AI/ML Engineer at Cybage Software

Developed and deployed ML/DL models using Python, TensorFlow, PyTorch, Keras, and Scikit-Learn, improving prediction accuracy by 20%. Built end-to-end data pipelines (Pandas, NumPy, SQL, Apache Spark, Airflow) processing 5M+ records and reducing preparation time by 45%. Designed NLP solutions including text classification, sentiment analysis, and information extraction using SpaCy, NLTK, and Transformer models, reducing manual analysis effort by 60%. Developed predictive analytics, recommendation systems, and anomaly detection models, improving business decision accuracy by 25%. Built and deployed scalable AI/ML services using FastAPI, Flask, Docker, Kubernetes, AWS, and Azure, reducing deployment time by 40%. Implemented MLOps workflows using MLflow, model monitoring, and automated retraining pipelines, reducing maintenance effort by 35%. Collaborated with cross-functional teams to deliver 15+ production AI/ML applications, improving operational efficiency and business outcomes.