I am a Machine Learning Engineer with 5+ years of experience delivering scalable AI solutions across financial and large-scale enterprise environments at Meta and Citi Bank. I am skilled in Python, PyTorch, TensorFlow, and Transformers, with hands-on expertise in LLM fine-tuning (LoRA, PEFT), retrieval-augmented generation (RAG), and multimodal embedding systems.
I have built ranking and recommendation models using transformer-based architectures (T5, DLRM++), developed fraud detection and credit risk ML systems under Basel III and IFRS 9, and led MLOps automation with Airflow, MLflow, and Kubernetes. I optimize real-time inference with Triton, ONNX, and TorchServe, work with Kafka, Spark, and PostgreSQL for data engineering, and emphasize interpretability and Responsible AI across production systems.
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