Nov 2022 – May 2024 · 1 yr 6 mos · Ahmedabad, Gujarat, India · On-site

• Developed and deployed a Table Structure Recognition model with 91.04% Average Precision(AP), resulting in cost savings of $60k per month, dropped reliance on AWS Textract and GCP for healthcare record parsing.
• Designed and integrated a Table Detection module into TSR model with 81% AP benchmarked higher than JSL, AWS.
• Designed and successfully deployed a Handwritten Data Detection module with 82% AP.
• Recieved ”Client Care Champ” Award for the quarter October to December, 2023

Jul 2021 – Nov 2022 · 1 yr 4 mos · Noida, Uttar Pradesh, India · On-site

• Developed and deployed a handwritten OCR & OMR detection model for e-learning school platform.
• Optimized and trained an object detection model to detect equations in an image and convert them into its latex.
• Created a chemistry equation detection and its SMILES conversion module.
• Toolkit: OCR, NLP, Object Detection, YOLO, Detectron, GCP, LSTMs, Transformers.

Apr 2021 – Jun 2021 · 2 mos · Bengaluru, Karnataka, India · Remote

• Developed a human expression classification model for kiosk operation.
• Created an in-browser working model for real-time client-side prediction with 95 % accuracy at 9fps.

Sep 2020 – Dec 2020 · 3 mos · Seattle, Washington, United States · Remote

• Developed a stock predictor that takes in the data of the current stock pattern and devises the following pattern.
• Implemented a financial stock research paper into code.

Jan 2020 – Jul 2022 · 2 yrs 6 mos · On-site

• CGPA: 9
• Courses:
• Digital Image Processing
• Topics in Machine Learning
• Probabilistic Graphical Models
• Statistical Methods in AI
• Machine Learning for Natural Sciences
• Intro to Cognitive Science.

Mar 2019 – Jul 2022 · 3 yrs 4 mos · On-site

• Working in Machine Learning Lab.
• Published Research papers:
• 1. ARVO Journals, 2020 titled “Using Artificial Intelligence (AI) to Classify Retinal Developmental Disorders”. Was invited to present the paper in the Houses of Parliament at STEM for Britain.
• 2. BIPOSA Conference-Edinburgh, 2019 titled "Using artificial intelligence to distinguish between normal and abnormal development of the fovea". Won annual award for best abstract presentation.
• 3. British Congress of Optometry and Vision Science(BCOVS) the conference, 2020 titled ”Development and Validation of a Deep Learning Algorithm to Differentiate between Normal and Abnormal Retinal Development”.
• 4. Ophthalmology, AAO Journal, 2022 titled "Genotypic and Phenotypic Spectrum of Foveal Hypoplasia: A Multi-centre Study  ".
• 5. Variability of outer retinal hyper-reflective bands detected using optical coherence tomography.
• 6.Genotypic and Phenotypic Spectrum of Foveal Hypoplasia: A Multi-centre Study

Nov 2019 – Jul 2020 · 8 mos · Hyderabad Area, India

• Reviewed Computer Vision projects and suggested code changes or debugging on a large scale.
• Gave individual suggestions for various algorithms & ML techniques to devise a proper working code for the project.

Oct 2019 – Jul 2020 · 9 mos · Hyderabad Area, India

• • I review Natural Language Processing Nanodegree projects and provide detailed, insightful feedback for the students to meet the project specifications after carefully assessing the project codes and reports.

Aug 2019 – Jul 2020 · 11 mos · Hyderabad Area, India

• • I review Data Structures & Algorithms Nanodegree projects and provide detailed, insightful feedback for the students to meet the project specifications after carefully assessing the project codes and reports.

Jul 2019 – Jul 2020 · 1 yr · Hyderabad Area, India

• • I review Data Visualization Nanodegree Projects and provide detailed, insightful feedback for the students to meet the project specifications after carefully assessing the project codes and reports.

Apr 2019 – Jul 2020 · 1 yr 3 mos · Hyderabad Area, India

• • I review Computer Vision Nanodegree Projects and provide detailed, insightful feedback for the students to meet the project specifications after carefully assessing the project codes and reports.

Jul 2019 – Jul 2022 · 3 yrs · Hyderabad Area, India · Hybrid

• As part of the Intel community, I publish new novel researches and blogs which discuss research, projects, and interests in the space of Deep Learning and Artificial Intelligence.
• I also coordinate speakers of one or more Ambassador Labs on campus who connect with peers and the local community and provide training and insight into research work to students over the course of a calendar year.

Jun 2017 – Jul 2017 · 1 mo · Lucknow, Uttar Pradesh, India

• Worked on the project under the guidance of the Computer Science Wing. "The Payroll Management System" deals with the financial aspects of an employee's salary, allowances, deductions, gross pay, net pay, etc., and the generation of pay slips for a specific period.
• Data Analysis of employees and proper implementation of processes through which data is reviewed for the purpose of arriving at an informed conclusion was done.

May 2016 – Jul 2016 · 2 mos · Lucknow, Uttar Pradesh, India

• • Analyzed the crime data after inspecting, cleansing, transforming, and modeling it with the goal of discovering useful information, informing conclusions, and supporting decision-making.