Akhil B.

About Akhil B.

Senior Generative AI / Machine Learning Engineer with 5+years of experience delivering…

Experience

1. Generative Ai Engineer

   Macy's

   Dec 2024 — Present · Brooklyn Park, MN, US

   Developed generative AI chatbots using Azure OpenAI and Hugging Face to automate HR, IT, and policy queries with multi-turn handling, reducing support response time by over 60%.• Built summarization pipelines using BART and T5 to compress training materials and documentation, accelerating onboarding and improving readability of internal knowledge assets, demonstrating proficiency in debugging. • Deployed semantic search systems using OpenAI embeddings and FAISS for operational manuals and compliance lookups via Streamlit dashboards integrated with internal APIs, showcasing strong system performance knowledge.• Automated ticket triaging and routing with Azure AI Functions, Logic Apps, and database integrations, building intelligent automation workflows and destructive testing scripts that reduced manual handling of low-priority tickets and ensured compliance with AI governance standards.• Designed entity-aware zero-shot prompts and fine-tuned BERT models to extract structured data such as SKUs and product metadata from vendor documents, demonstrating best software engineering practices.• Transitioned chatbot architecture to LangChain-based RAG for improved grounding, coherence, and factuality in multi-turn enterprise responses, showcasing strong understanding of parallel computing principles.• Implemented a prompt evaluation framework using MLflow to track BLEU, ROUGE, and qualitative metrics, guiding iterative LLM tuning and production updates, optimizing system-level performance across multiple generations of hardware.• Created sentiment analysis pipelines using OpenAI and visualized trends in Power BI, enabling proactive HR strategies through feedback scoring dashboards, showcasing experience with hardware-specific optimizations.• Built containerized FastAPI services for LLM prompt delivery, deployed on Azure Container Apps with integrated monitoring via Application Insights and API integrations.•