Jan 2022 – May 2022 · 4 mos · Noida, Uttar Pradesh, India

Oct 2019 – Dec 2021 · 2 yrs 2 mos · Noida, Uttar Pradesh, India

Jul 2018 – Sep 2019 · 1 yr 2 mos · India

• Developed an accurate model to detect multiple clinical features from Fundus images
• Developed model leveraging transfer learning using architectures like ResNet, VGG, GoogLeNet Inception for multi-label classification and segmentation.
• Built and deployed high throughput image synchronization application for slow internet connection devices.
• Built Fundus Image Annotation platform for Ophthalmologists.

Nov 2017 – Jan 2018 · 2 mos · India

• Mentoring more than 20 active students in various fields like Coding, Training/Documentation, Quality Assurance, User Interface etc.
• Established realistic work objectives, Timeline expectations and designed tasks for the overall growth of students(version control system, community culture etc.)

Aug 2017 – Apr 2018 · 8 mos · India

• Publication : https://dl.acm.org/doi/10.1145/3372328
• PATIENT SEVERITY DETECTION
• Created a dataset containing 4 million sentences by scraping the Patient website and refining the data as per CLEF eHealth Evaluation standards.
• Developed a sentence annotation platform for AI-NLP-ML group of Computer Science and Engineering Department.
• Created a Medical Entity Recognition system using Unified Medical Language System(UMLS) and Apache CTakes.
• Applied LSTM RNN and LSTM with Attention Mechanism to classify severity related to each entity.

May 2017 – Aug 2017 · 3 mos · Greater Delhi Area

• Developed a platform to filter the output file of Mass Spectroscopy machine as per the requirements of Data Scientists.
• Automated the process of transferring the large datasets from various cloud services like Google Drive, Dropbox and Box to AWS S3.
• Designed and developed the overall architecture of the application and implemented the foundational elements
• Unit Tested the complete code base and shipped the application.

Apr 2016 – Aug 2016 · 4 mos · India

• Created a bridge between Medical Record Systems(OpenMRS) and reporting and analysis tool(DHIS2), primarily to graphically represent the medical data.
• Worked on the DHISReport Module built for automating the process of running SQL queries against an OpenMRS instance and posting the results to a DHIS2 instance.
• Built a platform which helps in Mapping and Connecting DHIS2 Organisation Unit with OpenMRS Instances.
• Automated the process of importing the report definition template from the DHIS2 implementation through the WebAPI.
• Extensive Unit Testing of the complete code base of DHIS2Report Module.

Nov 2015 – Jun 2017 · 1 yr 7 mos · India

• Implemented object validation features to validate all objects before storing them in Database.
• Collaborated with researchers and developers from AMPATH, ThoughtWorks and Regenstrief at Developer and Design Meetings.
• Worked on a scalable, enterprise-level codebase written in Java utilizing the Spring MVC and Hibernate ORM frameworks.
• Fixed crucial bugs and introduced new features in the Core and DHIS2Report Module.
• Gained experience in writing testable code, good testing practices on multiple levels, dependency injection and the Scrum process.