I am a results-driven AI/ML Engineer with an MSc in Big Data Analytics & AI, focused on bridging the gap between research models and production systems. I don't just build models; I build the API, the infrastructure, and the deployment pipelines to make them work in the real world.
Most recently, I operated as a Freelance AI Engineer for EsimTime, where I solo-architected and deployed a fully autonomous customer support agent handling global eSIM commerce. I am now looking to bring this hands-on production experience to a full-time engineering team or independent role where I can contribute immediately and grow my career.
- Production Engineering: I build systems with Docker, CI/CD (GitHub Actions), and robust error handling—not just Jupyter notebooks.
- Modern Agentic AI: Deep experience with LangGraph, Gemini Flash 2.0, and RAG architectures.
- Full-Stack Integration: I connect AI to the real world using FastAPI, PostgreSQL, and Redis.
- Global Mindset: Experience working with international clients and delivering enterprise-grade documentation.
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Freelance AI Engineer — EsimTime (2024)
- The Challenge: Automate customer support for a global eSIM provider across Telegram & WhatsApp.
- The Solution: Built a production-grade autonomous agent using LangGraph, Qdrant, and Gemini 2.0.
- Key Achievement: Achieved <3s latency for complex queries and implemented identity-aware authentication without human intervention.
- 👉 View the Architecture Case Study
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Enterprise‑Scale MLOps Project (Open Source) Built a self‑healing bankruptcy prediction system with automated training, monitoring, and retraining pipelines.
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AI Intern — Computer Vision & ADAS Customized YOLO‑based models, engineered training optimizations, and built API‑ready ML pipelines for real‑time insights.
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Junior Software Engineer — Financial Systems Contributed to enterprise loan decision engines using C#/.NET with SQL Server, debugging production workflows and supporting live deployments.
Python · PyTorch · TensorFlow · scikit‑learn · Transformers (BERT, BioBERT) · LangChain · LangGraph · RAG · NLP · Computer Vision (YOLOv8, OpenCV, OCR)
Pandas · NumPy · PySpark · Databricks · Feature Engineering · Clustering · Regression · Data Visualization
FastAPI · Flask · NestJS · .NET Core · REST APIs · JWT Auth · SQLAlchemy · Prisma
Docker · Docker Compose · GitHub Actions · CI/CD · Model Monitoring · Retraining Pipelines · Celery
AWS · Google Cloud Platform (GCP) · Linux · Secure Deployments · Environment Management
Streamlit · React · TypeScript · HTML · CSS · Bootstrap
PostgreSQL · SQLite · SQL Server · Vector Databases
My pinned repositories highlight industry‑grade systems, including:
- Agentic RAG chatbots — multi-agent AI assistants with persistence and knowledge integration
- Enterprise MLOps pipelines — scalable, automated AI workflows
- Computer vision & deep learning systems — real-time detection, tracking, and predictive modeling
- Full-stack AI applications — production-grade systems with API, backend, and frontend integration
- Each repository reflects real design decisions, trade‑offs, and production considerations — not toy demos.
📄 Resume: (PDF link coming soon) 💼 LinkedIn: https://www.linkedin.com/in/josh33-peter10/ 🐙 GitHub: https://github.com/JoshPola96
⭐ If you’re a recruiter, collaborator, or founder — feel free to explore my repos or reach out. I’m always happy to talk about systems, trade‑offs, and ideas.