Bawankule
AI Engineer @ EY | Agentic AI | LLMs, RAG, Fine-tuning | MCP | NLP | Computer Vision | Building Production AI
- Role
- Ai Engineer at EY
- Location
- Pune District, MH, IN
- LinkedIn followers
- 500 followers
About Bawankule
I am an AI Engineer at Ernst & Young, focused on building intelligent systems that help organizations unlock business value through Artificial Intelligence and Machine Learning. My work centers on translating advanced AI capabilities into scalable, enterprise-grade solutions that improve decision-making, automate complex workflows, and support innovation across global business environments.My core expertise lies in Generative AI, Natural Language Processing, and applied machine learning, with hands-on experience designing Retrieval-Augmented Generation (RAG) pipelines, multi-agent architectures, and production-ready AI applications tailored for enterprise use cases. I work across the EY.ai ecosystem and internal platforms such as EYQ to accelerate digital transformation and enable human-centered AI adoption.Key Skills & TechnologiesFrameworks: LangChain, LlamaIndex, PyTorch, TensorFlow, Hugging FaceGenAI & LLMs: OpenAI GPT models, Microsoft Azure OpenAI, Anthropic Claude, Mistral AI models, Cloud & Infrastructure: Amazon Web Services Bedrock, Azure AI, Google Vertex AI, Docker, KubernetesData & MLOps: Vector databases (Pinecone, FAISS, Weaviate), CI/CD, model evaluation, prompt engineeringI am particularly interested in building reliable and responsible AI systems—ensuring solutions are explainable, governed, and aligned with enterprise risk and compliance expectations. I collaborate across technical and business teams to create AI solutions that are not only technically robust, but practical, scalable, and impactful.Always open to connecting with AI practitioners, researchers, and builders exploring the future of enterprise AI
Experience
Ai Engineer
Mar 2026 — Present
Design and develop enterprise-grade AI solutions using Generative AI, Retrieval-Augmented Generation (RAG), and multi-agent orchestration frameworks- Architect intelligent pipelines for document understanding, knowledge retrieval, and workflow automation across enterprise use cases- Focus on responsible AI implementation, model reliability, evaluation, and deployment readiness.
Education
Savitribai Phule Pune University
Bachelor of Technology - BTech
2019 — 2023
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