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Vineeta Motilal
Senior Analyst @NAB
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WORK HISTORY
Senior Analyst @NAB
Gurugram, IN
Designed and executed batch processing of customer records using Python and SQL, orchestrated with Apache Airflow and deployed via Jenkins, improving data pipeline reliability and scalability.2. Implemented a document intelligence solution for legal trust fund processing using Retrieval-Augmented Generation (RAG) with LLMs, automating insights from 200–300 page PDFs. The system was adopted by the legal team, improving banker efficiency by over 40%.3. Built a hackathon-winning Agentic AI solution using LangChain, GPT-4, ChromaDB, and Python, automating L1/L2 troubleshooting through dynamic task execution. Integrated with Airflow, Jira, and monitoring tools, it automated 70% of repetitive tasks, saving ~120 hours/month and reducing workload equivalent to 3 FTEs.Keywords: Java 17, Python, SQL, Apache Airflow, Jenkins, Generative AI, RAG, Document QA, Process Automation, Hackathon, Legal Tech, Efficiency Optimization
EDUCATION
Shaheed Rajguru College of Applied Sciences For Women, University of Delhi
Bachelors of Science, Electronics
Indian Institute of Technology Jodhpur
Master of Technology - MTech, Artificial Intelligence
Institute of Informatics and Communication, University of Delhi
Master of Science, Informatics and Communication
SKILLS
ABOUT VINEETA MOTILAL
Software engineer with AI expertise spanning over 6֡ years of software development experience and specialized expertise in Generative AI, Machine Learning, and enterprise-scale AI solutions. Proven track record of implementing production-ready AI systems including RAG-based document intelligence, Agentic AI workflows, and ML-powered automation that deliver measurable business impact. Strongfoundation in Java and Python with hands-on experience in LLMs, LangChain, and modern AIframeworks. MTech in Artificial Intelligence from IIT Jodhpur with demonstrated ability to bridgeacademic AI research with practical enterprise applications.
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