Sohail Khan
Lead Machine Learning Engineer @HSBC
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WORK HISTORY
Lead Machine Learning Engineer @HSBC
Lead a cross-functional team of over 20 engineers to design, build, and deploy to production, a retrieval augmented digital chat agent, adopted as a group standard and achieving operational efficiency gains of up to 50% across the organisation.∙ Responsible for the development of REST APIs to expose generative AI capabilities safely and responsibly, to over 30 lines of business at HSBC, built using a microservices architecture in Python with FastAPI.∙ Design, build and deliver fast, responsive and accessible web applications using the React framework in JavaScript, to surface AI products to several thousand active users.∙ Oversee the development and maintenance of a suite of machine learning models that output signals to front-line staff, indicating growth opportunities for their clients, accounting for over $100m of revenue per year.∙ Manage the team by allocating tasks using Jira, mentoring junior developers and conducting code reviews.
EDUCATION
Batley Grammar School
Mathematics, Further Mathematics, Physics, Chemistry
University of Bath
Master of Engineering (MEng), Mechanical Engineering
SKILLS
ABOUT SOHAIL KHAN
Hello! I am a Lead Machine Learning Engineer at HSBC within the Office of Applied AI, where I design, build, and deploy innovative AI products that address business challenges and enhance customer experience. My current focus is on developing tools that integrate generative AI to boost productivity and streamline business processes.I have extensive experience in building and deploying machine learning models that deliver measurable business value. I specialise in creating scalable APIs using Python and FastAPI, ensuring that our AI capabilities are accessible across the organisation. My technical expertise also includes traditional machine learning libraries such as Scikit-Learn and TensorFlow.In addition to backend development, I have a strong passion for frontend development. I take pride in crafting intuitive and visually appealing user interfaces, striving for pixel perfection and carefully considering UI/UX design. My preferred frontend stack includes React with libraries like React Router, React Query, and Redux.Overall, I consider myself a full-stack developer with a particular interest in building AI-driven products.
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