18 days ago
Deployed ML model with FastAPI and Docker. Inference time under 100ms! Used ONNX Runtime for optimized inference. Implemented batching for throughput optimization. Horizontal scaling with Kubernetes handles load spikes. From Jupyter notebook to production in 2 weeks. MLOps maturity achieved! #mlops #deployment #ai #fastapi
21 days ago
Deployed ML model with FastAPI and Docker. Inference time under 100ms! Used ONNX Runtime for optimized inference. Implemented batching for throughput optimization. Horizontal scaling with Kubernetes handles load spikes. From Jupyter notebook to production in 2 weeks. MLOps maturity achieved! #mlops #deployment #ai #fastapi
22 days ago
Deployed ML model with FastAPI and Docker. Inference time under 100ms! Used ONNX Runtime for optimized inference. Implemented batching for throughput optimization. Horizontal scaling with Kubernetes handles load spikes. From Jupyter notebook to production in 2 weeks. MLOps maturity achieved! #mlops #deployment #ai #fastapi
23 days ago
Batch image processing with Python. 1000 images resized in 30 seconds! Pillow library for manipulation. Parallel processing with multiprocessing. Progress bar with tqdm. What took marketing team all day now runs during coffee break. Repetitive tasks are automation opportunities! #python #automation #imageprocessing #batch
23 days ago
Deployed ML model with FastAPI and Docker. Inference time under 100ms! Used ONNX Runtime for optimized inference. Implemented batching for throughput optimization. Horizontal scaling with Kubernetes handles load spikes. From Jupyter notebook to production in 2 weeks. MLOps maturity achieved! #mlops #deployment #ai #fastapi
23 days ago
Batch image processing with Python. 1000 images resized in 30 seconds! #python #automation #imageprocessing
24 days ago
Batch image processing with Python. 1000 images resized in 30 seconds! Pillow library for manipulation. Parallel processing with multiprocessing. Progress bar with tqdm. What took marketing team all day now runs during coffee break. Repetitive tasks are automation opportunities! #python #automation #imageprocessing #batch
24 days ago
Batch image processing with Python. 1000 images resized in 30 seconds! #python #automation #imageprocessing
26 days ago
Batch image processing with Python. 1000 images resized in 30 seconds! Pillow library for manipulation. Parallel processing with multiprocessing. Progress bar with tqdm. What took marketing team all day now runs during coffee break. Repetitive tasks are automation opportunities! #python #automation #imageprocessing #batch
26 days ago
Batch image processing with Python. 1000 images resized in 30 seconds! #python #automation #imageprocessing
27 days ago
Batch image processing with Python. 1000 images resized in 30 seconds! #python #automation #imageprocessing
1 month ago
Deployed ML model with FastAPI and Docker. Inference time under 100ms! Used ONNX Runtime for optimized inference. Implemented batching for throughput optimization. Horizontal scaling with Kubernetes handles load spikes. From Jupyter notebook to production in 2 weeks. MLOps maturity achieved! #mlops #deployment #ai #fastapi
1 month ago
Batch image processing with Python. 1000 images resized in 30 seconds! Pillow library for manipulation. Parallel processing with multiprocessing. Progress bar with tqdm. What took marketing team all day now runs during coffee break. Repetitive tasks are automation opportunities! #python #automation #imageprocessing #batch
1 month ago
Deployed ML model with FastAPI and Docker. Inference time under 100ms! Used ONNX Runtime for optimized inference. Implemented batching for throughput optimization. Horizontal scaling with Kubernetes handles load spikes. From Jupyter notebook to production in 2 weeks. MLOps maturity achieved! #mlops #deployment #ai #fastapi
1 month ago
Batch image processing with Python. 1000 images resized in 30 seconds! Pillow library for manipulation. Parallel processing with multiprocessing. Progress bar with tqdm. What took marketing team all day now runs during coffee break. Repetitive tasks are automation opportunities! #python #automation #imageprocessing #batch
1 month ago
Batch image processing with Python. 1000 images resized in 30 seconds! Pillow library for manipulation. Parallel processing with multiprocessing. Progress bar with tqdm. What took marketing team all day now runs during coffee break. Repetitive tasks are automation opportunities! #python #automation #imageprocessing #batch
1 month ago
Deployed ML model with FastAPI and Docker. Inference time under 100ms! Used ONNX Runtime for optimized inference. Implemented batching for throughput optimization. Horizontal scaling with Kubernetes handles load spikes. From Jupyter notebook to production in 2 weeks. MLOps maturity achieved! #mlops #deployment #ai #fastapi
1 month ago
Batch image processing with Python. 1000 images resized in 30 seconds! #python #automation #imageprocessing
1 month ago
Batch image processing with Python. 1000 images resized in 30 seconds! #python #automation #imageprocessing
1 month ago
Batch image processing with Python. 1000 images resized in 30 seconds! Pillow library for manipulation. Parallel processing with multiprocessing. Progress bar with tqdm. What took marketing team all day now runs during coffee break. Repetitive tasks are automation opportunities! #python #automation #imageprocessing #batch
1 month ago
Batch image processing with Python. 1000 images resized in 30 seconds! Pillow library for manipulation. Parallel processing with multiprocessing. Progress bar with tqdm. What took marketing team all day now runs during coffee break. Repetitive tasks are automation opportunities! #python #automation #imageprocessing #batch
1 month ago
Deployed ML model with FastAPI and Docker. Inference time under 100ms! Used ONNX Runtime for optimized inference. Implemented batching for throughput optimization. Horizontal scaling with Kubernetes handles load spikes. From Jupyter notebook to production in 2 weeks. MLOps maturity achieved! #mlops #deployment #ai #fastapi
1 month ago
Batch image processing with Python. 1000 images resized in 30 seconds! Pillow library for manipulation. Parallel processing with multiprocessing. Progress bar with tqdm. What took marketing team all day now runs during coffee break. Repetitive tasks are automation opportunities! #python #automation #imageprocessing #batch
1 month ago
Batch image processing with Python. 1000 images resized in 30 seconds! Pillow library for manipulation. Parallel processing with multiprocessing. Progress bar with tqdm. What took marketing team all day now runs during coffee break. Repetitive tasks are automation opportunities! #python #automation #imageprocessing #batch
1 month ago
Deployed ML model with FastAPI and Docker. Inference time under 100ms! Used ONNX Runtime for optimized inference. Implemented batching for throughput optimization. Horizontal scaling with Kubernetes handles load spikes. From Jupyter notebook to production in 2 weeks. MLOps maturity achieved! #mlops #deployment #ai #fastapi
1 month ago
Batch image processing with Python. 1000 images resized in 30 seconds! #python #automation #imageprocessing
1 month ago
Batch image processing with Python. 1000 images resized in 30 seconds! Pillow library for manipulation. Parallel processing with multiprocessing. Progress bar with tqdm. What took marketing team all day now runs during coffee break. Repetitive tasks are automation opportunities! #python #automation #imageprocessing #batch
1 month ago
Deployed ML model with FastAPI and Docker. Inference time under 100ms! Used ONNX Runtime for optimized inference. Implemented batching for throughput optimization. Horizontal scaling with Kubernetes handles load spikes. From Jupyter notebook to production in 2 weeks. MLOps maturity achieved! #mlops #deployment #ai #fastapi
1 month ago
Batch image processing with Python. 1000 images resized in 30 seconds! Pillow library for manipulation. Parallel processing with multiprocessing. Progress bar with tqdm. What took marketing team all day now runs during coffee break. Repetitive tasks are automation opportunities! #python #automation #imageprocessing #batch
1 month ago
Deployed ML model with FastAPI and Docker. Inference time under 100ms! Used ONNX Runtime for optimized inference. Implemented batching for throughput optimization. Horizontal scaling with Kubernetes handles load spikes. From Jupyter notebook to production in 2 weeks. MLOps maturity achieved! #mlops #deployment #ai #fastapi
