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Akshitha Singireddy
Junior Software Engineer specializing in data engineering and computer vision
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About
Former Amazon intern who owned an end-to-end computer vision system to detect package anomalies in fulfillment centers, from data collection/labeling to production deployment on AWS (EC2/S3) with a Streamlit live-monitoring dashboard. Also has ML-in-production experience deploying and updating a recommendation model on Kubernetes (Minikube) with CI/CD via GitHub Actions, plus prior SDE experience with Jenkins-based pipelines and on-prem to AWS migration work using Glue.
Experience
Education
Key Strengths
- End-to-end ownership of a production computer-vision anomaly detection system (data collection/labeling through deployment)
- Applied Python multithreading/OOP to run detection across 3 camera feeds
- Hands-on AWS implementation using EC2 for video processing and S3 for storage/data retrieval
- Built a Streamlit dashboard for live anomaly counts pulling data from S3
- Kubernetes hands-on deployment of an ML recommendation model with scheduled retraining using Kafka-fed data (Minikube)
- CI/CD experience across GitHub Actions and Jenkins
- Contributed to on-prem to AWS migration by rebuilding parallel data pipelines and creating Glue tables
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