🤖 Building intelligent systems that learn, adapt, and transform the world.

• 🌟 AI / ML Engineer I'm an aspiring AI Engineer focused on building real-world intelligent systems using Machine Learning, Deep Learning, and Generative AI. With hands-on experience in developing and deploying ML models, I've built projects including a Fake Review Detection System using NLP techniques and a Spam Detection System achieving over 90% accuracy. I specialize in working with real-world datasets from Kaggle and UCI repositories, and I'm skilled at deploying models through Flask APIs to create practical, usable applications. My core technical expertise spans Python, Machine Learning, Deep Learning, Natural Language Processing, Generative AI, MLOps, Flask, and scikit-learn. Currently, I'm exploring MLOps practices to build scalable, production-ready AI systems that bridge the gap between experimentation and real-world deployment. I've strengthened my foundation through active open-source contributions via GSSoC and by completing certifications in Data Engineering and AWS DevOps. This combination of practical project experience, open-source involvement, and continuous learning has prepared me to contribute meaningfully to AI/ML teams. I understand the full development lifecycle—from data preprocessing and model training to API deployment and system optimization. I'm actively seeking internships and entry-level opportunities in AI/ML where I can apply my skills, learn from experienced professionals, and contribute to innovative projects. Let's connect and collaborate on building impactful AI solutions that solve real-world challenges.

• 🧬 Deep Learning & Neural Networks
• 📊 Data Science & Statistical Modeling
• 🌐 NLP & Large Language Models
• 👁️ Computer Vision & Image Processing

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