Developing an online, multilingual, easy-to-use invoicing software for a company in Ireland that is a market leader in this segment– Work as the primary developer within the team, guiding and coordinating efforts to ensure project success– Designed and developed database for the software, implementing multi-tenant architecture using PostgreSQL– Developed rate limiter for the backend server from scratch using Node.js and Redis to prevent a basic DDoS attack– Develop the complete backend of the website using Node.js with Fastify web framework, Redis and Sequelize– Develop major frontend components utilizing React with minimal external dependencies– Conduct comprehensive testing on all developed features and promptly address identified bugs– Maintain detailed documentation covering all aspects of the project, ensuring ease of future maintenance

– Wrote tests for approximately 25 GraphQL APIs using Jest and Enzyme– Refactored, Added Comments and Improved Performance of approximately 25 server-side GraphQL APIs– Integrated Crashlytics and BugSnag with the newzera application to receive app’s crash reports– Developed APIs using GraphQL (both frontend and backend) to display the current temperature on the application based on the user’s location– Developed APIs to implement server-side caching using redis– Performed Query-Time analysis on 20 GraphQL APIs using Postman

– Designed and implemented a fully working model for extracting tabular content from a scanned PDF in Python using OpenCV and Google Vision API– Built a model for detecting tables in an image using detectron2 model by applying Transfer Learning– Built Multilabel Text Classification model using BERT architecture by applying Transfer Learning– Developed an algorithm for Text classification by word/phrase matching in Python using SpaCy and NLTK– Developed an algorithm by implementing multiprocessing in Python for scraping data from scanned electoral rolls using OpenCV and pytesseract and ran it on a remote server on 60,000+ PDFs– Fine tuned tesseract on custom data for Hindi and English languages leading to a huge boost in OCR accuracy– Compiled Industrial Information of 6,500+ Industries in India by performing Web Scraping in Python