Jan 2025 – Oct 2025 · 9 mos · Noida, Uttar Pradesh, India · On-site

• As a Lead Data Scientist at University Living, I drive the company’s AI and machine learning initiatives to transform the student accommodation experience. My responsibilities include architecting and deploying AI-driven solutions such as voice assistants, chatbots, and real-time NLP-powered call intelligence platforms that streamline lead conversion and enhance customer engagement. I work closely with engineering, sales, and operations teams to integrate AI into core business processes, enabling automation, data-driven decision-making, and improved efficiency. Leveraging technologies such as LLMs, RAG pipelines, FastAPI, Elasticsearch, and Redis, I design scalable systems capable of handling large volumes of interactions while maintaining high accuracy and reliability. I focus on building conversational AI agents that simulate human-like interactions, improving conversion rates, reducing manual workloads, and providing actionable insights from customer calls. At University Living, I am committed to applying state-of-the-art AI and GenAI advancements to solve practical business challenges, driving measurable impact across sales, operations, and customer experience.

May 2021 – Jan 2025 · 3 yrs 8 mos · Gurugram, Haryana, India · On-site

• I am a Machine Learning Engineer with a background in fast-paced startups and the software engineering industry. With 4.10 years of experience, I have a strong track record of tackling challenging problems using scalable Machine/Deep Learning techniques. My passion lies in finding effective solutions to complex issues through the power of advanced technology.

Feb 2020 – Apr 2021 · 1 yr 2 mos · Noida, Uttar Pradesh, India · On-site

• At J and F, I led the development of an automated machine learning system for iOS apps using Turicreate, PyTorch, TensorFlow, and Flask. I also streamlined real estate tasks through BIM 7D, including floorplan detection, document classification, data extraction, and more, using technologies like Turicreate, Pytesseract, TensorFlow, OpenCV, and Flask. Additionally, I oversaw real-time object detection projects using the YOLO v3 algorithm and Flask, enhancing efficiency and accuracy. My role focused on leveraging cutting-edge tech for innovative and efficient machine learning solutions.