Prathamesh N.

Prathamesh N.

Mumbai, India
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About Me

Prathamesh possesses extensive expertise in full-stack software development, encompassing an impressive seven-year track record across diverse web domains, tech stacks, AI implementations, and product development. His areas of specialization include Node.js, React, and Python. Prathamesh strives to leverage his acquired proficiencies in the software industry to contribute significantly to a company's strategic business objectives and deliver groundbreaking solutions.

AI, ML & LLM

XML ORMLite Pytorch Blockchain

Frontend

JavaScript CSS3 HTML CSS HTML5 Tailwind CSS Next.js Bootstrap React Native Angular React Vue React Apollo Server-side JavaScript HTML5 Animations Vue 3

Backend

PHP Express.js Django Django REST Framework Node.js REST APIs API Development Zapier APIs API Integration

Database

SQL MongoDB PostgreSQL MySQL

DevOps

Azure Logic Apps DevOps Google Cloud Platform (GCP) Azure Docker Amazon Web Services (AWS) Kubernetes AWS Lambda Cloud Firestore Google Cloud Cloud Infrastructure Google Cloud Functions

QA & Testing

Jest Cypress Selenium Unit Testing E2E Testing Test Automation Test-driven development (TDD)

Workflow

Git Github JIRA Trello

Other

Typescript ECMAScript (ES6) Python 3 Python 2 Python C++14 C Solidity Dart WASM Graphql C Material UI Electron Ant Design Redux Flutter Ember.js NestJS .NET Moment.JS Backbone.js jQuery RXJS d3.js Tensorflow OpenCV THREE.JS WebGL Webpack 4 Grunt Gulp Prisma Odoo Webpack CMake RabbitMQ Agile Object-oriented Programming (OOP) Design Patterns REST Scrum Functional programming Serverless Architecture Microservices Responsive Web Design (RWD) Back-end Architecture Management UX Design UI Design Windows Twilio Amazon EC2 Android MacOS Heroku Apache2 iOS Web Konnektive CRM Firebase Apache Kafka Vercel Redis JSON Styled Components Axios Deno Vite Front-end Single Page Applications (SPA) Back-end Architecture Technical Leadership Full-stack Redux RTK Full Stack Development HTTP REST Web Applications Software Architecture Front-end Development Web Components Material Design Progressive Web Applications (PWA) Responsive Design CORS MVP Design Proof of Concept (POC) Payment Gateways SaaS Leadership Image Processing Deployment Startups Technical Architecture Web Development Smart Contracts Embedded Software eCommerce Internet of Things (IoT) Framer Web Security Minimum Viable Product (MVP) User Interface (UI) User Experience (UX) Proxy Servers CTO Single Sign-on (SSO) Cordova Firebase Hosting Apollo Project Management

Work history

Inframandi.com
Product Manager
2022 - Present (3 years)
Kognitiv
Senior Full-stack Developer
2021 - 2022 (1 year)
eJam
Senior Full-stack Developer
2020 - 2021 (1 year)
Accio
Machine Learning Engineer
2019 - 2020 (1 year)
AitoeLabs
Full-stack Software Engineer
2018 - 2020 (2 years)
Zeus Systems Pvt
Software Engineer
2016 - 2018 (2 years)

Showcase

Rooster

  • Rooster is an extension application designed to upgrade the scheduling features of HCM platforms, and it integrates easily with numerous other HCM platforms in the market.

  • Key features of Rooster include auto-booking, comprehensive notifications, and smooth automation.

  • Throughout the project, achieved success in the proposition and execution of an innovative automation feature, which facilitates automated tasks like sending calendar invitations, cancellations, and rescheduling.

AI-Sentinel

  • AI-Sentinel is a sophisticated web dashboard designed with React and Node.js, serving to manage smart surveillance security systems using AI and machine learning process in C++

  • Responsibilities included comprehensive front-end and back-end architecture formulation and implementation, camera configuration, DVRs integration, and security rule settings

  • Provided mentorship to junior developers, effectively delegated tasks, and contributed significantly to machine learning, especially object detection and segmentation algorithms

Face Search App Lumos

  • Lumos is a cross-platform desktop application, created with Electron and React.

  • The application is equipped with advanced facial recognition capabilities.

  • It allows users to smoothly search for faces within local photos and retrieves all images containing the specified faces.

Annoy-Node

  • Annoy-Node is a TypeScript typed binding for the Annoy index library, aiming to improve JavaScript and TypeScript integration.

  • The existing binding library lacks TypeScript support and doesn't incorporate the latest features.

  • The team has used N-API to develop this improved binding.

Education

Education
Bachelor's Degree in Computer Science
University of Mumbai
2012 - 2016 (4 years)