Hey, I'm Sachin Maurya
I build AI & ML models that solve real-world problems. Passionate about deep learning, data science, and transforming complex datasets into actionable insights.
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I build AI & ML models that solve real-world problems. Passionate about deep learning, data science, and transforming complex datasets into actionable insights.
AI Engineer & ML Specialist
I'm an AI engineer with a passion for building intelligent systems that make a real difference. With expertise in machine learning, deep learning, and data science, I specialize in transforming complex problems into scalable solutions. I stay at the forefront of AI innovation by continuously learning from cutting-edge research, experimenting with modern frameworks, and collaborating on impactful projects that push the boundaries of what's possible.
Focused across AI, data science, and modern developer tooling to build useful, production-ready solutions.
Dev Sanskriti Vishwavidyalaya, Haridwar, Uttarakhand
2025-Pursuing
Diving deep into ML algorithms, neural networks, and how to work with massive datasets.
Dr. Ram Manohar Lohia awadh University, Faizabad, Uttar Pradesh
2022 - 2025
Learned the fundamentals - data structures, algorithms, databases, and got introduced to AI. CGPA: 7.4
Indirapuram Public School, Nawabganj, Gonda (Uttar Pradesh)
2020 - 2022
Build the strong Foundations of Python Fundamentals with OOPs Concepts
S.M.D.R.S.D. Sr. Sec. School, Pathankot(Punjab)
2018 - 2020
Build the strong Foundations in the High school Mathematics and Sciences
A calculator app with user authentication and data persistence using Flask and MongoDB. Built with Flask backend for secure authentication and MongoDB for storing user data and calculation history.
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Created a CNN for image classification with 92% accuracy using TensorFlow. Used data augmentation and transfer learning to improve the model without starting from scratch.
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Built an NLP model using BERT to classify sentiment in text. Got 88% F1-score across multiple sentiment categories. Works in real-time which is pretty cool.
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Used LSTM networks to predict stock prices. Dealt with time series data, normalized everything properly, and built a model that actually works on unseen data.
Created an interactive dashboard with Streamlit and Plotly to visualize sales data. Shows trends, geographic patterns, and key metrics that actually help business decisions.
The Abductive Event Reasoning (AER) task is framed as a multiple-choice question answering problem, aiming to evaluate large language models' ability to identify the most plausible direct cause of a real-world event based on textual evidence.
Whether you have an exciting project, want to explore AI/ML opportunities, or discuss technical ideas - I'd be delighted to hear from you. Let's build something impactful together!