Looking for a job

Mohammed Ajzel

@mohammedajzel

AI/ML Engineer building production-ready agentic AI, RAG, and LLM systems — plus data science work spanning EDA, statistical modeling, and predictive

India

Message

What I'm looking for

I'm looking for AI/ML Engineer, Generative AI Engineer, or Data Scientist roles building production-grade agentic systems, RAG pipelines, and fine-tuned LLMs with real users. I want ownership across the stack — from model/data work to deployment (Docker, FastAPI, cloud) — not just notebooks. Open to remote-first teams that value shipping and offer room to grow.

I'm an AI/ML Engineer with hands-on experience building production Agentic AI systems, RAG pipelines, and fine-tuned LLMs — from multi-agent architectures (LangChain, LangGraph, Model Context Protocol) to deployed APIs serving real users.

I've delivered results across four internships and six shipped projects: a 70% efficiency gain automating competitive intelligence at Wayfair, 85-90% RAG accuracy on a document search system, 92% CNN accuracy on deepfake detection, and a 0.82 ROC-AUC churn model.

On the data science side, I work across EDA, regression/classification, A/B testing, and feature engineering, with strong data visualization skills (Tableau, Power BI, Matplotlib, Seaborn).

I hold the Oracle OCI Generative AI Professional and Anthropic Claude Code certifications, and have completed industry simulations with BCG, Tata Group, and Lloyds Banking Group. I like taking systems from prototype to deployed, production-ready APIs — Docker, CI/CD, and all.

Experience

Work history, roles, and key accomplishments

AI Engineer Intern

Infosys Springboard

Feb 2026 - Apr 2026 (2 months)

Built an enterprise-grade AI email categorization and prioritization system using transformer-based models and prompt engineering. Designed an NLP pipeline for automated classification and priority ranking to streamline enterprise inbox management. Delivered a production-ready solution demonstrating LLM integration and system design; certified by Infosys SVP and Head of Education.

NLP Prompt Engineering Transformers Text Classification Systems LLM Integrations Enterprise AI Machine Learning

AI Automation Extern

Wayfair(via Extern)

Jan 2026 - Mar 2026 (2 months)

Built an n8n automation pipeline (Claude AI, Google Gemini) to scrape, dedupe, and standardize product data across 48+ SKUs, cutting manual effort by 70%. Automated competitive analysis across Wayfair, Amazon, and Walmart, delivering a 19-page intelligence report and cutting analyst turnaround from days to under 2 hours. Recognized as Program Completer for on-time delivery.

N8n Workflow Development N8n Claude Gemini Workflow Automation Prompt Engineering Data Scraping Competitive Analysis Drive API

Machine Learning Intern

Cognifyz Technologies

Dec 2025 - Jan 2026 (1 month)

Performed exploratory data analysis and statistical benchmarking on 10,000+ records across 3 ML algorithms, achieving 90%+ accuracy with Random Forest — outperforming baseline by 12%. Deployed a Flask recommendation API generating Top-20 personalized results across 4 filters (cuisine, rating, city, price), improving user decision speed by 35%.

Random Forest Flask scikit learn Recommendation Systems

AI, ML & Data Science Intern

IBM

May 2025 - Jul 2025 (2 months)

Built and deployed a Flask-based Random Forest model achieving 92% R-2 on 1,000+ energy datapoints, implemented real-time APIs and a Chart.js dashboard serving 100+ predictions/sec and reducing manual analysis time by 40%.

Python Flask scikit learn REST APIs Chart.Js SQLite CI CD

Inventory Data Analyst

Domino's

Sep 2022 - Dec 2023 (1 year 3 months)

Maintained 95%+ inventory accuracy across daily stock for 100+ orders, reduced ingredient waste by 20%, and performed regular audits improving turnover rate by 12% while forecasting peak demand to ensure 98% zero stock-outs.

Inventory Management Forecasting Data Analysis SQL Excel Auditing demand planning Process Improvement