3 months 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
2 months ago
GPT-4 API integration complete. Our chatbot now handles 80% of support queries automatically! Implemented conversation memory with vector embeddings. The prompt engineering took longer than the code. Fallback to human agents works seamlessly. Support team can focus on complex issues now! #gpt4 #chatbot #ai #customersupport
3 months ago
GPT-4 API integration complete. Our chatbot now handles 80% of support queries automatically! Implemented conversation memory with vector embeddings. The prompt engineering took longer than the code. Fallback to human agents works seamlessly. Support team can focus on complex issues now! #gpt4 #chatbot #ai #customersupport
25 days ago
MLflow for experiment tracking. Finally, reproducible machine learning experiments! Every hyperparameter, metric, and artifact is logged. Model registry handles versioning and staging. Comparing runs visually made hyperparameter tuning efficient. No more 'which model was that?' moments! #mlflow #mlops #datascience #experimenttracking
3 months ago
Time series forecasting with Prophet. Sales predictions are now 40% more accurate! Handles seasonality and holidays automatically. Added external regressors for marketing campaigns. Uncertainty intervals help with inventory planning. Business stakeholders finally trust the forecasts! #timeseries #forecasting #datascience #prophet
3 months ago
Anomaly detection with autoencoders. Fraud detection accuracy improved by 25%! The reconstruction error approach works beautifully for our use case. Combined with rule-based system for explainability. Real-time scoring at 10,000 transactions per second. Saved millions in prevented fraud! #deeplearning #anomalydetection #ml #fraud
1 month ago
Image classification with transfer learning. ResNet50 backbone + custom head = 98% accuracy! Data augmentation was crucial for our small dataset. Gradual unfreezing of layers improved results significantly. The model now identifies plant diseases from photos. Helping farmers with AI! #deeplearning #transferlearning #ai #agriculture
2 months ago
Reinforcement learning for game AI. The agent learned to beat the game in 2 hours! Used PPO algorithm with curriculum learning. Reward shaping was the hardest part. The emergent behaviors are fascinating - strategies I never thought of! Now applying RL to inventory optimization. #reinforcementlearning #gameai #ml #ppo
3 months ago
Built a semantic search engine with embeddings. Search relevance improved dramatically! Using sentence-transformers for encoding. FAISS for efficient similarity search at scale. Handles typos and synonyms naturally. Users find what they need 60% faster than keyword search! #semanticsearch #embeddings #ai #searchengine
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
1 month ago
Speech-to-text with Whisper API. Transcription quality is better than human in many cases! Processing meeting recordings automatically. Speaker diarization identifies who said what. Summaries generated with GPT-4. Our team saves 5 hours per week on meeting notes. AI assistant for the win! #whisper #speechtotext #ai #productivity
4 months ago
OpenAI function calling makes structured outputs easy. No more prompt engineering for JSON! Defined schema for our API responses. The model reliably returns valid, typed data. Error handling is much cleaner. Building AI agents became so much more practical. Game changer for LLM applications! #openai #gpt #ai #functioncalling
3 months ago
AI ethics matter! Implemented bias detection in our hiring algorithm. Found significant gender bias in the initial model. Retrained with balanced data and fairness constraints. Regular audits are now part of our process. Responsible AI isn't optional - it's essential for trust! #aiethics #fairness #machinelearning #responsibleai
30 days ago
LangChain + vector databases = powerful RAG applications. Document Q&A is now incredibly accurate! Using Pinecone for vector storage with OpenAI embeddings. Chunking strategy was crucial - 500 tokens with 50 token overlap works best. Users can query 10,000 documents in natural language! #langchain #rag #llm #vectordb
