Vaibhav Bhatnagar — Machine Learning Engineer

As an aspiring Machine Learning Engineer and Data Scientist finishing my M.Tech at IIT Bombay, I specialize in Deep Learning, Computer Vision, and Generative AI. I specialize in translating cutting-edge research into robust, production-ready AI systems that scale across real-world constraints. My experience spans building end-to-end deep learning pipelines for high-impact applications, particularly in medical imaging and healthcare AI, where I’ve developed models for segmentation, classification, and clinical decision support using CNNs, Transformers, and hybrid architectures. I’ve worked extensively on domain generalization, self-supervised learning, and uncertainty-aware AI, ensuring models perform reliably across diverse datasets and deployment environments. Alongside vision systems, I actively work with Generative AI and LLMs, including RAG pipelines, CLIP, prompt learning, and multimodal models, applying them to practical use cases such as intelligent search, analytics, and developer-facing tools. I enjoy building scalable ML systems using PyTorch, Python, SQL, FastAPI, Docker, and cloud-ready workflows. I’m passionate about solving complex problems with data, staying close to the latest AI research, and collaborating with cross-functional teams to deliver measurable business and product impact. Always open to connecting with professionals building the next generation of AI-powered products.

Stackforce AI infers this person is a Healthcare AI Specialist with expertise in Deep Learning and Computer Vision.

Location: Mumbai, Maharashtra, India

Experience: 2 yrs 10 mos