Hi, I'm Nityom 👋
Frontend Developer Intern and AI enthusiast with expertise in building scalable web applications and machine learning solutions. Passionate about creating innovative products and solving complex problems.
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About

Currently pursuing a B.Tech in Information Technology at Bharati Vidyapeeth Deemed University with a GPA of 9.0/10. I have hands-on experience as a Frontend Developer Intern at GoFloww and an AI Intern at CDAC, where I built scalable products and worked on real-time data pipelines. My journey also includes building full-stack applications, contributing to healthcare solutions, and conducting research on gesture-based HCI systems and adversarial prompts on LLMs. I've actively participated in hackathons and thrive in fast-paced, problem-solving environments.

Skills

Python
Java
C++
HTML/CSS
JavaScript
SQL
TypeScript
Next.js
React.js
Node.js
WordPress
Figma
Framer
My Projects

Check out my latest work

I've worked on a variety of projects, from simple websites to complex web applications. Here are a few of my favorites.

AI PDF Assistant

Built an AI-powered tool to summarize uploaded PDFs using Gemini's API, handling both text-based files. Developed an intuitive interface using Streamlit for real-time interaction and deployment.

Python
Streamlit
Gemini API
PDF Processing
Machine Learning

DevTinder

Created a matchmaking engine to pair developers just like tinder.

React
Node.js
NoSQL
JavaScript
Express.js

Blog App

Built a full-stack blog platform with CRUD functionality using React, Node.js, and NoSQL.

React
Node.js
NoSQL
JavaScript
Express.js
MongoDB
Research

My Research Work

I'm passionate about exploring cutting-edge technologies and contributing to research in AI, computer vision, and human-computer interaction.

Gesture-Based HCI System

Developed a computer vision-based interface for kiosks using OpenCV and MediaPipe. Hand gesture control for kiosks using OpenCV + MediaPipe.

Python
OpenCV
MediaPipe
Computer Vision
Machine Learning
Human-Computer Interaction

Adversarial Prompts on LLMs

Conducted research on testing LLMs' robustness against adversarial prompts. Analyzed vulnerabilities and defense mechanisms in large language models.

Python
Natural Language Processing
Machine Learning
Large Language Models
Adversarial AI
Security Research
Hackathons

I like building things

During my time in university, I attended 2+ hackathons. People from around the country would come together and build incredible things in 2-3 days. It was eye-opening to see the endless possibilities brought to life by a group of motivated and passionate individuals.

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    Hacktober Fest

    Online

    Participated in the annual open source contribution event, contributing to various open source projects and learning collaborative development practices.
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    Hack This Fall - GitHub Partner Winner

    Online

    Won the GitHub Partner track by developing an innovative solution that impressed the judges with its technical implementation and practical utility.
Contact

Get in Touch

Want to chat? Just shoot me a dm with a direct message on LinkedIn and I'll respond whenever I can. I will ignore all soliciting.