Experience

With nearly two years of experience as a Machine Learning Engineer, I have worked on a range of projects that have required proficiency in Python as the primary language, as well as expertise in RegEx, Optical Character Recognition (OCR), Machine Learning (ML)/Deep Learning (DL), Object Detection with Mask-RCNN, and the TensorFlow framework. Additionally, I have gained significant experience in deploying cloud-based business solutions in Google Cloud Platform (GCP).

Furthermore, my experience as a teaching assistant has allowed me to demonstrate my exceptional leadership and interpersonal skills.

Boston University

Graduate Teaching Assistant

January 2022 - May 2022

  • Assisted students in the course CS 677 Data Science with Python, which covered topics about supervised and unsupervised learning algorithms, under the guidance of Prof. Eugene Pinsky.
  • Evaluated assignments and final projects of 50 students and interacted with them twice a week to answer all their queries throughout the semester.

Intain Technologies (In-D)

Machine Learning Engineer

June 2019 - August 2020

  • Leveraged Python libraries, including Pandas, Regex, Object Detection using Mask-RCNN, TensorFlow framework, and OCR to develop and deploy predictive models in sales and marketing applications.
  • Digitized and extracted relevant fields from Indian government documents such as passports, driver’s licenses, voter IDs, and more as part of product development.
  • Deployed Docker image of the product, used for automation, built on REST APIs in Google Cloud Platform (GCP).
  • Built a prototype with appropriate documentation to automate the process of extracting fields, reducing manual effort of extraction by over 80% through the development of KYC product, which generated $500k in revenue for the company.
  • Improved accuracy by 7% (97%) using Mask-RCNN trained on around 500 images per class (medium-sized datasets) compared to 90% accuracy achieved using RegEx.
  • Managed source control and collaborated with team members using Git (GitHub).
  • Collaborated with non-technical stakeholders to effectively communicate complex ideas through written, verbal, and data visualization presentations.

Intain Technologies (In-D)

Machine Learning Engineer Intern

February 2019 - June 2019

  • Collaborated with the company's software development team to implement best practices in a Agile development methodology.
  • Utilized Google OCR to extract relevant fields with 90% accuracy from over four scanned documents and financial statements.