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AI/ML Engineer with 5+ years of experience designing and deploying scalable large language model (LLM) solutions using Azure OpenAI, LangChain, and Retrieval-Augmented Generation (RAG). Proven track record in building robust AI pipelines, optimizing prompt engineering, and integrating multi-modal AI systems to boost operational efficiency, reduce costs, and enhance customer engagement. Skilled in MLOps, cloud-native deployments (AWS, GCP), and advanced data engineering, with strong expertise in delivering measurable business impact through innovative AI applications.…AI/ML Engineer with 5+ years of experience designing and deploying scalable large language model (LLM) solutions using Azure OpenAI, LangChain, and Retrieval-Augmented Generation (RAG). Proven track record in building robust AI pipelines, optimizing prompt engineering, and integrating multi-modal AI systems to boost operational efficiency, reduce costs, and enhance customer engagement. Skilled in MLOps, cloud-native deployments (AWS, GCP), and advanced data engineering, with strong expertise in delivering measurable business impact through innovative AI applications.

Sudarshan Ryali

AI Engineer, Data Scientist, AI Prompt Engineer, +2

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AI/ML Engineer with 5+ years of experience designing and deploying scalable large language model (LLM) solutions using Azure OpenAI, LangChain, and Retrieval-Augmented Generation (RAG). Proven track record in building robust AI pipelines, optimizing prompt engineering, and integrating multi-modal AI systems to boost operational efficiency, reduce costs, and enhance customer engagement. Skilled in MLOps, cloud-native deployments (AWS, GCP), and advanced data engineering, with strong expertise in delivering measurable business impact through innovative AI applications.…AI/ML Engineer with 5+ years of experience designing and deploying scalable large language model (LLM) solutions using Azure OpenAI, LangChain, and Retrieval-Augmented Generation (RAG). Proven track record in building robust AI pipelines, optimizing prompt engineering, and integrating multi-modal AI systems to boost operational efficiency, reduce costs, and enhance customer engagement. Skilled in MLOps, cloud-native deployments (AWS, GCP), and advanced data engineering, with strong expertise in delivering measurable business impact through innovative AI applications.

Available to hire

AI/ML Engineer with 5+ years of experience designing and deploying scalable large language model (LLM) solutions using Azure OpenAI, LangChain, and
Retrieval-Augmented Generation (RAG). Proven track record in building robust AI pipelines, optimizing prompt engineering, and integrating multi-modal
AI systems to boost operational efficiency, reduce costs, and enhance customer engagement. Skilled in MLOps, cloud-native deployments (AWS, GCP), and
advanced data engineering, with strong expertise in delivering measurable business impact through innovative AI applications.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Work Experience

GenAI Engineer at Doublene

June 1, 2023 - October 28, 2025

Led design and deployment of scalable generative AI APIs using Azure OpenAI and LangChain, driving a 50% increase in cross-department adoption; implemented advanced data augmentation boosting language understanding by 22%; built contextual AI-driven assistants; automated monitoring and anomaly detection for model outputs; collaborated with UX to optimize AI-driven conversational flows; integrated multi-modal AI (text, image, speech); conducted security and compliance audits reducing risk exposure by 45%.

AI/ML Engineer at Techecy

December 1, 2021 - December 1, 2021

Designed custom feature extraction methods from IoT sensor data; migrated legacy ML workflows to containerized microservices; prototyped LLM-based querying and contextual insights; developed interpretable AI models with explainability tools; built interactive dashboards for real-time production metrics; piloted AI-driven supply chain scheduling optimization; authored technical documentation and ML best-practice workshops.