metaheuristics , vehicle routing , Model serving, Network Flow, stochastic optimization, Operations Research, Optimization methodologies, Experimentation infrastructure, AI LLM tools

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

Sql, Tensorflow, Deep Learning, Pytorch, Python, content-based techniques, LLMs, transfer learning, slate optimization, reinforcement learning, embedding techniques, bandits, recommendation system algorithms, multi-task learning, candidate generation, long-term reward modeling, transformer architectures, hybrid approaches, Experimental Design, ranking, RLHF reward modeling, collaborative filtering

No Sql, Tableau, Python

Recommender Systems, Ml, Gpu, Cpu, Machine Learning, Deep Learning, Computer Vision, LLMs, statistical modelling techniques, Bayesian models, event driven architecture, Statistics, Optimization, deep neural networks, generative AI

Unix, Sql, Shell scripting, Hive, Java, Python, Data Visualization, Linux, R

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