Android, Cloud Computing, Machine Learning, Python, Product Engineering, Genetics, Conceptualization, Operations Research, Analytics

Hadoop, Natural Language Processing, Sql, Google Cloud, Computer Vision, Spark, Python, AWS, GANs, fine-tuning, multimodal generation, Transformers, LLMs, multimodal learning, perceptual quality metrics, deep learning architectures, prompt engineering, generative tasks, R, user-in-the-loop testing, ML evaluation techniques, diffusion models

Predictive Modeling, Machine Learning, Svm, Clustering, Deep Learning, Statistical Analysis, Python, Forecasting, Random Forests, Regression, R, Boosting, Text Analysis, Tree

data engineering , Sql, Tensorflow, Pytorch, Spark, Keras, Azure, Python, AWS, ML algorithms, Scikit-learn, R, GenAI frameworks

causal inference , Scipy, Regression Analysis, Hypothesis Testing, Pandas, Numpy, Databricks, Clustering, Python, statistical methodology, scikit-learn, Simulation, stats models, Bayesian Methods, Survival Analysis, Experimental Design, time-series analysis

Tensorflow, Pytorch, Python, Graphql, Neo4j, graph-based data modeling, PQ, metadata filtering, Nemotron, natural language query answering, FAISS-based vector indexes, Retrieval-Augmented Generation pipelines, vector databases, HNSW, QLoRA, document chunking, LoRA, IVF, Llama variants, Knowledge Graphs, parameter-efficient fine-tuning, Mistral, Phi

Sql, Natural Language Processing, Hadoop, Google Cloud, AWS, Python, Computer Vision, Spark, ML evaluation techniques, LLMs, Transformers, GANs, fine-tuning, deep learning architectures, perceptual quality metrics, diffusion models, R, generative tasks, multimodal learning, user-in-the-loop testing, prompt engineering

Apache Spark, Python/R/SQL, anomaly detection, Feature Engineering, Predictive Maintenance, AWS/Databricks