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I’m Vijay Dhavan, an AI/ML Engineer based in Pune with 1+ year of experience building production-ready AI applications. I work with Python and FastAPI to design scalable backend services, train and deploy machine learning and deep learning models, and integrate generative AI and LLM-based solutions for real business use cases. My recent work includes developing enterprise RAG pipelines (vector embeddings, semantic search, and document retrieval) and contributing to AI workflow automation platforms like InsightFlow and InsightCore. I enjoy turning complex AI workflows into dependable APIs, intelligent assistants, and automated systems, using tools and frameworks such as PyTorch, TensorFlow, LangChain, and Hugging Face.…I’m Vijay Dhavan, an AI/ML Engineer based in Pune with 1+ year of experience building production-ready AI applications. I work with Python and FastAPI to design scalable backend services, train and deploy machine learning and deep learning models, and integrate generative AI and LLM-based solutions for real business use cases. My recent work includes developing enterprise RAG pipelines (vector embeddings, semantic search, and document retrieval) and contributing to AI workflow automation platforms like InsightFlow and InsightCore. I enjoy turning complex AI workflows into dependable APIs, intelligent assistants, and automated systems, using tools and frameworks such as PyTorch, TensorFlow, LangChain, and Hugging Face.

Vijay Dhavan

AI Engineer, Data Scientist, AI Developer, +1

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I’m Vijay Dhavan, an AI/ML Engineer based in Pune with 1+ year of experience building production-ready AI applications. I work with Python and FastAPI to design scalable backend services, train and deploy machine learning and deep learning models, and integrate generative AI and LLM-based solutions for real business use cases. My recent work includes developing enterprise RAG pipelines (vector embeddings, semantic search, and document retrieval) and contributing to AI workflow automation platforms like InsightFlow and InsightCore. I enjoy turning complex AI workflows into dependable APIs, intelligent assistants, and automated systems, using tools and frameworks such as PyTorch, TensorFlow, LangChain, and Hugging Face.…I’m Vijay Dhavan, an AI/ML Engineer based in Pune with 1+ year of experience building production-ready AI applications. I work with Python and FastAPI to design scalable backend services, train and deploy machine learning and deep learning models, and integrate generative AI and LLM-based solutions for real business use cases. My recent work includes developing enterprise RAG pipelines (vector embeddings, semantic search, and document retrieval) and contributing to AI workflow automation platforms like InsightFlow and InsightCore. I enjoy turning complex AI workflows into dependable APIs, intelligent assistants, and automated systems, using tools and frameworks such as PyTorch, TensorFlow, LangChain, and Hugging Face.

Available to hire

I’m Vijay Dhavan, an AI/ML Engineer based in Pune with 1+ year of experience building production-ready AI applications. I work with Python and FastAPI to design scalable backend services, train and deploy machine learning and deep learning models, and integrate generative AI and LLM-based solutions for real business use cases.

My recent work includes developing enterprise RAG pipelines (vector embeddings, semantic search, and document retrieval) and contributing to AI workflow automation platforms like InsightFlow and InsightCore. I enjoy turning complex AI workflows into dependable APIs, intelligent assistants, and automated systems, using tools and frameworks such as PyTorch, TensorFlow, LangChain, and Hugging Face.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Language

English

Intermediate

Work Experience

AI/ML Engineer at BlackHole Infiverse Pvt. Ltd.

January 1, 2025 - Present

Built and maintained enterprise AI applications using Python and FastAPI with scalable backend architectures. Designed and implemented Retrieval-Augmented Generation (RAG) pipelines using vector embeddings and semantic search for production document retrieval systems. Developed RESTful APIs and backend services, including authentication modules and role-based access control for AI-powered web applications. Trained, fine-tuned, and deployed machine learning and deep learning models for real-world business scenarios. Integrated generative AI and LLM solutions for enterprise automation and intelligent assistants. Contributed to InsightFlow and InsightCore by implementing AI workflow automation, intelligent data processing, and scalable backend services.