Building
agentic systems
that ship.
I'm Mohammed Ajzel — an AI/ML Engineer and Data Scientist turning complex data into production systems. I build Agentic AI, RAG pipelines, fine-tuned LLMs, and analytics dashboards that drive measurable outcomes.
From data to intelligence — across AI, analytics, and the full stack.
Agentic AI Systems
Multi-agent architectures with LangGraph, LangChain, and the Model Context Protocol. ReAct reasoning across tool servers, deployed as FastAPI services.
Retrieval-Augmented Generation
Production RAG pipelines with FAISS vector search, dual embeddings, and sub-1.5s query latency across multi-document corpora.
LLM Fine-Tuning
LoRA / QLoRA fine-tuning with Unsloth on Phi-3-mini. 4-bit quantized training, GGUF export, offline inference via Ollama.
ML & Data Science
Statistical modeling, EDA on 10k+ records, A/B testing, and classification pipelines with measurable business outcomes. SQL, Pandas, NumPy, Scikit-learn.
Data Analytics & Visualization
End-to-end analytics workflows: data cleaning, feature engineering, dashboarding, and storytelling with Tableau and Power BI. Translate raw data into board-ready insights.
AI systems & data pipelines.
Real users. Real numbers.
MCP LangChain Agentic System
LLM Fine-Tuning Pipeline
AI Document Searchbot
Cloud-Native ATS Analyzer
Data Science & Analytics Portfolio
Deepfake Image Detection
Four internships. Every one shipped something real.
AI Automation Extern
n8n pipeline with Claude + Gemini across 48+ SKUs — 70% less manual work. Produced a 19-page intelligence report with structured data insights, cutting turnaround to <2h.
AI Engineer Intern
Enterprise AI email categorization + prioritization with transformer models. Analyzed ticket metadata and built prompt-engineered classification with measurable accuracy gains. Certified by Infosys SVP.
Machine Learning / Data Analyst Intern
EDA + statistical benchmarking on 10k+ records; Random Forest at 90%+ accuracy. Built a Flask recommendation API with Top-20 personalized results and documented feature importance for stakeholders.
AI, ML & Data Science Intern
Flask energy prediction API (Random Forest, 92% R²) at 100+ predictions/sec. Created a Chart.js real-time dashboard for monitoring predictions and residuals, bridging modeling with analytics.