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Built a "Security First" culture that accelerated sales cycles for a global data leader.
The Challenge: High-growth tech firms often face "sales friction" when enterprise legal and security teams stall contracts due to complex compliance concerns.
The Solution: Leveraged my experience to design and execute customer trust engagements. I effectively translated complex security concepts into clear, actionable assurance documentation for key stakeholders.
The Result: Optimized internal processes to streamline security assurance, allowing Go-To-Market teams to close deals faster by proactively addressing customer security requirements.
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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I took that old saying "That person can sell ice to Eskimos and made it a commercial using kittl as my starting point then used Filmora to put it all together.
I can tell how much effort went into this
Directed, tested, ready to generate. Check out our growing library of video gen prompts organized by motion type — each one structured using the Direction/Camera/Action/Effects framework so you can replicate and adapt with confidence!
https://kittl.notion.site/videogenprompts
A structured prompt library for video gen is exactly what we all needed. The Direction/Camera/Action/Effects framework is genius!
Built a Multimodal RAG system live on stream. From zero to working CLI in one session.
The goal: a terminal-based RAG pipeline using Haystack, Gemini Multimodal Embeddings, and Flash Lite, querying complex research PDFs through a conversational loop.
Three real engineering lessons from the build:
Chunking isn't optional. Raw PDFs exhaust token limits instantly. 6-page splits solved it.
InMemoryDocumentStore works for prototyping, but re-vectorizes on every launch. Persistent DBs like Weaviate are the next step.
Haystack's pipeline is strict. Mis-wiring a retriever to a generator crashes the loop immediately. API contracts matter.
Result: a CLI that maps user queries to the top 4 semantic chunks in RAM and returns grounded, non-hallucinated answers from your own documents.
Every mistake, every fix, on camera.
"Ugurcan Uzunkaya this is seriously impressive! 🔥 Building a full RAG pipeline live on stream in one session is no joke!
That chunking lesson is so real — token limits hit different when you're working with raw PDFs.
And the Haystack pipeline point about API contracts is...
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