Open to opportunities

M Yass

@mohyass

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Lead AI & Machine Learning Engineer driving production-grade GenAI solutions.

United States

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What I'm looking for

I am seeking a senior technical role leading AI/ML platform development where I can drive end-to-end GenAI solutions, mentor engineers, and align AI initiatives with business KPIs in a compliant, fast-moving environment.

I am a results-driven Lead Artificial Intelligence & Machine Learning Engineer with over 9 years of experience designing, deploying, and scaling ML systems and GenAI solutions across cloud-native and hybrid environments.

I specialize in LLMs, MLOps, and NLP, and have built end-to-end ML pipelines and production platforms that improved operational efficiency by up to 65% and accelerated deployment timelines by 80%.

I have led cross-functional teams, managed engineering sprints and OKRs for teams of eight, and implemented governance, bias auditing, and drift detection to increase compliance adherence by 40%.

My technical depth spans cloud platforms (AWS, GCP, Azure), orchestration and deployment (Kubernetes, Terraform, CI/CD), model tooling (MLflow, Kubeflow, LangChain), and data engineering (Spark, Airflow, BigQuery), and I bring a strategic focus to deliver high-impact, compliant AI solutions.

Experience

Work history, roles, and key accomplishments

Current

Lead AI & ML Engineer

Current

Ascendum Solutions

Oct 2022 - Present (3 years 8 months)

Spearheaded production-grade GenAI platforms using GPT-4 and LangChain, reducing document processing time by 65% and accelerating model deployment cycles by 80% while managing a team of 8 engineers.

GPT 4 Lang Chain MLFlow Kubeflow GitHub Actions EKS Kubernetes SHAP Apache Beam

Senior ML Engineer

Kaggle

May 2020 - Sep 2022 (2 years 4 months)

Delivered high-performance Transformer ensembles and AutoML tooling achieving Top 1% competition rankings and >90% F1 on imbalanced tasks while reducing model development time by 40%.

Transformers RoBERTa CatBoost Optuna AutoML Reproducible Notebooks

ML & AI Engineer

SQLBI

Dec 2017 - Apr 2020 (2 years 4 months)

Designed forecasting and anomaly detection models (LSTM, ARIMA) improving prediction accuracy by 28% and reduced data processing time by 50% via Spark and Airflow pipelines.

ARIMA Apache Spark Airflow Prometheus Grafana

Junior ML Engineer

Nurdsoft

Dec 2015 - Nov 2017 (1 year 11 months)

Delivered classification and regression models (XGBoost, scikit-learn) with 85–92% accuracy, built ETL pipelines processing ~10M records/day and improved churn targeting by 22%.

XGBoost scikit learn Python SQL ETL SeaBorn Matplotlib Data Pipelines