I am an Machine Learning engineer with a strong foundation in building intelligent systems and applying machine learning and deep learning techniques to solve complex problems. I am proficient in working with cutting-edge AI models and frameworks, and I also have experience with React.js for building modern, performant web applications. Currently, I am enhancing my technical skills by learning data structures and algorithms (DSA), further strengthening my problem-solving abilities and deepening my understanding of computational efficiency.
January 2024 - September 2024
September 2024 - June 2025
June 2025 - Present
June 2025 - Present
Deep Learning
https://github.com/thegurlalsingh/Neurological-Disease-Classifier
I developed a neurological disease classifier using deep learning, designed to analyze medical data and accurately classify neurological conditions. The project involved extensive data preprocessing, model design using neural networks, and performance tuning for optimal accuracy. This backend-focused implementation showcases my ability to apply deep learning techniques to real-world healthcare problems, emphasizing model reliability, evaluation metrics, and scalability for future integration.
TensorflowKerasPythonKaggleLarge Language Model
https://github.com/thegurlalsingh/hiring-assistant
I developed a hiring assistant chatbot using a local Ollama language model to conduct technical interviews. The assistant dynamically generates role-specific questions, evaluates candidate responses, and assigns scores based on the quality of answers. The results are stored in Firebase for easy tracking and analysis. For the frontend, I used Streamlit to build an interactive, user-friendly interface, enabling real-time interactions and data display.
Large Language ModelPythonStreamlitDeep Learning and Natural Language Processing
https://github.com/thegurlalsingh/Poetry-Generator-using-Markov-Chain-Model-and-RNN
I developed a poetry generator that takes a single input poem and generates new poetry in a similar tone and style, using a hybrid of Markov Chains for local structure and an RNN for capturing deeper patterns and flow. The system learns from the input on the fly, allowing for dynamic, tone-consistent poetic generation.
TensorflowKerasPythonKaggleNatural Language ProcessingFull Stack Devlopment
https://yanagaur.com/
I developed an interactive 3D animation project using Spline integrated with a Next.js frontend. The project showcases smooth, real-time 3D visuals embedded seamlessly within a modern web interface, offering an engaging user experience. For the contact functionality, I implemented EmailJS, enabling users to send messages directly from the site without needing a backend.
Next.JSEmail.JSSplineFull Stack Development
https://authentication-nextjs-with-custom-ui-clerk-7fkr.vercel.app/
I developed a practice project focused on animated frontend development, featuring custom mesh animations and smooth user interactions. For authentication, I used Clerk but built a fully custom sign-in and sign-up UI instead of relying on Clerk’s default templates, allowing full control over the user experience and styling. This project helped me refine my skills in combining animation, authentication, and clean UI design in a modern frontend stack.
Next.jsClerksinghgurlal1303@gmail.con
+91-8266808013