ashutosh-profile
🌊

🤗 Hola ! I am Ashutosh

an Software Engineer

22, he/him

about me.

Hi there! I am Ashutosh Jha, a tech enthusiast and budding software wizard studying Computer Science at NIT Jalandhar. Picture a coder who loves turning coffee into code and dreams into reality—that’s me! With a toolkit packed with Python, JavaScript, React.js, and Node.js, I have crafted everything from sleek mobile apps to powerful web platforms.

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 Development Intern, Denr Financial Technologies

at, Denr

March, 2024-Present

  • 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.

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 Push2Prod, an automated deployment tool for React projects, reducing deployment time by 30% and increasing deployment success rates by 20%.
  • Implemented features that streamlined the deployment process, resulting in a 25% improvement in overall workflow efficiency.
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

AI - Summariser

Live PreviewGitHub

👍🏽 Maintained

  • Developed and deployed a cutting-edge website powered by ChatGPT-3.5, revolutionizing the article reading experience through intelligent summarization. Resulted in a significant time-saving of up to 40% for users
  • Engineered seamless integration of ChatGPT-3.5 into the website, enabling users to effortlessly summarize complex articles with precision and brevity, facilitating efficient information consumption and comprehension
  • Designed and implemented a user-centric interface that empowers individuals to input articles and receive concise and comprehensive summaries, significantly improving accessibility and knowledge acquisition by up to 35%
category: Web-Dev

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