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DevOps & Cloud Engineer with 4 years of hands-on experience in AWS, Kubernetes, Terraform, Docker and CI/CD. I specialize in cloud infrastructure automation, Infrastructure as Code, containerization, deployment pipelines, monitoring and production environments. I help businesses automate deployments, improve cloud infrastructure and build reliable DevOps workflows.
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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Enterprise RAG AI: Private Doc Intelligence
A fast-growing B2B software firm needed a secure, enterprise-grade Retrieval-Augmented Generation (RAG) system to query thousands of confidential internal documents (legal contracts, technical architecture specs, Notion pages, and employee SOPs) in real time without third-party data leakage.
Key Challenges:
High hallucination risk and irrelevant context retrieval using standard keyword search.
Managing multi-format files (scanned PDFs, tables, markdown) with strict access control based on user hierarchy.
Technical Implementation & Solution:
• Engineered an automated ingestion pipeline in Python with LlamaIndex and LangChain for semantic chunking and metadata preservation.
• Integrated a hybrid vector search architecture pairing dense embeddings (OpenAI text-embedding-3) with sparse BM25 indexing in Qdrant.
• Added a cross-encoder re-ranking layer (Cohere Re-ranker) to prune low-relevance chunks, reducing API token costs by 40%.
• Built robust Role-Based Access Control (RBAC) via FastAPI endpoints, ensuring departmental data isolation.
Results & Impact:
• Dropped internal information retrieval time from 20 minutes to under 4 seconds.
• Attained 98% factual precision with traceable in-line page citations.
• Full on-prem Docker deployment ensuring 100% private data security.
📊 Your data has more value than you think.
I help businesses turn raw data into clear insights, useful dashboards, and better decisions using Excel, SQL, Python, and Tableau.
With hands-on experience working with operational data at FedEx and building financial, sales, and predictive analytics projects, I understand how to turn data into practical business solutions.
I can help with:
✅ Data cleaning & analysis
✅ Excel dashboards & reports
✅ SQL analysis
✅ Python data analysis
✅ Tableau dashboards
✅ Financial & sales analytics
✅ KPI reporting
Have data but don't know what it's telling you? Let's turn it into value. 📈
#DataAnalytics #DataAnalyst #Excel #SQL #Python #Tableau #BusinessIntelligence #DataVisualization #FinancialAnalysis
VoraX is one knowledge platform: the VoraX Brain, with products built on top of it.
The Brain turns your documents and data into a connected knowledge graph — so AI can understand relationships, follow rules, retrieve evidence, and show where every answer came from.
What runs on the Brain:
• Doc Intelligence — Arabic & English PDFs, scanned or digital, parsed page by page into structured knowledge
• Ask Your Documents — ask questions across documents and tables, with the exact source page
• Arabic Books — ask an Arabic book library questions and get the page behind the answer
• Model Gateway — one endpoint for your AI models, with budgets, routing, and sensitive-data masking
• Agents — agents that operate on the same knowledge layer, with every step traced and auditable
Deploy it in your own cloud. Choose the models you want. Keep your data under your control.
A 74-second look at four of them:
