AI Engineer & M.Sc. AI Student

I build practical AI systems that connect models, APIs, and automation.

My work focuses on applied machine learning, RAG pipelines, backend APIs, and workflow orchestration—turning business problems into working, documented technical systems.

Explore my work View resume

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RAG

API

$ build --from problem
✓ model connected
✓ workflow automated
✓ result documented

3End-to-end portfolio systems

18.90M.Sc. GPA out of 20

1st & 2ndNational automation awards

About

Engineering AI beyond the notebook.

I am an Artificial Intelligence master's student with a bachelor's degree in Mechanical Engineering. That combination shaped how I approach AI: I care about the model, but I also care about the system around it—data flow, APIs, automation, deployment constraints, and measurable business value.

My portfolio includes a RAG-powered operations agent, a customer-retention decision system, and an industrial wind-turbine analytics project. I build with Python, FastAPI, SQL, n8n, Docker, and machine-learning tooling, and I document the reasoning, limitations, and operational workflow behind each project.

Applied Machine Learning AI Automation RAG & LLM Workflows Industrial Analytics

Featured projects

Systems built around real decisions.

All repositories ↗

n8n workflow connecting Telegram, FastAPI, Google Sheets, and escalation logic

RAG · Automation · Backend

SupportOps AI Agent

A knowledge-grounded operations workflow that receives Telegram messages, retrieves controlled context from ChromaDB, generates an answer through OpenRouter, and routes low-confidence or policy-sensitive cases to a tracked escalation path.

Orchestrated Telegram, n8n, FastAPI, ChromaDB, OpenRouter, and Google Sheets.
Added confidence scoring, category and urgency classification, ticket IDs, and escalation rules.
Included API tests, workflow templates, screenshots, setup documentation, and explicit production limitations.

PythonFastAPIn8nChromaDBDocker

View repository ↗

Campaign targeting efficiency chart for customer churn risk ranking

Machine Learning · Business Intelligence

Anticipate & Act

An end-to-end churn decision system that ranks customers by risk and converts model probabilities into practical retention actions instead of stopping at binary predictions.

0.8407ROC-AUC

XGBoostFinal model

scikit-learnXGBoostStreamlitPandas

View repository ↗

Wind turbine power calculator diagram showing rotor diameter, swept area, wind speed, and power output

Industrial AI · Regression Analytics

Wind Turbine Performance Analytics

A SCADA-based machine-learning study that estimates expected turbine output and translates performance gaps into maintenance-oriented energy KPIs.

0.9858Best R²

75.41 kWBest MAE

Gradient BoostingSCADANumPyMatplotlib

View repository ↗

Technical toolkit

What I use to build.

AI & Data

Machine-learning workflows, feature engineering, model evaluation, RAG pipelines, embeddings, vector retrieval, and LLM-based system design.

PandasNumPyscikit-learnChromaDB

Backend & Integration

REST API development and service integration for model-backed applications, structured payloads, validation, and operational decision logic.

PythonFastAPIREST APIsPostman

Automation & Systems

Workflow orchestration, bot integration, logging, Linux fundamentals, networking diagnostics, version control, and containerized local demos.

n8nDockerLinuxGit

Data & Operations

SQL querying, aggregation, business-focused reporting, CRM-based operational data, and translating technical outputs for stakeholders.

SQLMySQLGoogle SheetsCRM

Experience

Professional background.

Jul 2023 — Aug 2024

Technical Specialist (R&D)

Pichka Industrial Group

Worked with CRM and structured internal data, prepared concise workflow documentation, coordinated technical and business requirements, and proposed Python-based automation ideas for repetitive processes.

Summer 2022

Technical Intern — Measurement & Calibration

Laksar Company

Assisted precision calibration processes, investigated inconsistent results, and documented technical findings.

Education

Academic foundation.

2025 — Present

M.Sc. in Artificial Intelligence

University of Science and Culture, Tehran

GPA: 18.90 / 20

2019 — 2023

B.Sc. in Mechanical Engineering

Imam Khomeini International University

GPA: 16.02 / 20

Recognition

National Industrial Automation Awards

1st place in Phase 2 and 2nd place in Phase 1 at the First National Shahid Babaei Event, supported by Iran's National Elites Foundation.

Contact

Let’s build something useful.

I am interested in opportunities involving applied AI, machine learning, intelligent automation, and API-driven systems.

Send an email Download resume