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abhishek chikane

@abhishekchikane

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I lead production AI and GenAI systems for enterprise risk and financial intelligence.

India

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What I'm looking for

I'm looking to lead AI and GenAI initiatives that translate research into scalable enterprise products, particularly across decision intelligence, risk analytics, financial services, and regulatory compliance.

At Shapoorji Pallonji Finance, I lead a seven-member AI/ML team building production decision-intelligence systems for enterprise risk analytics. I work with Credit and Compliance stakeholders to take research prototypes into scalable platforms.

I led AI platforms that delivered 70% faster underwriting and a 90% reduction in compliance effort. My work includes an AI-powered corporate underwriting platform combining financial and alternate data with LLM-generated credit scores, assessments, and recommendations.

I’ve also built agent-based credit monitoring using RBI Early Warning Signals, LLM-powered market intelligence for portfolio monitoring, and RAG platforms for regulatory compliance and document reasoning. I lead LLM fine-tuning and evaluation for regulatory summarization, question answering, and action extraction.

Previously at Fujitsu Research, I developed conversational AI for airport passenger engagement and researched GNN architectures for weather forecasting and engineering simulation. I bring an IIT Bombay M.Tech. background and a focus on translating AI research into enterprise outcomes.

Experience

Work history, roles, and key accomplishments

Current

Assistant Vice President – AI

Current

Shapoorji Pallonji Finance

Feb 2024 - Present (2 years 8 months)

Led a 7-member AI/ML team in designing, developing, and productionizing AI solutions, translating research prototypes into scalable decision-intelligence systems for enterprise risk analytics. Drove architecture and delivery of AI platforms with Credit and Compliance stakeholders, delivering 70% faster underwriting and 90% reduction in compliance effort.

AI Researcher

Fujitsu Research

Jul 2022 - Jan 2024 (1 year 6 months)

Developed and deployed an LLM-powered conversational AI solution for airport passenger engagement, including domain-specific data preparation, model fine-tuning, dynamic query handling, and multi-platform API integration. Developed a novel mesh-based Graph Neural Network (GNN) architecture for global weather forecasting, achieving state-of-the-art accuracy for climate modeling and simulation.