Neural Networks, Image Processing, Deep learning techniques, Cloud AI services, Generative AI models, AI applications

Python, AWS, LangChain, LLMs, pgvector, AI Agents, Chatbots, Copilot, Pinecone, Anthropic, Azure OpenAI, Vector Databases, RAG, OpenAI, Weaviate, Prompt Engineering

Deep Learning, Spring Boot, Natural Language Processing, Java, DevSecOps, AI ML, Github, Image Processing, Scripting, Containers, Machine Learning, Kubernetes, Apis, GitHub Actions, Google BigQuery, cloud-native platforms, CI CD, reinforcement learning, generative AI, intelligent process automation

Docker, Pyspark, Python Programming, Kubernetes, Deploying ML models into production, ML algorithms and statistics, AWS or GCP cloud

snowflake , prophet , Apis, Azure Sql, Tensorflow, Git, Pytorch, Arima, Version Control Systems, Python, LSTM, Temporal Fusion Transformer, Scikit-learn, reinforcement learning, DeepAR, Databricks Delta

test automation, Tensorflow, Devops, Nltk, Pytorch, Docker, Python Programming, Keras, Kubernetes, Strong statistical quantitative skills, CI CD, Cloud experience – AWS Azure GCP, End-to-end data pipelines, spaCy, AI ML Supervised Unsupervised GenAI LLMs NLP, API design for real-time scalable applications, Linux systems, Database experience – Postgres Redshift MSSQL, Data integration across logs APIs files and databases

Vertex AI (Google), Pytorch, Boost, Python, Gcp, Tensorflow, Devops, Prometheus, Terraform, Spark, Sci-Kit Learn, LangChain Development, Gemini

Tensorflow, Spark, Kafka, Machine Learning, MLops, Deep Learning, Pytorch, Kubernetes, Python, XGBoost, Docker, Nlp, scikit-learn, ONNX, Airflow, MLflow, AI model optimization, anomaly detection, time series forecasting, Cv, Recommendation systems, TensorFlow Serving

Tensorflow, Performance Tuning, Opencv, Rest Apis, Deep Learning, Ocr, Pytorch, Machine Learning Algorithms, Google Cloud, AWS, Python, Azure, Docker, Generative AI, LLMs, feature engineering, data preprocessing, Tracking, parallelization, multimodal models, RAG, YOLO, Segmentation, ML Ops, GPU optimization, TensorRT, ONNX, distributed low-latency data pipelines, RTSP streaming video pipelines, Classification, detection, multi-object detection