Headline

AI Engineer | AI Adoption Lead @ Citi | Ex-DENSO

About

As an AI Engineer and AI Adoption Lead at Citi, I sit at the intersection of technology, people and change. I help global business teams move from “AI is scary/complex” to “AI is embedded in how we work every day.” • 5+ years of experience building and deploying end-to-end ML, AI, and GenAI solutions across banking and manufacturing domains. • Currently leading Corporate Liquidity Analytics and AI initiatives at Citi, developing ML/LLM systems supporting multi-million-dollar treasury and business decisions. • Experienced in designing scalable AI systems, advanced analytics frameworks, and enterprise-grade data pipelines for high-impact business use cases. • Designed and deployed an AI-powered RAG assistant using LangChain, GPT-4o, and FAISS for enterprise knowledge retrieval and context-aware internal Q&A. • Built scalable liquidity and deposits analytics frameworks, reducing reporting timelines from days to hours and supporting multi-region treasury growth initiatives. • Strong expertise in Machine Learning, Generative AI, NLP, Time-Series Forecasting, and production-grade AI system development. • Hands-on experience across the complete ML lifecycle including data engineering, model development, deployment, optimization, monitoring, and automation. • Increasingly focused on Agentic AI systems and LLM orchestration involving tool usage, retrieval pipelines, memory, and autonomous workflow execution. • Skilled in: • Python • SQL • Machine Learning • Generative AI (GenAI) • Large Language Models (LLMs) • Retrieval-Augmented Generation (RAG) • LangChain & FAISS • NLP & Conversational AI • Time-Series Forecasting • Data Analytics & Data Pipelines • AI/ML Deployment & Automation • Interested in opportunities as: • AI Engineer • ML Engineer • Applied AI Engineer • GenAI Engineer • Data Scientist (ML/LLM/GenAI)

Location

India

AI stack

codex

opencode

Work experience

AI Engineer | AI adoption Lead at Citi, Nov 2024 - Present · 1 yr 9 mos, Pune District, Function as an internal AI & Digital Adoption Lead, partnering with teams across countries and clusters to identify AI use cases, redesign workflows and embed AI into daily operations. Run prompt‑engineering and AI literacy trainings tailored to different functions, helping non‑technical colleagues write effective prompts for their own use cases and overcome hesitation around AI.

Data Scientist at DENSO, Sep 2021 - Oct 2024 · 3 yrs 2 mos, Gurugram, • Delivered advanced analytics and AI/ML solutions to improve operational efficiency, process optimization, and business decision-making. • Collaborated with cross-functional teams including operations, business stakeholders, and technical teams to identify high-impact use cases and implement scalable analytical solutions. • Built and optimized data analysis frameworks, dashboards, and reporting pipelines to support strategic planning and performance monitoring. • Applied statistical analysis, predictive modeling, and machine learning techniques to derive actionable insights from large and complex datasets. • Contributed to process automation and operational improvement initiatives, reducing manual effort and improving reporting accuracy and turnaround time. • Supported project management activities including requirement gathering, stakeholder coordination, solution delivery, and continuous improvement initiatives. • Leveraged data-driven strategies to enhance operational workflows, customer experience, and business efficiency in a manufacturing environment.

GET at DENSO, Sep 2020 - Aug 2021 · 1 yr, • Started professional journey as a Graduate Engineer Trainee (GET), gaining hands-on experience in data analysis, process improvement and manufacturing operations. • Worked closely with cross-functional teams to support data-driven decision-making, operational efficiency initiatives and business reporting activities. • Assisted in analyzing large datasets, identifying process bottlenecks and contributing to continuous improvement projects within manufacturing workflows. • Developed foundational expertise in analytics, problem-solving, stakeholder collaborationand technology-driven business optimization.

Project Intern at Voltas Limited - A TATA Enterprise, Jan 2020 - Jul 2020 · 7 mos, Faridabad, • Worked as a Data Analyst Intern on a Solar Energy Project, contributing to energy-efficient and sustainability-focused innovation initiatives. • Supported the development of a 6-star solar-powered air conditioning prototype by analyzing performance data and renewable energy integration models using MATLAB. • Conducted benchmarking and comparative analysis across multiple AC brands, generating insights that supported product development and performance optimization strategies. • Performed testing and validation of AC systems across diverse operating environments to improve efficiency, reliability, and operational performance. • Analyzed HEPA filter and air purification data to identify optimization opportunities and enhance overall air quality performance.

Education

Bachelor of Technology, Electrical and Electronics Engineering, Thapar Institute of Engineering & Technology