Hello, I'm Shubham Kumar
AI/ML Enthusiast & Developer specializing in building intelligent solutions and predictive models with a passion for creating impactful technology.
AI/ML Enthusiast & Developer specializing in building intelligent solutions and predictive models with a passion for creating impactful technology.
Learn more about my background, skills, and what drives me in the world of AI and Machine Learning.
I am a passionate AI/ML student with a strong foundation in developing predictive models and building user-friendly interfaces. My journey in the field of artificial intelligence began when I discovered the power of data-driven decision making.
Currently, I’m focused on building machine learning solutions that solve real-world problems. I enjoy the entire pipeline — from data collection and preprocessing to model training, evaluation, and deployment.
I have hands-on experience with frameworks and tools such as Flask, FastAPI, Streamlit, and Gradio for developing AI-powered applications. On the machine learning side, I work extensively with scikit-learn, TensorFlow, Keras, and PyTorch.
In addition to core AI/ML, I’m also working on IoT and TinyML projects, exploring how machine learning can be embedded into low-power edge devices using platforms like TensorFlow Lite for Microcontrollers, Edge Impulse, and ESP32 boards.
A summary of my education, experience, and achievements in the field of AI and machine learning.
Completed a focused academic program in AI covering deep learning, computer vision, and NLP. Emphasized practical implementation of intelligent systems using Python, TensorFlow, and PyTorch. Developed mini-projects that applied neural network techniques to real-world datasets.
Graduated with a strong foundation in analytical thinking, mathematics, and computational methods. Studied classical mechanics, quantum physics, and numerical simulations, which built the problem-solving skills that now support a transition into data science and AI.
Designing intelligent edge solutions using IoT and TinyML with microcontrollers like ESP32. Projects involve real-time gesture recognition, audio classification, and environmental monitoring using TensorFlow Lite Micro and Edge Impulse for on-device processing.
Developed end-to-end ML pipelines solving real-world problems in computer vision and NLP. Contributed to model optimization, evaluation, and lightweight deployment, collaborating with senior AI engineers on smart, real-time, and scalable AI systems.
Explore some of my recent work in AI/ML development and implementation.
Current research and development initiatives I'm actively working on.
Building an intelligent system that adapts content and assessments based on individual student performance, learning pace, and preferences to enhance engagement and outcomes.
Building a comprehensive NLP framework that supports multiple Indian languages for sentiment analysis and text classification.
Creating an advanced time-series forecasting system using deep learning to predict market trends and optimize investment strategies.
Developing techniques to optimize deep learning models for deployment on edge devices with limited computational resources.
Expert AI/ML solutions tailored to meet your business needs and drive innovation.
Designed custom ML and Deep Learning solutions using predictive analytics, neural networks, and pattern recognition for business problems.
Interactive AI-powered dashboards and tools using Flask User-friendly web interfaces to make your AI models accessible and actionable.
Modern websites built with WordPress + Elementor Fast, responsive, and SEO-optimized sites perfect for businesses, blogs, and landing pages.
Inquire about my services or get in touch for collaborations and opportunities!
Interested in my services? Select a service below and send me a message. I'm excited to discuss how I can help with your AI/ML needs.