I have 5+ years of experience across machine learning, analytics, forecasting, computer vision, generative AI, and business intelligence. My work focuses on building solutions that are not only technically strong, but also useful in real business settings.

I am especially interested in:

• Production AI applications
• Retrieval-Augmented Generation (RAG)
• Forecasting and predictive analytics
• Data products and decision-support systems
• MLOps and scalable deployment workflows

• AI Applications: RAG chatbots, OCR pipelines, document intelligence, and LLM-powered workflows
• Machine Learning Systems: forecasting, anomaly detection, classification, recommendation systems, and computer vision
• Data Products: dashboards, monitoring systems, customer analytics, and business intelligence solutions
• Backend & Deployment: FastAPI services, Dockerized apps, model APIs, and cloud-based solutions

Languages
Python, SQL, JavaScript, Go, R

Machine Learning / AI
scikit-learn, PyTorch, TensorFlow, LangChain, Hugging Face, OCR, RAG

Backend / App Development
FastAPI, Flask, Django, React, Next.js

Data & BI
PySpark, Power BI, Tableau, Looker Studio, Excel

Cloud / DevOps
Azure OpenAI, Azure AI Search, Docker, AWS, GCP, GitHub Actions

Short description: Enterprise-style chatbot or document intelligence system using LLMs, retrieval, and API deployment.
Highlights: ingestion pipeline, chunking, embeddings, retrieval, citations, FastAPI deployment.

Short description: End-to-end ML system with training, evaluation, API serving, Docker, and monitoring.
Highlights: experiment tracking, deployment pipeline, reproducibility, model lifecycle.

Short description: Forecasting project for demand, pricing, or operational planning.
Highlights: feature engineering, model comparison, business impact, visualization.

Short description: Dashboard or analytics solution built for monitoring KPIs and business performance.
Highlights: data modeling, KPI design, storytelling, actionable insights.

Short description: Fullstack application combining frontend, backend, and machine learning or analytics.
Highlights: UI/UX, API integration, data workflow, deployment.

Built AI and document-processing solutions using OpenAI, OCR, Cosmos DB, Azure Document Intelligence, Azure AI Search, LangChain, and Microsoft Teams integrations.

Worked on review analytics, OCR, anomaly detection, segmentation, recommendation systems, and customer analytics pipelines.

Developed forecasting solutions, analytics dashboards, and data-driven decision support for agronomic pricing and risk monitoring.

• Building production-ready AI applications
• Strengthening MLOps and deployment patterns
• Creating business-facing analytics and intelligent dashboards
• Expanding into fullstack AI product development

I am open to collaborating on AI engineering, machine learning, data products, and analytics-focused opportunities.

• LinkedIn: https://www.linkedin.com/in/bayuzenahmad/
• Email: bayuzen19@gmail.com
• GitHub: https://github.com/bayuzen19