Sagar Kandpal
Manager Innovation @HSBC
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WORK HISTORY
Manager Innovation @HSBC
Bengaluru, IN
FCS AI Innovation | HSBCFraud, Collections & Underwriting OperationsContributing to AI-led automation initiatives across Fraud, Collections and Underwriting operations to enhance investigation efficiency, reduce turnaround time, and optimise operational capacity.Key Contributions:* Automated Fraud Investigation Management (FIM) report preparation using Generative AI by consolidating customer repository logs, historical fraud linkages, digital activity trails, and transaction data into structured investigation reports.Significantly reduced manual documentation effort, improved reporting consistency, and enabled meaningful FTE optimisation.* Designed and implemented an end-to-end summarisation pipeline for Payment Fraud calls, covering:1) Speech-to-Text (STT) transcription of customer interaction calls2) Automated call summarisation to generate structured investigation-ready outputsReduced manual call review effort for agents, accelerated case handling, and improved operational efficiency.* Contributing to OiB (Originations in the Box) underwriting automation initiative by building intelligent document classification, data extraction, and document fraud detection workflows to streamline approval processes and reduce manual verification effort.Collaborating with Risk, Underwriting, and Technology stakeholders to translate operational requirements into scalable AI-driven solutions.
EDUCATION
National Institute of Technology Warangal
Master of Technology - MTech, Computer Integrated Manufacturing
Lucknow Public School, Lucknow
High School and Intermediate, Science, Mathematics and Computer Applications
Dr. A.P.J. Abdul Kalam Technical University
Bachelor of Technology - BTech, Mechanical Engineering
ABOUT SAGAR KANDPAL
Sagar Kandpal holds a Bachelor\'s and Master’s degree in Mechanical Engineering with a specialization in Computer Integrated Manufacturing from NIT Warangal. His passion lies at the intersection of engineering, AI, and system optimization—translating cutting-edge research into impactful, real-world solutions.He specializes in designing and deploying scalable, secure, and cost-effective AI/ML systems with end-to-end ownership—covering model development, MLOps pipelines, cloud orchestration, and real-time inference. He is currently focused on Generative AI applications, integrating large language models (LLMs) from platforms such as Azure Databricks and the Azure Marketplace into production-ready environments.Research & Technical Interests:* Mathematical Modelling and Optimization.* Predictive Modeling, Digital Twins, and Simulation.* Deep Reinforcement Learning & Geometric Deep Learning.* Generative AI & LLM Applications: Fine-tuning, Prompt Engineering, Retrieval-Augmented Generation (RAG).*Agentic AI Architectures: Task planning, multi-agent orchestration, autonomous workflows.*Full-Stack ML System Design: CI/CD, FastAPI, MLflow.*Cloud-Native Gen AI Deployment using Azure Databricks Marketplace LLMs, focusing on cost optimization, performance monitoring, and inference efficiency.*Security in ML Systems: Data Governance, Access Control, Model Risk & Compliance.Sagar is also deeply fascinated by the natural sciences—regularly exploring Black Hole Physics, Quantum Mechanics, and Cosmology to stay inspired by the elegance and depth of the universe.He is known for his leadership, collaborative mindset, and adaptability, and enjoys working in fast-paced, evolving environments.His guiding belief remains:“With discipline, dedication, commitment, and hard work—anything in this universe can be achieved.”
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