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Hi, I'm Hari Chandana, an AI/ML Engineer with over 5 years of experience specializing in Generative AI, LLMs, and document intelligence. I enjoy designing and deploying smart AI solutions, working extensively with cloud platforms like AWS and Azure, and optimizing AI workflows for performance and scalability. I'm passionate about leveraging cutting-edge AI technologies to solve real-world problems, such as automating document processing and building intelligent chatbots. Outside work, I love exploring new advancements in AI and collaborating with teams to bring innovative ideas to life.…Hi, I'm Hari Chandana, an AI/ML Engineer with over 5 years of experience specializing in Generative AI, LLMs, and document intelligence. I enjoy designing and deploying smart AI solutions, working extensively with cloud platforms like AWS and Azure, and optimizing AI workflows for performance and scalability. I'm passionate about leveraging cutting-edge AI technologies to solve real-world problems, such as automating document processing and building intelligent chatbots. Outside work, I love exploring new advancements in AI and collaborating with teams to bring innovative ideas to life.

Hari Chandana

AI Engineer, AI Developer, AI Prompt Engineer, +2

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Hi, I'm Hari Chandana, an AI/ML Engineer with over 5 years of experience specializing in Generative AI, LLMs, and document intelligence. I enjoy designing and deploying smart AI solutions, working extensively with cloud platforms like AWS and Azure, and optimizing AI workflows for performance and scalability. I'm passionate about leveraging cutting-edge AI technologies to solve real-world problems, such as automating document processing and building intelligent chatbots. Outside work, I love exploring new advancements in AI and collaborating with teams to bring innovative ideas to life.…Hi, I'm Hari Chandana, an AI/ML Engineer with over 5 years of experience specializing in Generative AI, LLMs, and document intelligence. I enjoy designing and deploying smart AI solutions, working extensively with cloud platforms like AWS and Azure, and optimizing AI workflows for performance and scalability. I'm passionate about leveraging cutting-edge AI technologies to solve real-world problems, such as automating document processing and building intelligent chatbots. Outside work, I love exploring new advancements in AI and collaborating with teams to bring innovative ideas to life.

Available to hire

Hi, I’m Hari Chandana, an AI/ML Engineer with over 5 years of experience specializing in Generative AI, LLMs, and document intelligence. I enjoy designing and deploying smart AI solutions, working extensively with cloud platforms like AWS and Azure, and optimizing AI workflows for performance and scalability.

I’m passionate about leveraging cutting-edge AI technologies to solve real-world problems, such as automating document processing and building intelligent chatbots. Outside work, I love exploring new advancements in AI and collaborating with teams to bring innovative ideas to life.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Language

English

Fluent

Work Experience

Generative AI Engineer at LOWES

July 1, 2022 - Present

Implemented automated extraction of key invoice fields using LLMs, improving accuracy by 95%. Developed intelligent document classification to automate invoice routing and reduce manual triage by 60%. Designed prompt engineering strategies and LangChain-based workflows for complex JSON handling. Utilized transformers and word embeddings for text classification and entity recognition. Applied MLOps tools such as MLflow, Kubeflow, and Apache Airflow for model versioning and pipeline automation. Leveraged Azure Language Studio and Form Recognizer for scalable structured document data extraction.

Machine Learning Engineer at Accenture

May 31, 2022 - July 31, 2025

Designed and deployed AI copilots using Azure Cognitive Services and AWS Comprehend Medical for large-scale EHR data processing with HIPAA compliance, improving clinical documentation by 30%. Developed deep learning models with PyTorch and TensorFlow achieving 95% classification accuracy. Containerized ML services with Docker and deployed on Kubernetes for scalability. Deployed Java microservices adhering to HL7 and FHIR standards to enhance EHR interoperability. Fine-tuned BioBERT and ClinicalBERT for domain-specific EHR summarization and clinical intent detection, boosting accuracy by 25%. Managed Jenkins CI/CD pipelines to automate builds and deployments, reducing manual operational efforts.