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Akshay Krishna Varma Buddharaju
Junior Machine Learning Engineer specializing in computer vision and generative AI
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About
CoreAI intern at The Home Depot who improved the Magic Apron Assistant by building a production video ingestion + RAG retrieval system for long videos (uploads and YouTube), including a graph-based retrieval module to speed up and improve relevance. Experienced with Kubernetes orchestration (HPA) and production reliability practices like caching, monitoring, regression testing, and stakeholder-driven requirements.
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Key Strengths
- Built and production-tested an LLM/RAG video QA system for long-form video content
- Designed scalable video ingestion with chunking and parallel processing to reduce ingestion time
- Implemented graph-based retrieval to improve relevance and reduce retrieval/response time
- Strong production mindset: handled real-world data inconsistency via preprocessing/normalization/validation
- Reliability-focused evaluation: stage-level validation, end-to-end tests, regression tests, and metrics (recall/latency/task success)
- Kubernetes-based orchestration with autoscaling and service separation to maintain performance under load
- Constraint-driven model/retrieval/prompt selection balancing accuracy, latency, cost, and data sensitivity
- Effective collaboration with non-technical stakeholders; translated response-time and accuracy needs into technical requirements
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Experience
Education
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Publications
1 publication
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