
I’m a Machine Learning Engineer with expertise in developing predictive models, designing end-to-end ML pipelines, and leveraging data to drive impactful solutions. My work spans across machine learning, deep learning, natural language processing, and big data technologies, where I combine strong technical skills with a problem-solving mindset.
What I do best:
Building and deploying scalable ML models using frameworks like PyTorch, TensorFlow, XGBoost, and LightGBM.
Working with large datasets (structured & unstructured) and applying advanced analytics to extract insights.
Applying AI to real-world domains such as traffic prediction, market analysis, and decision support systems.
Collaborating in cross-functional teams and contributing to competitive programming & research projects.
Beyond technical work, I’m passionate about innovation that reduces environmental footprint and creates solutions for smarter societies.