Engineered solutions to improve package tracking consistency with carriers (like FedEx, UPS, etc.) which improved our delivery communications SLA.
2. Upgraded self-serve flows in chatbots that brought down agent transfer rates by 60% in Mexico and 70% in Canada and increased customer satisfaction by 30%.
3. Developed the "Issue with Order" flow, reducing customer contacts on order issues by 80% (awarded the Bravo Award).
4. Containerized and deployed a multi-tenant orchestration platform for customer-care chatbots to Walmart's native cloud using Kubernetes.
5. Developed a React frontend with server-side rendering for use across Web, Android, and iOS platforms.

Software DevelopmentKubernetesReact.jsChatbot Development

Software Engineer Intern

Jan 2021 – Jun 2021 · 5 mos · Bengaluru, Karnataka, India

1. Built a test automation framework from scratch for three chatbot middleware applications.
2. Attained over 90% of code coverage through the framework, enforcing fewer errors and standardizing coding practices throughout
the project.
3. Set up observability dashboards using Splunk and Grafana to identify trends and send alerts during anomalies.

Test AutomationObservability Dashboards