• Worked on a GCP Data Lakehouse leveraging BigQuery and Dataform to process and manage real-time streaming data for a real estate application.• Developed a pipeline to optimize data workflows using DAGs in Cloud Composer, ensuring scalability, efficiency, and actionable insights for enhanced business decision-making.• Contributed as part of the AI and ML R&D team, focusing on advancing internal products related to Generative AI and Python. Currently developing a key feature that integrates cutting-edge AI and ML technologies to enhance the capabilities and performance of proprietary solutions.

• Involved with R&D team of 6 member in developing a text extraction POC. We used Python, Django, and Java, coupled with some AWS services: Textract and Lambda. • We also utilized some LLMs like GPT, LLaMA, Claude, Mixtral, and Qwen to improve text processing and accuracy. We were trying to optimize it using multi-threading and state-of-the-art OCR technologies.