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Vamsidhar Vuddagiri

Mid-level AI/ML Engineer specializing in LLM fine-tuning, RAG, and MLOps

OH, USAAI/ML Engineer4 years experienceMid-LevelArtificial IntelligenceCybersecurityTelecommunications
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About

Built an LLM-powered academic research assistant for a professor (LangChain + OpenAI + arXiv) focused on synthesizing papers quickly, with emphasis on reliability (ReAct prompting, citation verification) and cost control (caching). Has production MLOps/orchestration experience at Cisco and HCL Tech using Kubernetes, plus MLflow and GitHub Actions for lifecycle management and CI/CD.

Experience

AI/ML EngineerImpacterAI
AI/ML EngineerCisco Systems
ML EngineerHCLTech

Education

University of Daytonmaster, Computer Science (2025)
SRM Universitybachelor, Electronics and Communication Engineer (2023)

Key Strengths

  • Built and deployed an LLM-based academic research assistant (Agent AI) using LangChain + OpenAI + arXiv
  • Reliability engineering for LLM apps: structured ReAct prompts, error handling, retries/fallback paths
  • Hallucination mitigation via citation verification / fact-check mechanisms
  • Cost optimization for LLM systems through intelligent caching and call minimization
  • Production orchestration experience with Kubernetes for scalable, lower-latency AI inference
  • Operationalized model monitoring and retraining workflows on Kubernetes to reduce model drift
  • Strong testing discipline for agents (unit, integration, adversarial) with quantitative and qualitative evaluation
  • Experience collaborating with non-technical stakeholders to iterate on usability and requirements

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Languages

English

Skills

Machine LearningSupervised LearningUnsupervised LearningTransformer ModelsSmall Language Models (SLMs)Text ClassificationFeature EngineeringModel EvaluationError AnalysisLLM EvaluationGenerative AILoRA Fine-TuningQLoRA Fine-TuningPrompt EngineeringPrompt Testing