Yogesh Bathina

About Yogesh Bathina

A technologist turned entrepreneur, I’ve spent over a decade building AI systems, scaling startups, and solving hard problems with technology.I started in medical imaging, using AI to improve diagnostics and treatment. Later, I worked on cutting-edge research in Machine Learning and built prototypes that pushed the limits of what’s possible in healthcare.I’ve founded and scaled businesses, including a trucking marketplace in India that grew to $35M ARR and a Y Combinator-backed fintech startup that deployed $10M in loans in under a year.Now, as Co-Founder of Amotion AI, I help enterprises train their teams to build production-ready AI systems. Our focus is practical—equipping teams to create their own tools, from custom chatbots to automation systems.I believe great teams and the right tools can solve almost anything. Outside work, I enjoy mentoring and staying curious about what’s next in AI.

Experience

1. Founder

   Amotion AI

   Jul 2023 — Present · Dubai, AE

   At Amotion AI, we specialize in transforming enterprise tech teams into experts capable of building and deploying production-grade AI systems. Our focus is on empowering teams to own their AI journey—creating tools and platforms that are scalable, efficient, and fully customized to their needs.What We DoWe run hands-on, intensive training programs that guide teams through the process of building AI applications from the ground up. In just a few weeks, your team will gain the technical skills to- Fine-tune and deploy large language models (LLMs) for specific business use cases- Implement retrieval-augmented generation (RAG) for contextual and grounded AI responses- Design and manage vector databases (e.g, Pinecone, FAISS) for fast, accurate data retrieval- Build and optimize applications such as custom chatbots, document extraction tools, and semantic search systems.Our approach is 90% practical and designed to take your team beyond POCs to fully functional, production-ready systems.The Technical EdgeWe focus on key technical areas to ensure teams are ready to deliver results:Data Preparation and ManagementTeach your team to clean, structure, and vectorize data using tools like Apache Beam, Pandas, and Hugging Face embeddings. We ensure your data pipeline is optimized for AI workflows.Model Fine-Tuning and OptimizationWe guide teams through selecting and fine-tuning open-source LLMs (e.g, Llama or Mistral) tailored to your domain. Using frameworks like PyTorch and Hugging Face Transformers, teams learn to build models that are accurate and efficient.Compliance and GuardrailsFor legally sensitive or regulated industries, we emphasize the implementation of compliance-focused workflows using prompt engineering, sentiment analysis (e.g, BERT), and real-time guardrails.Deployment and MonitoringTeams gain experience with Docker and Kubernetes for scalable deployments, along with performance monitoring and continuous model improvement

Education

• International Institute of Information Technology Hyderabad (IIITH)

  M.S by Research, , Computer Science

  2008 — 2013

Skills

• System Analyst
• Clinical Research Experience
• Deep Learning
• Image Processing
• Computer Vision
• R&D
• Medical Imaging
• Machine Learning
• Business Development
• Research and Development (R&D)