Simon R.
AI Research Engineer
𝐋𝐞𝐭’𝐬 𝐛𝐮𝐢𝐥𝐝 𝐬𝐦𝐚𝐫𝐭 𝐀𝐈—𝐬𝐜𝐚𝐥𝐞 𝐟𝐚𝐬𝐭𝐞𝐫, 𝐰𝐨𝐫𝐤 𝐬𝐦𝐚𝐫𝐭𝐞𝐫. I don't just build "wrappers" around OpenAI; I engineer scalable, enterprise-grade AI systems. I help organizations eliminate inefficiency with intelligent automation—transforming raw data into decisions that drive growth. With 4+ years in Generative AI, Machine Learning and Deep Learning, I specialize in moving beyond simple prototypes to robust production environments. My most recent success involved migrating a vector-based RAG system to a reasoning-based architecture (PageIndex), achieving 95% accuracy and 0% hallucinations for 1,000+ users. 𝐇𝐨𝐰 𝐈 𝐃𝐞𝐥𝐢𝐯𝐞𝐫 𝐁𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐈𝐦𝐩𝐚𝐜𝐭: ➔ 𝐀𝐝𝐯𝐚𝐧𝐜𝐞𝐝 𝐑𝐀𝐆 & 𝐊𝐧𝐨𝐰𝐥𝐞𝐝𝐠𝐞 𝐑𝐞𝐭𝐫𝐢𝐞𝐯𝐚𝐥: I build context-aware solutions that combine real-time enterprise data with LLMs. I specialize in reducing hallucinations and optimizing latency (recently achieved a 60% reduction). ➔ 𝐀𝐈 𝐀𝐠𝐞𝐧𝐭𝐬 & 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧: Automate complex workflows (Support, Compliance, Supply Chain) using LangChain, LangGraph, and n8n. ➔ 𝐄𝐧𝐭𝐞𝐫𝐩𝐫𝐢𝐬𝐞 𝐖𝐞𝐛 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧𝐬: Seamlessly integrating models (GPT-4o, Llama 3, Claude, Mistral) into modern web apps using React, Python, and FastAPI. ➔ 𝐌𝐮𝐥𝐭𝐢𝐦𝐨𝐝𝐚𝐥 𝐀𝐈: Experience building systems that process text, image, video, and voice for comprehensive user interaction. ➔ 𝐒𝐜𝐚𝐥𝐚𝐛𝐥𝐞 𝐃𝐞𝐩𝐥𝐨𝐲𝐦𝐞𝐧𝐭: Full CI/CD implementation, Docker/Kubernetes containerization, and cloud infrastructure optimization (AWS/GCP) to reduce costs. 𝐑𝐞𝐚𝐥 𝐖𝐨𝐫𝐥𝐝 𝐂𝐚𝐬𝐞 𝐒𝐭𝐮𝐝𝐢𝐞𝐬 (𝐏𝐫𝐨𝐯𝐞𝐧 𝐑𝐎𝐈): 🏆 The "Zero-Hallucination" RAG (Fracttal): Migrated a system to a vector-free, reasoning-based architecture (PageIndex). Result: 0% hallucinations, 95% accuracy, and 60% latency reduction. 🏆 Enterprise Tax System (Innovapues): Designed a tax investigation system handling massive datasets. Result: Reduced infrastructure costs by 40% via AWS auto-scaling and improved delivery speed by 55%. 🏆 Risk Identification Bot (Bancolombia): Fine-tuned GPT-2 models for automated risk identification. Result: Streamlined frontend/backend reporting and automated risk detection. 𝐖𝐡𝐲 𝐋𝐞𝐚𝐝𝐢𝐧𝐠 𝐎𝐫𝐠𝐚𝐧𝐢𝐳𝐚𝐭𝐢𝐨𝐧𝐬 𝐓𝐫𝐮𝐬𝐭 𝐌𝐞: ✔️ Complex Problem Solver: I handle everything from MCP server integration to LLM Fine-Tuning. ✔️ Results-Oriented: I don't just write code; I implement observability systems to measure accuracy and ROI objectively. ✔️ Tech Stack: Python, PyTorch, ScikitLearn, TensorFlow, MLFlow, NumPy, Matplotlib, LangChain, HugginFace, Qdrant, Chroma, PgVector, FastAPI, React, Docker, Kubernetes, AWS, GCP. 𝐀𝐫𝐞 𝐖𝐞 𝐚 𝐆𝐨𝐨𝐝 𝐅𝐢𝐭? ✅ You need someone who can turn AI ideas into working solutions—practically and efficiently. ✅ You have valuable data and need help unlocking real insights via intelligent automation. ✅ You want a partner who understands the difference between a demo and production-grade software. Ready to engineer a smarter tomorrow?
Earnings and projects
An estimate from an earlier read
Last 6 months: $8k
Billed in all: $16,661$17k
$8k in the last 6 months
Earnings, last 30 days
No data since Nov 5, 2026.
Skill rankings: Top 7% in Python Scikit-Learn
Ranked by MRR among everyone on Upwork with the skill.
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