Headline

Ex-Piramal Finance | GenAI | Machine Learning | NLP | AI | Python | Open Source | BITS P’23

About

At Piramal Capital & Housing Finance, our team revolutionized sales support by developing a state-of-the-art AI chatbot, which leveraged dynamic few-shot learning and prompt engineering. This innovation significantly increased transparency and user engagement, handling over 50,000 queries within three months. My educational foundation in technology from BITS Pilani, coupled with my skills in Large Language Models and Generative AI, drives my commitment to impactful innovations. We're optimizing data-driven decision-making in sales, fostering a culture of performance excellence and competitive spirit through peer comparisons and intelligent insights. Check out my Github profile: https://github.com/Vidit-Ostwal

Location

Bengaluru

Work experience

GenAI Engineer at Piramal Capital & Housing Finance Limited, Nov 2023 - Jul 2026 · 2 yrs 9 mos, Bengaluru, Karnataka, India, • Designed and developed ARYA, an internal chatbot for the sales team, using a combination of Retrieval-Augmented Generation (RAG) and agentic-powered systems. ARYA has handled over 500,000 queries since its launch and was awarded Best AI Chatbot Product of the Year. • Built Daily-Huddle, a chatbot integrated with the WhatsApp ecosystem to improve visibility for Branch Sales Managers, resulting to a 30% reduction in the time taken to conduct daily huddles. • Designed CAM-Copilot, a chatbot assistant for underwriters that summarizes CIBIL reports, bank statements, and other documents for any customer—reducing turnaround time by approximately 40%. • Currently working on an internal TEXT-to-SQL chatbot inspired by Uber’s QueryGPT.

Data Engineer at Piramal Capital & Housing Finance Limited, Jul 2023 - Oct 2023 · 4 mos, Bengaluru, Karnataka, India, 1. Orchestrated data pipelines for real-time feature delivery to machine learning models, enhancing model performance by 15%. 2. Designed and deployed scalable microservices architecture, reducing feature serving latency by 20%, improving response times for downstream applications. 3. Utilized expertise in python, spark to optimize end-to-end feature store functionality, ensuring efficient data flow for various machine learning needs.

Junior Associate at Indus Insights, Jan 2023 - Jun 2023 · 6 mos, Gurugram, Haryana, India, 1. Developed dynamic forecasting models using delinquency buckets and economic adjustments, enabling clients to navigate seasonal and annual fluctuations with confidence. 2. Conducted client meetings, presenting impactful findings on acquisition, response rates, intent validation, and ad-hoc requests, demonstrating strong communication and client service skills. 3. Contributed actively beyond core responsibilities by taking initiative on ad-hoc analyses, showcasing adaptability and a thirst for continuous learning.

University Leader at Community Classroom, Jul 2021 - Sep 2021 · 3 mos, India, • Founded and led a university community promoting accessible education for all. • Conducted workshops to foster a thriving programming culture on campus. • Committed to breaking barriers and providing quality education to a diverse audience.

Project Leader - Machine Learning at Swecha, Jun 2021 - Jul 2021 · 2 mos, India, • Designed and implemented a robust fact-checking machine learning model for Swecha, utilizing scraping codes to extract news articles from reputable sources. • Conducted a thorough comparison between scraped articles and user-input news data, enhancing accuracy through textual entailment analysis. • Developed skills in machine learning, data scraping, and natural language processing.

Education

Bachelor of Technology - BTech, Birla Institute of Technology and Science, Pilani