About Me
I am an enthusiastic AI Engineer with years of hands-on experience in building intelligent systems, data-driven solutions, and smart web integrations.
I create smart AI-driven systems that are innovative, scalable, and impactful.
My expertise spans key areas such as data preprocessing, feature engineering, model development, evaluation, and deployment. I work confidently with tools like Python, scikit-learn, TensorFlow, Pandas, and FastAPI, and I’m experienced in deploying data-driven applications using modern frameworks like Streamlit and Flask.
I focus on delivering solutions that are not only technically sound but also aligned with business objectives. Whether it’s optimizing performance, enhancing user experience, or ensuring model interpretability, I bring a problem-solving mindset and collaborative approach to every project. You’re never limited to one direction—I offer flexible strategies backed by data and industry best practices
What I Do
From understanding your data challenges to designing AI-driven solutions and deploying them into real-world applications, I handle every step of the machine learning lifecycle with precision and purpose.
AI & MACHINE LEARNING
I design and build intelligent systems that learn from data and make smart decisions—helping businesses automate processes, gain insights, and improve outcomes through advanced machine learning techniques.
DATA ANALYSIS & VISUALIZATION
I turn raw data into clear, actionable insights using tools like Python, Pandas, and Matplotlib. From dashboards to reports, I help businesses understand their data and make informed decisions.
MODEL DEPLOYMENT & INTEGRATION
I specialize in deploying machine learning models into real-world applications using FastAPI, Streamlit, and Flask. Whether it’s a web app, dashboard, or API, I ensure your AI solution is user-friendly and production-ready.
Skills
My Experience
07/2024 – Present
DevFum
AI Engineer
I design and develop intelligent AI systems and machine learning solutions to solve real-world problems. My work spans computer vision, natural language processing, speech recognition, and predictive analytics, where I build end-to-end pipelines for data processing, model training, and deployment. I focus on creating scalable, reliable, and efficient AI solutions that drive automation and business impact.
02/2024-05/2024
Brackets Pvt Ltd
ML Engineer Intern
Performed data preprocessing, cleaning, and feature engineering on large
datasets.
Developed and optimized machine learning models using Scikit-learn,
TensorFlow, and PyTorch.
Implemented deep learning, NLP, and time series forecasting techniques.
Conducted model evaluation, hyperparameter tuning, and cross-validation to
improve accuracy