Ladle Patel ( ابو ياسين )

CEO

Riyadh, Saudi Arabia14 yrs 1 mo experience

Most Likely To SwitchAI Enabled

Key Highlights

Led AI transformation at Arab National Bank.
Developed AI Target Operating Model for streamlined management.
Built high-performing AI teams and mentored over 15 graduates.

Stackforce AI infers this person is a Fintech expert specializing in AI and data science leadership.

Contact

ladlepatelr@gmail.com LinkedIn

Skills

Core Skills

Ai StrategyMlopsGenerative AiArtificial Intelligence (ai)Data ScienceMachine Learning

Other Skills

Natural Language Processing (NLP)CommunicationCross-functional Team LeadershipProject ManagementData GovernanceCollaborationTeam ManagementLeadershipWorkforce ManagementDeep LearningBig DataAWSLeadership and People DevelopmentApache SparkNLP

About

Ladle Patel is leading AI transformation under the Chief Data Officer at the Arab national bank. He brings deep expertise in Generative AI, MLOps, and Multi-Agent Systems, coupled with a strong understanding of the banking business. Key Responsibilities: Lead AI Strategy & Roadmap AI Use case Implementation Oversight AI Solution Architecture Act as Bridge Between Tech & Business Guide Innovation in AI/ML and GenAI Mentor & Upskill the Team Ensure Compliance & Governance Track KPIs and Drive Business Value Key Technologies: AI/ML: TensorFlow, PyTorch, LangChain, Hugging Face, AutoML GenAI: GPT, LLaMA, Gemini, RAG, LangGraph, CrewAI, AutoGen Data: Apache Spark, BigQuery, Kafka, Airflow, SQL, NoSQL MLOps: MLflow, Kubernetes, Docker, GitLab CI/CD Cloud: GCP, AWS, Vertex AI, Firebase Feature Store: Feast, Redis, HBase Infrastructure: AI Infrastructure & GPU Acceleration Languages: Python, Java, Scala

Experience

14 yrs 1 mo

Total Experience

3 yrs

Average Tenure

3 yrs 10 mos

Current Experience

Arab national bank

Senior Advisor - AI & ML Factory

Nov 2022 – Present · 3 yrs 5 mos · Riyadh, Saudi Arabia

AI Strategy: Created a bank-wide AI strategy, identifying AI business opportunities and aligning them with departmental goals.
Strategic Collaboration with CxO-Level Stakeholders for AI Alignment
AI Target Operating Model: Developed the AI Target Operating Model, streamlining the end-to-end management of AI use cases. This included the entire process from ideation and submission to prioritization, resource allocation, development, deployment, and continuous monitoring and optimization. The model ensured efficient project handling and alignment with business objectives, improving overall execution and performance.
AI-Driven Hyper-Personalization : Leading a multi million SAR AI initiative by collaborating across data, business, and design teams and reporting to CxOs.
GenAI Solution Development: Implemented LLM-based Knowledge.ai, enhancing customer service productivity by leveraging cutting-edge AI tools.
Feature Store Development: Created a centralized Feature Store to optimize model development and deployment.
Data Governance: Collaborated to ensure AI use cases adhered to data privacy and NDMO regulations.
ML Pipelines & Optimization: Automated ML pipelines, improving conversion rates by 3% through CI/CD and monitoring frameworks.
Talent Development: Trained data scientists on model deployment and scaling, fostering continuous learning.
AI Adoption & Change Management: Led workshops to ensure AI adoption, aligning models with business needs and CxO expectations.
Team Building: Built a high-performing AI team and mentored 15+ graduates in data science.
Thought Leadership: Represented the bank at conferences, advancing AI thought leadership and external partnerships.

Machine LearningMLOpsAI StrategyData ScienceNatural Language Processing (NLP)Communication+3

Unlearning-relearning

Co-Founder

Jun 2022 – Present · 3 yrs 10 mos · Hyderabad, Telangana, India

Upskilling and guiding rural areas and small-town students

Hyderabad python user group

Speaker & Co-organizer

Jun 2022 – Oct 2022 · 4 mos · Hyderabad, Telangana, India

Machine LearningDeep LearningBig DataApache SparkNLTKPython+2

Genpact

3 roles

Senior Manager - Data Science

Promoted

May 2021 – Nov 2022 · 1 yr 6 mos

Developing an AI-based End to End WFM System for one of the Technology Conglomerate's UPI divisions. This project includes Forecasting, Capacity Planning, and RTM of Employees working for the Due Diligence, PEP Monitoring, IDV, and Real-Time Transaction Monitoring Processes.

Artificial Intelligence (AI)Machine LearningTeam ManagementData ScienceNatural Language Processing (NLP)Leadership+1

Manager - Data Science

Promoted

Nov 2018 – May 2021 · 2 yrs 6 mos

Responsibilities:
1. Leading the entire AI-related development, operations, and research for the Hyderabad site.
2. Provide AI solutions to clients in a multitude of domains.
3. Build a complex AI data pipeline.
Achievements:
1. Deployed large scale Machine Learning models in Production for multiple Clients.
2. I have built a diverse AI team from the Ground Up.
3. Lead AI and Data Digital Transformation initiatives.
Skills :
Machine Learning
Deep Learning
Big Data
AWS
Leadership and People Development

Machine LearningDeep LearningBig DataAWSLeadership and People Development

Assistant Manager - Data Science

Jul 2016 – Oct 2018 · 2 yrs 3 mos

Responsibilities:
1. Build Scalable AI solutions for multiple customers with deployment in production as API.
2. Incorporate advanced analytics in the solutions for the customers in conjunction with Chief Science.
3. Managing infrastructural requirements for the entire Data Science team.
Achievements:
1. Delivered multiple end-to-end Big data analytics-based solutions.
2. Automated Big Data Continuous integration and continues delivery process.
3. I have built NLP as an internal service product.
Skills :
Machine Learning
Deep Learning
Big Data
Apache Spark
NLP
Django
AWS
EMR
Stacking
Ensemble

Machine LearningDeep LearningBig DataApache SparkNLPDjango+4

Tcs analytics & insights, r&d

Data Scientist

Apr 2015 – Jun 2016 · 1 yr 2 mos · Bengaluru, Karnataka, India

Responsibilities:
1. Build Scalable AI solutions for multiple customers with deployment in production as API.
2. Incorporate advanced analytics in the solutions for the customers in conjunction with Chief Science.
3. Managing infrastructural requirements for the entire Data Science team.
Achievements:
1. Delivered multiple end-to-end Big data analytics-based solutions.
2. Automated Big Data Continuous integration and continues delivery process.
3. I have built NLP as an internal service product.
Skills :
Machine Learning
Sklearn
Deep Learning
TensorFlow
Big Data
Apache Spark
NLTK
Python
Java
Scala