• Engineered a fault-tolerant and scalable system to enable food content organization and rediscovery in 4+ countries to drive customer engagement up by XX%.

• Developed scalable micro services to enable users to save, explore and remove notes to handle traffic of XX Million+ MAUs.

• Reduced manual data processing by designing and building a fully automated ETL pipeline to asynchronously transform business intelligence data and upload in Redshift data clusters.

• Collaborated with Data-mapper team to acquire hotel-reservation data and developed a web interface to capture information like hotel names, check-in times and 12 other categories using custom trained BERT language model.

• Improved the performance of the TripIt app by utilizing knowledge of deep learning, CSS and REST to achieve an overall accuracy of 96%.

• Worked on Statistical models like CRF to extract entities from User emails using Named Entity Recognition.

• Coordinated with the client to understand the business needs to provide a scalable solution to conversion of legacy into digitally accessible storage that helped to expand the company’s business by $X M with Client

• Reduced the man-hours to 21% by extracting the expense information from employee’s invoices for reimbursement using cv2, Tesseract, Keras and Python.

• Proposed and Spearheaded a deep-learning based solution to search and suggest semantically similar user queries using Python, NLTK and TensorFlow.