Open to opportunities

Yadidiah k

@yadidiahk

I build production-scale AI/ML systems delivering high-accuracy, low-latency solutions across healthcare, finance, and enterprise.

United Arab Emirates

Message

What I'm looking for

I’m seeking senior AI/ML roles where I can architect production-grade models and MLOps pipelines, translate research into impact, mentor teams, and drive scalable solutions in healthcare, finance, or enterprise.

I am an AI/ML engineer with 4+ years building and deploying production-scale machine learning systems across healthcare, finance, and enterprise domains.

My technical practice centers on deep learning, computer vision, NLP, and generative AI using Python, PyTorch, TensorFlow, JAX, and Hugging Face; I design MLOps pipelines with AWS, GCP, Docker, Kubernetes, MLflow and CI/CD to deliver low-latency, scalable services.

I have delivered models achieving 90%+ accuracy, reduced operational costs by 70%, and scaled systems to 10,000+ daily predictions with <200ms latency; I am also a published researcher with three peer-reviewed papers in Springer and IEEE.

I seek roles where I can architect end-to-end AI systems, translate research into production impact, and mentor teams—especially in healthcare, finance, and enterprise settings.

Experience

Work history, roles, and key accomplishments

GenAI Consulting Analyst

BCG

Apr 2025 - Present (4 months)

Architected an AI-powered financial chatbot processing 100+ SEC filings, reducing C-suite decision time by 70% and enabling faster evaluations; orchestrated multi-source data integration from 50+ Fortune 500 companies to deliver real-time financial insights with 99.2% uptime.

NLP Document Processing Model Fine Tuning Data Integration Python

Data Science Consultant

British Airways

Jan 2025 - Present (7 months)

Analyzed 1,000+ customer reviews via advanced sentiment analysis to identify drivers that improved NPS by 15%; built a predictive ML ensemble with 85%+ accuracy that enabled targeted campaigns yielding a 23% higher conversion rate and reduced weekly manual analysis from 40 to 6 hours.

Ensemble Analysis Forecasting Python SQL Self Service Analytics

Data Analytics Specialist

Deloitte

Sep 2024 - Present (11 months)

Conducted forensic analysis on complex financial datasets to identify anomalies flagging 95%+ of potential fraud cases with minimal false positives; designed Tableau dashboards processing 10,000+ datapoints that improved executive reporting turnaround by 40% and deployed adaptive anomaly detection to cut manual review time by 60%.

Anomaly Detection Tableau Python SQL Data Visualization