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🚀 I architect and deploy production-grade LLM agent systems with full ownership across orchestration, retrieval, infrastructure, and monitoring
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🧠 I build scalable multi-agent workflows using Claude Agent SDK, OpenAI Agent SDK, and LangGraph
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🔎 I design high-performance RAG pipelines using Qdrant, OpenSearch, and optimized embedding + chunking strategies
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☁️ I engineer AWS-native AI infrastructure using Lambda, SQS, Glue, DynamoDB, Redshift, EMR, Athena, and Bedrock
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📊 I focus on observability, structured logging, cost optimization, and failure handling for reliable AI systems
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🛠️ Strong background in Deep Learning, Computer Vision, and real-time ML systems (Face Recognition, ANPR, Detection pipelines)
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⚙️ Experienced in PyTorch, FastAPI, distributed systems, vector databases, and production API design
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🌱 Currently advancing AI Agent architecture, MCP server applications, and scalable orchestration patterns
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🤝 Open to collaborating on advanced AI agent systems, retrieval infrastructure, and real-world GenAI applications
🎯
Focusing
Transforming ideas into intelligent solutions
Let's shape the future together with AI💡✨
- Gujarat , India
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20:29
(UTC +05:30) - https://orcid.org/0009-0009-4836-937X
- @parthpatel625
- in/parth-patel-6026b7165
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medical-advice-streamlit
medical-advice-streamlit PublicA Symptom Checker and Medical Advisory App
Python
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openai-prompt-techniques
openai-prompt-techniques PublicPrompt Engineering Tutorial
Jupyter Notebook
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