Teradata
An ML engineer specializing in large language models and generative AI, with expertise in transformer architectures, scalable training, parameter-efficient fine-tuning, and production deployment of AI systems.
Large Language Models, Agentic AI, Deep Learning, Natural Language Processing, Computer Vision, Reinforcement Learning, Generative AI, Multimodal Learning
LangChain, LangGraph, PyTorch, TensorFlow, Keras, Scikit-learn, Pandas, NumPy, HuggingFace, JAX,
Python, SQL, C, C++, Go
Docker, Kubernetes, Model Deployment, MLflow, Airflow, CI/CD, Model Monitoring, Amazon SageMaker, Google Cloud Vertex AI, Azure ML
Distributed Systems, Model Serving, System Design, Data Pipelines, REST APIs, gRPC, Apache Spark, Kafka
P. Sharma et. al., "Modelling Behaviour of Sensors using a Novel β-divergence based Adaptive Filter," in IEEE Sensors Journal.
P. Sharma et. al., "A Novel Family of Robust Incremental Adaptive Algorithms for Distributed Estimation based on Bregman Divergence," in IEEE Sensors Letters.
P. Sharma et. al., "Development of Amari Alpha Divergence based Gradient-Descent Least Mean Square Algorithm," in IEEE Transactions on Circuits and Systems II: Express Briefs.