About

Ankita Sinha is a highly skilled software engineer with a passion for artificial intelligence. She holds a Master's degree in Computer Science from the University of California, where she has been actively involved in research and development of AI technologies. Currently, Ankita is employed as a Software Engineer 2 at Intuit Futures, where she has been working for the past 4 years. During her time at Intuit, Ankita has worked on a wide range of technologies, including Java, Spring, Javascript, Python, ML, and more recently, Deep Learning, Privacy (Federated learning), and Natural Language Processing. She has also been involved in product ideation, development, and deployment, owning products end-to-end. Ankita's current role at Intuit Futures involves working predominantly on technologies such as Deep Learning, Federated Learning, and Natural Language Processing. She is highly skilled in AWS (Athena, Lambda, DynamoDB, QuickSight), NLP, Computer Vision, Python (sklearn, pandas, numpy), and has a wealth of experience in developing complex software solutions. Ankita has also worked on a variety of projects during her time at Intuit, including the VAT Efiling and Self Assessment features for QBOUK, as part of the "MAKING TAX DIGITAL" initiative by HMRC (HM Revenue Customs - UK GOVT). She has also worked on the BULK RECLASSIFY TRANSACTIONS tool for QBOA, which helps accountants edit fields in any incorrect transactions created by their clients. Ankita has a diverse educational background, having completed a Bachelor's degree in Computer Science from NIT Durgapur, followed by two Master's degrees in Computer Science from the University of Texas and the University of California, respectively. She also completed her ICSE Std 10 from Don Bosco Academy, Patna. Overall, Ankita is a highly motivated and skilled software engineer with a strong background in AI technologies. She is an expert in a wide range of programming languages and has a wealth of experience in developing complex software solutions.