Responsibilities
• Collaborate with cross-functional teams to gather requirements, design solutions, and implement data pipelines.
• Work with data scientists to analyze data sets, identify patterns, and develop predictive models.
• Deploy machine learning models to production environments using containerization technologies like Docker and Kubernetes.
• Conduct exploratory data analysis (EDA) on influencer data to gain insights and address data consistency issues.
• Design and develop microservices using the FastAPI/Flask framework in Python and Java.
• Present microservice designs to the Review Board and ensure they meet functional requirements.
• Deploy microservices in Kubernetes clusters and monitor their execution using Grafana dashboards.
• Perform stress testing on microservice architectures using Locust to ensure they meet performance requirements.
• Maintain search capabilities, including full-text and contextual search, and provide backend on-call support.
• Participate in peer review processes to ensure high-quality code and provide constructive feedback.
Accomplishments
• Linqia Gen AI hackathon 2023 winner -- Developed a microservice that streamlines the process of generating content for influencer marketing campaigns.
