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Hi, I’m Chandana Mukharji — a Data Scientist and AI/ML Engineer with 6+ years of experience delivering AI-powered solutions across banking, healthcare, and eCommerce. I specialize in Generative AI, ML pipelines, and integrating AI capabilities into software. I work with Python, TensorFlow, PyTorch, Hugging Face, and OpenAI GPT APIs to build scalable AI applications on Vertex AI, AWS SageMaker, and Azure ML, with a focus on RAG, fine-tuning foundation models, and agentic workflows. I thrive in cross-functional, agile environments, bridging the gap between business goals and technical execution. I enjoy creating reusable GenAI components, conducting executive briefings, and guiding AI adoption across large enterprise platforms. I am passionate about AI-powered automation and delivering measurable outcomes such as improved decisioning, efficiency, and governance.…Hi, I’m Chandana Mukharji — a Data Scientist and AI/ML Engineer with 6+ years of experience delivering AI-powered solutions across banking, healthcare, and eCommerce. I specialize in Generative AI, ML pipelines, and integrating AI capabilities into software. I work with Python, TensorFlow, PyTorch, Hugging Face, and OpenAI GPT APIs to build scalable AI applications on Vertex AI, AWS SageMaker, and Azure ML, with a focus on RAG, fine-tuning foundation models, and agentic workflows. I thrive in cross-functional, agile environments, bridging the gap between business goals and technical execution. I enjoy creating reusable GenAI components, conducting executive briefings, and guiding AI adoption across large enterprise platforms. I am passionate about AI-powered automation and delivering measurable outcomes such as improved decisioning, efficiency, and governance.

Chandana Pamba

Data Scientist, AI Engineer, AI Developer, +2

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Hi, I’m Chandana Mukharji — a Data Scientist and AI/ML Engineer with 6+ years of experience delivering AI-powered solutions across banking, healthcare, and eCommerce. I specialize in Generative AI, ML pipelines, and integrating AI capabilities into software. I work with Python, TensorFlow, PyTorch, Hugging Face, and OpenAI GPT APIs to build scalable AI applications on Vertex AI, AWS SageMaker, and Azure ML, with a focus on RAG, fine-tuning foundation models, and agentic workflows. I thrive in cross-functional, agile environments, bridging the gap between business goals and technical execution. I enjoy creating reusable GenAI components, conducting executive briefings, and guiding AI adoption across large enterprise platforms. I am passionate about AI-powered automation and delivering measurable outcomes such as improved decisioning, efficiency, and governance.…Hi, I’m Chandana Mukharji — a Data Scientist and AI/ML Engineer with 6+ years of experience delivering AI-powered solutions across banking, healthcare, and eCommerce. I specialize in Generative AI, ML pipelines, and integrating AI capabilities into software. I work with Python, TensorFlow, PyTorch, Hugging Face, and OpenAI GPT APIs to build scalable AI applications on Vertex AI, AWS SageMaker, and Azure ML, with a focus on RAG, fine-tuning foundation models, and agentic workflows. I thrive in cross-functional, agile environments, bridging the gap between business goals and technical execution. I enjoy creating reusable GenAI components, conducting executive briefings, and guiding AI adoption across large enterprise platforms. I am passionate about AI-powered automation and delivering measurable outcomes such as improved decisioning, efficiency, and governance.

Available to hire

Hi, I’m Chandana Mukharji — a Data Scientist and AI/ML Engineer with 6+ years of experience delivering AI-powered solutions across banking, healthcare, and eCommerce. I specialize in Generative AI, ML pipelines, and integrating AI capabilities into software. I work with Python, TensorFlow, PyTorch, Hugging Face, and OpenAI GPT APIs to build scalable AI applications on Vertex AI, AWS SageMaker, and Azure ML, with a focus on RAG, fine-tuning foundation models, and agentic workflows.

I thrive in cross-functional, agile environments, bridging the gap between business goals and technical execution. I enjoy creating reusable GenAI components, conducting executive briefings, and guiding AI adoption across large enterprise platforms. I am passionate about AI-powered automation and delivering measurable outcomes such as improved decisioning, efficiency, and governance.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Work Experience

GenAI/ML Engineer at Huntington Bank

June 1, 2024 - Present

Integrated Development Environment AI tools (GitHub Copilot, ChatGPT, Cursor) to accelerate the SDLC; integrated APIs and vector search into enterprise platforms for GenAI search, personalization, and decision support; deployed scalable GenAI workloads on Vertex AI, Azure ML Studio, and AWS SageMaker; partnered with cross-functional teams to deploy, monitor, and improve GenAI solutions; built GenAI assistants using LangChain and Azure OpenAI to automatically generate SQL, summarize datasets, and document ETL logic; implemented SRE practices including SLOs/SLIs/SLAs and AI-driven auto-remediation; developed real-time LLM inference pipelines; built web-based AI navigation platform and AI-driven secure search; created multi-agent systems with LangGraph and AutoGen; engineered hybrid semantic search pipelines with Hugging Face embeddings, Pinecone, and Weaviate; advised business leaders on AI capabilities and created implementation roadmaps; prototyped agent orchestration workflows with La

AI/ML Engineer at HealthSouth

November 1, 2023 - May 1, 2024

Collaborated with teams to integrate AI models into existing applications, enhancing features and user experiences; applied Generative AI for clinical note summarization and automated medical documentation; designed AI, data mining, and predictive models for real-time fraud detection; built retrieval-augmented generation pipelines using LangChain; created NLP enhancements for fintech use cases; developed RAG-based document retrieval and summarization; built NER and text classification models for HR documents; implemented chatbots and cognitive assistants; deployed models in Azure ML and Vertex AI; established structured/unstructured data pipelines in Azure SQL and Blob Storage; containerized apps with Docker and orchestrated via Kubernetes; built dashboards and integrated outputs into HR portals.

Data Analyst at Deloitte

June 1, 2018 - December 1, 2021

Analyzed data duplicates and errors, gathered data migration requirements, and produced monthly data reports; performed data profiling and developed logical/physical data models using Erwin; conducted data mapping and clean-up, enabling smooth transition from legacy to new systems; wrote PL/SQL packages for application security and batch processing; created reconciliation reports validating migrated data; contributed to SDLC and agile project planning; collaborated with business users to answer complex questions with data.