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Akshay Krishna Varma Buddharaju

Junior Machine Learning Engineer specializing in computer vision and generative AI

Graduate Research Assistant1 years experienceJuniorArtificial IntelligenceCybersecurityEducation
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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.

Experience

Graduate Research AssistantKennesaw State University
Software Engineer Intern - CoreAIThe Home Depot Inc.
Machine Learning Engineer InternVidhi Labs
Software Engineer InternINV Technologies

Education

Kennesaw State Universitymaster, Computer Science (2025)
GMR Institute of Technologybachelor, Computer Science (2024)

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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Languages

English

Skills

API OptimizationAutomated TestingAWSAzureBERTCC++CI/CDComputer VisionData ScienceDeep LearningDeepLabV3+DockerEnsemblingFlask