Mahesh is a Senior Full-stack Developer with expertise in back-end programming using Python-based web frameworks and back-end components and services on solutions. He writes functional tests to test systems, implements new functionalities to improve performance, and ensures software stability via documentation, code reviews, and automatic tests, debugging and maintaining full-stack applications.
Spearheading the creation and deployment of 3 microservices from scratch using the Python FastAPl framework.
Architecting and leading a complete overhaul of database design, serialization, and ORM with SQLAlchemy, enhancing data retrieval speed by over 50% through the strategic use of indexes and denormalization and cutting data processing latency by 30% with effective caching strategies.
Achieved 94%+ coverage in unit testing using PyTest, demonstrating high code quality.
Implementing React with TypeScript, establishing project-wide rules and folder structures, and ensuring robust testing with Cypress for E2E and Jest for unit tests, significantly improving project maintainability and team efficiency.
Successfully implemented new features that boosted data retrieval efficiency by 40%.
Facilitated direct data fetch from third-party sources instead of database queries, markedly reducing server load and accelerating response time by 25%.
Enhanced front-end functionality and fixed 8 critical bugs, resulting in a 30% faster UI response and a more intuitive user experience with React, Redux, and Actions.
Built and deployed a new framework with calendar, events, and email functionalities.
Developed and implemented new REST APIs on the solution.
Worked on a POC solution to handle encryption and decryption of data.
Implemented Google Cloud tasks and queues for efficient user data import, optimizing bulk data insertion processes to reduce time by 80%.
Customized Flask-REST-JSON API library to enable bulk row updates, significantly improving API response time by 80% through query optimization, n+1 query avoidance, and strategic caching.
Nuffsaid is an intelligence platform that centralizes work apps, prioritizes work that matters, and makes it easy to take action. Developed and implemented the calendar, events, and email functionalities, set up REST APIs to import user data, worked on data encryption and decryption, and implemented webhooks to sync data between Gmail and Nuffsaid.
Designed, built, and deployed new REST APIs for the FNB project, working with team designers, analysts, and developers to deliver high-quality solutions. Wrote clean, scalable code, translating client requirements into technical specifications, and performed functional, unit, and integration tests on solutions.
Worked on the Seqirus solution, delivering high-quality data outputs to the UI team, handling insight generation using Pandas and NumPy, and optimizing API responses to improve performance.
