Hi There,
I'm Aditya Kumar Arya

i am into

About Me

About Me

I'm Aditya

AI/ML Engineer

I am an AI/ML Engineer and Full-Stack Developer based in India. Currently pursuing a B.Tech in Information Technology at IIIT Una, I am passionate about building intelligent systems and scalable applications. I have hands-on experience in developing AI-driven solutions, including chatbots, RAG-based systems, and voice-enabled agents, along with strong skills in full-stack development using the MERN stack. I enjoy solving complex problems, having solved 1000+ coding challenges on LeetCode and CodeChef, and achieved a 3-star rating on CodeChef. My focus is on continuously improving my skills in Machine Learning, Deep Learning, and Software Development while working on impactful projects that merge technology with real-world needs. I love creating innovative solutions, from medical assistants to conversational AI agents.

email : aryaadityakumar222@gmail.com

place : Delhi, India - 110093

Skills & Abilities

Python
JavaScript
C++
azure-1 Azure
PostgreSQL
external-deep-learning-data-analytics-flaticons-lineal-color-flat-icons-3 Deep Learning
artificial-intelligence--v2 Machine Learning
brainstorm-skill NLP
tensorflow TensorFlow
pytorch PyTorch
external-mongodb-a-cross-platform-document-oriented-database-program-logo-color-tal-revivo MongoDB Atlas
tailwind_css Tailwind CSS
git Git
github--v1 GitHub

My Education

Education is not the learning of facts, but the training of the mind to think.

Bachelor of Technology in Information Technology

Indian Institute of Information tehcnology Una

2022-2026 | Pursuing

Projects Made

Medical Chatbot

Medical Chatbot

Built a context-aware medical chatbot using RAG (Retrieval-Augmented Generation) architecture and FastAPI for robust API routes.

Variational Autoencoder

Variational Autoencoder (VAE)

Developed a VAE for image reconstruction and generation, using a 200-dimensional latent space.

Stock Market Analyzer

Developed a real-time Stock Market Analyzer with AI-powered insights.Integrated Finnhub, Tavily, Groq for stock data, news analysis, and AI-generated market insights.

Sentiment Analyzer

Developed a Sentiment Analyzer using a dataset with neutral, positive, and negative sentiments. Trained the model using LinearRegressionCV and preprocessed the text (removing HTML, emojis, and stopwords). Built the backend in Python with Flask and the frontend in HTML to display real-time sentiment predictions.

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Experience

Ingenious E brain solutions

GenAI Intern

June 2025 - present

RemoteEngine

AI/ML Engineer

April 2025 - June 2025

LiquidMind AI

Engineering Intern

Feb 2025 - March 2025

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