Software Engineer

Ritesh Samal

Full-stack developer with hands-on experience building NLP-driven products, secure OAuth integrations, and cloud-ready applications.

Turning complex problems into fast, reliable, user-friendly products.

Computer science graduate with a strong foundation in data structures, algorithms, and applied machine learning.

Projects & Experience

Featured work and professional experience, with concise impact and tech stack details.

EmailEssence

1st Place — Best Capstone Project

AI-Powered Email Summarizer — Capstone

AI-driven email assistant designed to streamline inbox management using NLP-based summarization and a focused reading experience.

  • Designed and implemented NLP-driven summarization to surface key information and improve readability.
  • Engineered secure OAuth 2.0 authentication for Gmail and IMAP with token-based access and privacy-first handling.
  • Built a scalable MongoDB backend for efficient data storage and retrieval.
  • Contributed across the full product lifecycle including system design, development, testing, and iteration.
Tech Stack: React · Express.js · Python · MongoDB · NLP · OAuth 2.0

Cycles

2nd Place — Project Award

Women’s Health App — Quadrant Technologies (Intern)

Cloud-based women’s health application enabling users to track menstrual cycles, predict future cycles, and monitor health symptoms.

  • Developed core features for cycle tracking, health insights, and predictive functionality.
  • Implemented backend services using Python and Azure Cosmos DB for scalable cloud data management.
  • Supported CI/CD workflows in Azure DevOps to enable reliable builds and deployments.
  • Collaborated with cross-functional teams to deliver production-ready features in an agile environment.
Tech Stack: AngularJS · Python · Azure · Cosmos DB · Azure DevOps

Additional Projects

Charge Finder

Web application helping EV drivers locate nearby charging stations and plan routes using interactive map visualization.

Tech Stack: Python · Django · MySQL · Google Maps API

Auction House Platform

Full-stack web platform for managing auction listings and user interactions with dynamic data updates.

Tech Stack: Django · MySQL · AJAX · HTML · CSS

About

I’m a computer science graduate and software engineer with hands-on experience building full-stack and AI-powered applications. I enjoy working across the stack—from designing clean, intuitive user interfaces to building secure, scalable backend systems and integrating applied machine learning where it adds real value.

My academic and project experience has given me a strong foundation in data structures, algorithms, and software engineering principles, along with practical exposure to technologies such as React, Python, Express, Django, and cloud platforms including Azure, AWS, and GCP. I’ve worked on projects involving NLP, OAuth-based authentication, and cloud-native architectures, always with an emphasis on performance, reliability, and user experience.

Outside of coding, I enjoy learning new technologies, refining my problem-solving skills, and building projects that translate complex ideas into practical software. I’m seeking an entry-level software engineering role where I can continue growing, contribute to impactful products, and collaborate with experienced engineers.

Skills

Programming Languages

Python · Java · JavaScript · C++ · HTML · CSS

Frameworks & Tools

React · Django · Express.js · REST APIs · Git · GitHub · Electron.js

Cloud & AI

AWS · Azure · GCP · Docker · TensorFlow · scikit-learn

Core Strengths

Full-stack development · Applied ML · Database design · Performance optimization · Team collaboration

Contact

I’m open to discussing software engineering opportunities, projects, or collaborations.