Rishabh Ambwani

Background

About Rishabh Ambwani

Quant Developer | AI Scientist | Algorithmic Trader | Medtech-Signal Processing I’m a Senior AI Scientist and Product Consultant with 7 years of experience at the intersection of data science, business strategy, and product innovation. I specialize in transforming complex data into meaningful, actionable insights and building data-driven products that enhance user experience and generate measurable business value. I design, implement, and deploy scalable machine learning models that address real-world business challenges across the product lifecycle. My work is deeply rooted in cross-functional collaboration—I partner with product managers, engineers, and stakeholders to define product vision, shape roadmaps, and align data initiatives with both user needs and business objectives. With a strong focus on data-driven decision-making, I translate large, complex datasets into strategic insights that inform feature optimization, performance improvement, and go-to-market strategies. I regularly lead A/B testing and experimentation efforts to guide iterative product development and validate new ideas. I’m also hands-on with modern data tools and architecture, building robust data pipelines, dashboards, and infrastructure to support advanced product analytics. By bridging the gap between technical teams and business leadership, I ensure that data is not just analyzed—but applied—with clarity and impact. I’m passionate about using data to drive innovation, scalability, and strategic growth in high-performance, technology-driven environments. Github link: https://github.com/rambwani009/ML-Quant-Products Leads a team of data analysts and ML Engineers, driving research, development, and deployment of AI technologies for new product launches and optimizations of existing solutions. Proficient in Generative AI and Large Language Models (LLMs), guiding research from concept to production-ready solutions. Skilled in AI agent frameworks like LangChain and ML libraries including Scikit-Learn, TensorFlow, PyTorch, Pandas, and Streamlit. Link to my sidehustle - https://opensea.io/collection/cryptosikh Off the work, I am a proficient inline skater and an automobile enthusiast. Reach out if I can be help professionally or if you want to take a few skating lessons -) Cheers!