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I’m an AI student passionate about turning data into useful insights and practical solutions.
My current skills include:
• Python
• NumPy & Pandas
• Scikit-learn
• Matplotlib & Seaborn
• Streamlit
• Data Cleaning & Preprocessing
• Exploratory Data Analysis (EDA)
• Data Visualization
• Machine Learning
• Statistical Analysis
• Excel & Data Analysis
I enjoy working with real-world datasets, finding patterns, creating meaningful visualizations, and building machine learning solutions.
I’m currently looking to work on real-world projects, collaborate with businesses and other professionals, and continue growing as an AI/Data professional.
If you have a dataset, analytics problem, dashboard idea, or machine learning project, I’d be happy to connect and see how I can help.
🚀 Always learning. Always building.
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
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The cheapest AI request is the one that never reaches a frontier model.
Routing gets the least attention of the four cost layers and it's the one I'd ship first. RouteLLM, out of UC Berkeley and LMSYS, reports over 2x cost reduction on benchmarks with no drop in answer quality. In production you can usually beat a trained router, because you already know things a benchmark can't.
Prompt caching pays just as fast, and the underrated half isn't the discount. Cache reads don't count against your input-token-per-minute ceiling, so a good breakpoint buys throughput headroom too.
Semantic caching I'd scope to a bounded question space and nothing wider.
https://www.duskolicanin.com/blog/ai-saas-cost-control-caching-routing-2026
#AI #SaaS #LLM #SoftwareEngineering
Body anatomy completely generated using Ai tools
