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I am an AI Engineer who enjoys turning complex problems into scalable, production-ready solutions. I have 2 years of hands-on experience delivering Azure-based Generative AI systems, RAG pipelines, and robust backend workflows. I focus on cost-efficient, reliable AI deployments and thrive in cross-functional teams to ship impactful features. I am passionate about building end-to-end AI solutions, from data prep and embeddings to retrieval optimization and safe, eval-driven deployment. I love collaborating with stakeholders to translate requirements into maintainable architectures and measurable business value.…I am an AI Engineer who enjoys turning complex problems into scalable, production-ready solutions. I have 2 years of hands-on experience delivering Azure-based Generative AI systems, RAG pipelines, and robust backend workflows. I focus on cost-efficient, reliable AI deployments and thrive in cross-functional teams to ship impactful features. I am passionate about building end-to-end AI solutions, from data prep and embeddings to retrieval optimization and safe, eval-driven deployment. I love collaborating with stakeholders to translate requirements into maintainable architectures and measurable business value.

ANUBHAV CHOUDHARY

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I am an AI Engineer who enjoys turning complex problems into scalable, production-ready solutions. I have 2 years of hands-on experience delivering Azure-based Generative AI systems, RAG pipelines, and robust backend workflows. I focus on cost-efficient, reliable AI deployments and thrive in cross-functional teams to ship impactful features. I am passionate about building end-to-end AI solutions, from data prep and embeddings to retrieval optimization and safe, eval-driven deployment. I love collaborating with stakeholders to translate requirements into maintainable architectures and measurable business value.…I am an AI Engineer who enjoys turning complex problems into scalable, production-ready solutions. I have 2 years of hands-on experience delivering Azure-based Generative AI systems, RAG pipelines, and robust backend workflows. I focus on cost-efficient, reliable AI deployments and thrive in cross-functional teams to ship impactful features. I am passionate about building end-to-end AI solutions, from data prep and embeddings to retrieval optimization and safe, eval-driven deployment. I love collaborating with stakeholders to translate requirements into maintainable architectures and measurable business value.

Available to hire

I am an AI Engineer who enjoys turning complex problems into scalable, production-ready solutions. I have 2 years of hands-on experience delivering Azure-based Generative AI systems, RAG pipelines, and robust backend workflows. I focus on cost-efficient, reliable AI deployments and thrive in cross-functional teams to ship impactful features.

I am passionate about building end-to-end AI solutions, from data prep and embeddings to retrieval optimization and safe, eval-driven deployment. I love collaborating with stakeholders to translate requirements into maintainable architectures and measurable business value.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Language

English

Advanced

Hindi

Fluent

Work Experience

Generative AI engineer at Tata consultancy services

December 14, 2023 - Present

AI Engineer at Tata Consultancy Services (TCS)

December 1, 2023 - Present

Develop AI solutions for Nordic airline, enhancing operations and user experience. Build chatbots using Python, Langchain, and GPT models to improve customer service efficiency. Deploy end-to-end solutions on Azure using CI/CD pipelines for streamlined processes. Explore generative AI concepts, contributing to innovative advancements in the field. Manage diverse business areas, delivering measurable improvements in cost and efficiency.

AI Engineer at Tata Consultancy Services (TCS)

December 1, 2023 - November 28, 2025

Built enterprise RAG Assistant for Nordic airline using Python, LangChain, Azure OpenAI with semantic chunking, reranking, and embedding tuning. Automated ingestion pipelines using GraphQL + Azure CI/CD; improved retrieval quality with ranking+ optimized chunking strategies. Designed async workflows using Celery + Azure Service Bus; built Azure Batch pipelines reducing heavy inference cost significantly. Developed Streamlit tools & FastAPI microservices with RBAC, caching, and scalable inference layers. Integrated Azure Content Safety + LLM evaluators for hallucination, grounding, toxicity, and riskscoring. Improved internal operational efficiency by reducing manual query time by 30 – 50% and automating doc-quiz workflows (~60% cost savings).