tokenization , Tensorflow, Pytorch, Docker, Python, AWS, Gcp, Azure, Kubernetes, LLM-based systems, embeddings, pgvector, RAGAS, Pinecone, Vector Databases, transformer architectures, Agentic frameworks, semantic search, TruLens, Cloud MLOps, LangChain, CrewAI, deep learning frameworks, AutoGen, RAG, Milvus, Weaviate, LlamaIndex

Sql, Gcp, Docker, Predictive Modeling, Spark, Databricks, Clustering, Azure, Kubernetes, Python, AWS, LangChain, embeddings, RAG systems, vector databases, Classification, prompt engineering, LangGraph, recommendation systems, LLM applications, ranking models

Pandas, Docker, Pyspark, Spark, Databricks, FastAPI, Python, scikit-learn, Delta Lake, MLflow

Algorithms, Unix, Machine Learning, Version Control, Stl, Deep Learning, Oop, Numpy, Git, Pandas, Linux, data structures, Python, time-series forecasting, Jupyter Notebook, data science pipelines, PEP8

Machine Learning, Python, R, Statistics

Python, Machine Learning, R, Statistics

Machine Learning, Gcp, Docker, Natural Language Processing, Statistical Modelling, Sql, Python, R

telemetry , Tensorflow, MLops, Pytorch, Opencv, ROS, Python, Computer Vision, SLAM, ROS 2, ArduPilot, Data Preprocessing, lidar, Multi-Sensor Fusion, 3D Perception, NVIDIA Jetson, TensorRT, PX4, Active Learning, ONNX, radar, IMU

Pandas, Tensorflow, Numpy, Ffmpeg, Opencv, MLops, AWS, Pytorch, Python, Azure, Gcp, scikit-image, Detectron, Scikit-learn, DeepSpeech, YOLO, Librosa