>_
ServicesServices
Data Analytics
Advanced analytics using pandas, SQL, and visualization tools to uncover hidden patterns in your data.
> df.apply(lambda x: '🪄 magic' if x.isnull() else x)
Machine Learning
Classical ML solutions using scikit-learn to turn your data into predictions and insights.
> model.predict(['coffee', 'code']) # → ['success']
Computer Vision
Deep learning solutions for image and video analysis using PyTorch and OpenCV.
> if not torch.cuda.is_available(): raise CoffeeException
GenAI & LLMs
Custom LLM solutions and RAG applications that bring AI magic to your business.
> prompt.replace('impossible', 'challenge_accepted')
MLOps
End-to-end ML pipelines with monitoring, versioning, and automated deployment.
> git commit -m 'It works! 🎉 Don't ask how.'
Cloud Architecture
Scalable cloud solutions for data and ML workloads on AWS/GCP/Azure.
> Error: Success - Cloud works in mysterious ways
Research & POCs
Rapid prototyping and validation of innovative ML/AI solutions.
> hypothesis.test(p_value < 0.05) # fingers_crossed
Process Automation
Intelligent automation combining ML with traditional automation tools.
> while True: make_coffee() if brain.needs_boost()