I am a results-driven AI/ML professional with 4+ years of experience building, deploying, and optimizing scalable solutions across NLP, computer vision, and predictive analytics. I specialize in turning data into actionable insights using Python, TensorFlow, PyTorch, and a broad MLOps toolkit, with hands-on exposure to big data platforms like Spark, Databricks, Snowflake, and cloud services.
I’ve delivered end-to-end AI solutions, from predictive maintenance and anomaly detection to recommendation systems and intelligent automation—driving measurable business impact, reducing downtime, and improving efficiency. I thrive in collaborative, Agile environments, mentor peers, and champion best practices in model optimization, feature engineering, and robust deployment.
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