ashutosh-profile
🌊

🤗 Hola ! I am Ashutosh

an Software Engineer

23, he/him

about me.

Hi there! I am Ashutosh Jha, a tech enthusiast and a software engineer. I love building stuff that makes people's lives easier. I am currently working as a Software Engineer at Paytm. I am a quick learner and I am always looking for new challenges.

I am currently open for full-time Software engineering roles.

Are you a collaborative team of engineers or a developers with cool ideas who are building great products. Interested in working together? Feel free to schedule a meet!

Resume

worked as.

Software Engineer, Paytm

at, Paytm

January, 2025-Present

  • Converted to a full-time role after successful internship, contributing to the development of next-generation RTOS-based IoT payment devices including Soundbox, Dynamic QR, and EDC machines.
  • Led end-to-end development of Display Soundbox and India’s first AI Soundbox, enhancing merchant payment experiences nationwide.
  • Implemented AI-driven automation to streamline device operations and enabled direct interaction with AWS IoT services through terminal-based tooling.
  • Collaborated with firmware and backend engineering teams to ensure stability, reliability, and seamless production rollouts.

Software Development Intern, Denr Financial Technologies

at, Denr

March, 2024-June, 2024

  • Architected and developed a cross-platform mobile application using React Native, Expo, and Tailwind CSS.
  • Integrated AWS backend services for user authentication, data storage, and cloud computing functions.
  • Implemented comprehensive unit testing with Jest, increasing code quality and reliability by 25%

Frontend Development Intern, House Technologies

at, House Technologies

October, 2023-December, 2023

  • Drove website development and maintenance initiatives, harnessing the power of React.js to craft dynamic and user-friendly web solutions.
  • Collaborated closely with cross-functional teams, actively gathering and analyzing project requirements to ensure alignment with client expectations.
  • Showcased proficiency in a diverse array of programming languages and frameworks, such as HTML, CSS, JavaScript, and React.js, to engineer and optimize website features. Demonstrated a proactive approach in identifying and resolving website issues, ensuring a seamless and error-free user experience.

Microsoft Cybersecurity Engage Mentee, Microsoft

at, Microsoft Engage 2022

June, 2022-Sept 2022

  • Participated in an intensive 6-week program to develop skills in cybersecurity and threat intelligence. Completed hands-on exercises, identified and remediated security threats, and collaborated on a real-world cybersecurity project. Improved skills in threat hunting, vulnerability management, and incident response.

cool projects.

Push2Prod

GitHub

🏗️ Ongoing

  • Developed an automated cloud deployment tool that reduced deployment time by 30% and increased success rates by 20%.
  • Designed and implemented CI/CD pipeline with GitHub Actions and AWS services, improving development workflow efficiency by 25%
  • Built scalable microservices architecture capable of handling 100+ concurrent deployments, demonstrating strong problem-solving skills
  • Used telemetry and metrics to track system performance and drive operational excellence
category: Full-Stack

SecurePass - Password Manager App

GitHub

👍🏽 Maintained

  • Developed a mobile app using React Native to securely store and manage passwords, contributing to a 20% increase in user data security.
  • Utilized MongoDB for encrypted password data storage and Node.js for backend communication, improving app performance and data management efficiency and Enabled offline access to stored passwords for user convenience, leading to a 15% increase in user satisfaction.
category: Mobile-App

HealthAPI Microservice

GitHub
  • Built a RESTful microservice for managing health records using Spring Boot and JPA.
  • Implemented CRUD endpoints, DTO mapping, exception handling, and integrated Swagger for API documentation.
  • Containerized the service with Docker and deployed on AWS EC2 for testing.
category: undefined

LD-Net Lightweight Image Dehazing Algorithm

GitHub

👍🏽 Maintained

  • Developed a deep learning-based algorithm to enhance visibility in hazy images and videos, improving visual quality and clarity.
  • Designed and implemented an autoencoder architecture using PyTorch to learn the dehazing process, achieving state-of-the-art performance.
  • Integrated the dehazing model with a web platform using React.js and connected it via a Flask API to provide a user-friendly interface for uploading and processing images.
category: AI/ML

contact, socials.

GitHub@thealonemusk
Twitter@thealonemusk
LinkedInlinkedin.com/in/thealonemusk
Instagram@thealonemusk
Schedule a meetingcal.com/thealonemusk
Resumethealonemusk.com/resume