Mohsen KarimiAI / ML

Open to senior AI leadership & advisory conversations

AI Strategy Lead · Senior Data Scientist

Research depth.Production judgment.

I’m Mohsen Karimi, a Ph.D. in Artificial Intelligence with 10+ years across applied research, financial machine learning, and production AI systems.

Mohsen Karimi, AI Strategy Lead and Senior Data Scientist
Tehran, Iran · Working across bordersMK — 2026
10+years in AI & ML
15+trading algorithms built
Ph.D.Artificial Intelligence

Profile / 01

I build the bridge between promising research and dependable products.

My work spans the full AI lifecycle: shaping the problem, leading research, designing the system, and creating the standards that keep it useful in production.

Today at Charisma, I lead scientific work across generative AI, speech intelligence, and financial machine learning. Earlier, I helped build a machine-learning platform for U.S. markets and spent a decade teaching and mentoring emerging AI talent.

01

Make the research answer a real business question.

02

Measure the system, not only the model.

03

Turn technical standards into team leverage.

Selected systems / 02

Real systems, built where AI meets consequential decisions.

A selection of product and platform work from my recent roles. Deeper technical case studies are available in conversation.

01

Generative AI

Grounded customer assistants

Directed RAG-based LLM systems from research through production, creating useful conversational experiences aligned with product requirements.

RAG · LLMs · LangChain · Evaluation

02

Speech intelligence

Customer-call intelligence

Architected ASR workflows that turn support conversations into searchable transcripts, summaries, and business insight.

ASR · NLP · Data pipelines · Insight

03

Financial machine learning

Markets, models, and execution

Built machine-learning infrastructure for NYSE markets and implemented more than 15 trading algorithms across Python and C++ systems.

Python · C++ · Optimization · Backtesting

Working range / 03

Strategy when direction matters. Engineering when details do.

01

AI strategy

Roadmaps, research framing, technical standards, and cross-functional translation.

02

Generative AI

LLMs, RAG architectures, evaluation, and human-centered product integration.

03

ML systems

Docker, Airflow, Kafka, MLflow, data pipelines, and production reliability.

04

Financial AI

Options, market data, algorithmic trading, optimization, and simulation.

05

Scientific leadership

R&D direction, method review, mentorship, and team capability building.

Experience / 04

A career built across research, products, and people.

2022 — Now

Senior Data Scientist · Scientific Leadership

Charisma · Tehran, Iran

Leading production initiatives in generative AI, ASR, financial modeling, and multi-service AI platforms.

2020 — 2022

Data Scientist · Platform Development

Tensurf · Silicon Valley, USA · Remote

Built market ML infrastructure and trading systems from data engineering through deployment.

2012 — 2022

Faculty Member · AI & Computer Science

Shiraz Pasargad Higher Education Institute · Shiraz, Iran

Taught advanced AI courses and supervised Master’s research in applied machine learning.

2017 — 2018

Researcher & Developer

Tadbirgaran Algorithm Lab · Tehran, Iran

Researched deep-learning prediction models and algorithmic trade execution.

Education

2012 — 2021

Ph.D. · Computer Engineering — Artificial IntelligenceShiraz University

2010 — 2012

M.S. · Computer Engineering — Artificial IntelligenceShiraz University

A quieter frame, away from models and markets.A quieter frame, away from models and markets.

Beyond the systems / 05

Curious by nature. Serious about the craft. Human in the process.

The work matters most when the people around it can understand it, trust it, and improve it. I bring the same calm curiosity to a technical review, a product conversation, or a walk away from the screens.

Let’s talk / 06

Have an AI challenge that needs both vision and execution?

I’m interested in senior AI leadership, technical advisory work, and ambitious product teams building responsible, production-grade intelligent systems.