Shubhankit Sirvaiya
Lead Ai Engineer @Fidelity International
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WORK HISTORY
Lead Ai Engineer @Fidelity International
Gurugram, IN
Fidelity International (via Publicis Sapient) • Working as a Lead AI Engineer in Fidelity’s Compliance and Model Risk functions, building AI systems aligned with regulatory, audit, and enterprise risk standards • Designing and owning end-to-end AI/LLM architectures for model risk assessment, compliance automation, and rule extraction across AI and non-AI models • Building enterprise-grade, audit-ready AI systems using RAG, evaluation frameworks, and controlled prompting for regulated financial environments • Partnering with Model Risk, Compliance, and Business stakeholders to translate regulatory requirements into scalable, production-ready AI solutions
EDUCATION
Malaviya National Institute of Technology Jaipur
Bachelor of Technology - BTech, metallurgy and material science
ABOUT SHUBHANKIT SIRVAIYA
As a Machine Learning Engineer at World Wide Technology, I design and implement AI solutions that empower businesses to optimize their performance and achieve their goals. I have over 5 years of experience in Data Science, Business Intelligence, and Consulting, where I have applied my skills and expertise in various domains such as telecom, automobile, and energy.One of my recent projects involved deploying a flexible and hybrid end-to-end MLOPs framework using Azure Databrick, Azure Data Factory, Azure Functions, and CI/CD pipelines to predict the labor hours required for vehicle servicing. This solution enabled the client to reduce operational costs, improve customer satisfaction, and increase efficiency. I am passionate about contributing to the AI revolution that is transforming the way businesses operate, and I am always eager to learn new technologies and techniques that can enhance my capabilities and impact. I have completed multiple certifications and courses in Data Science, such as the Machine Learning Specialization by deeplearning.ai, the SQL fundamentals by SoloLearn, and the Excel for business essential by Coursera. I have also achieved the Kaggle notebook expert status and the top data mining voice 2024 recognition on LinkedIn.I enjoy sharing my work and insights on various platforms, such as Kaggle, GitHub, Medium, and Twitter, where I connect with a vibrant community of data enthusiasts. I am enthusiastic about new projects and opportunities that allow me to leverage my skills and expertise and work alongside teams that are making an impact in the industry. Please feel free to reach out to me for any queries or collaboration opportunities.
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