Machine Learning, Personalization, Sql, Spark, Databricks, Rest Apis, Python, MLops, AWS Cloud platforms, Microservice-based model serving, Data Processing, collaborative filtering, Feature engineering, Recommendation Systems, Model training and evaluation, Ranking algorithms, ML pipelines, Batch inference, Hybrid recommendation systems

Sql, Devops, Rest API Development, Cloud, FastAPI, Python, Model Context Protocol, Knowledge Management, PromptFlow, MLflow, Agentic AI LLM Platforms, AI Evaluation Frameworks, RAG, MCP

Physics-informed Neural Networks (PiNNs), Machine Learning, Scipy, Neural Networks, Deep Learning, Tensorflow, Numpy, Pandas, Pytorch, Surrogate Modeling, Relational Databases, Gaussian Processes, Hybrid Physics-ML Models, Gradient-based Optimization, Chained Model Pipelines, Automatic Differentiation Tools, Multi-fidelity Modelling, reinforcement learning

Github, BigQuery, Sql, Pytorch, Gcp, Docker, Opencv, Kubernetes, Python, Scikit-learn, dbt, Jupyter

data engineering , Apis, Containers, Kafka, Cloud Engineering, Microservices, Devops, Kubernetes, Python, Generative AI, Event Streaming, AI Platform Engineering, Infrastructure-as-Code

Tensorflow, Azure ML, Pytorch, Api Integration, Python, model observability, LangChain, GCP Vertex AI, AWS SageMaker, Hugging Face, data ingestion

speech enhancement , Arm, C, Deep Learning, Python, Acoustic echo cancellation, RISC-V NPUs, Embedded platforms, Quantization, Training-aware quantization, beamforming, Audio ML, Post-training quantization, Audio Signal Processing, Noise suppression, Tensilica DSP, Mixed precision inference

triton , Bash Scripting, Tensorflow, Etl, Python, Pytorch, Linux OS CLI, Kserve, Kubeflow, Kuberay, Nvidia GPUs, Data Analysis, Nvidia AI tool suite