ABDUL GAFOOR KHAN
Riyadh
Summary
Expert in MLOps and AI architecture with strong skills in data engineering and big data technologies. Proficient in machine learning and AI, utilizing deep learning frameworks like PyTorch and TensorFlow for predictive modeling. Experienced in cloud and DevOps, optimizing infrastructure as code with AWS services. Proven ability to design MLOps frameworks, manage model lifecycles, and integrate CI/CD pipelines for machine learning applications.
Overview
19
19
years of professional experience
3
3
years of post-secondary education
1
1
Certification
Work history
MLOps Consultant | AI & Agent Solution Architect
stc solutions (Upsource)
Riyadh
2024.03 - 2026.02
- Architected comprehensive MLOps maturity framework by synthesizing Google and Microsoft models, customized for telecom enterprise scale with focus on governance, automated retraining, and model monitoring
- Designed target-state MLOps architecture encompassing CI/CD pipelines, feature stores, experiment tracking, model registry, and automated deployment workflows for production ML systems
- Enhanced data science model accuracy through advanced feature engineering, validation strategies, and implementation of automated retraining triggers based on data drift and concept drift detection
- Deployed enterprise RAG-based solution for STC Internal Audit team processing 100+ policy documents, enabling in-depth analytics and automated policy compliance checking with natural language queries
- Implemented MCP (Model Context Protocol) integration for policy documents with STC AI Core Platform, establishing scalable foundation for enterprise knowledge management
- Engineered end-to-end automated translation solution for Business Continuity documents (English ↔ Arabic) preserving complex formatting, table alignment, and structure across 5,000+ pages using STC's internal LLM
- Currently developing ASK Data Agent for large-scale analytics tables in customer experience domain, enabling business users to query complex datasets through natural language interface
- Led implementation of telecom site forecasting models on Cloudera AI Platform (CML) for network planning teams, integrating with enterprise data lake for real-time predictions
- Delivered HAJ-specific analytics and data monetization use cases, collaborating with business stakeholders to translate requirements into production ML solutions
- Acted as technical bridge between data science, platform engineering, and business teams to ensure ML solutions meet enterprise standards for security, scalability, and maintainability
- MLOps Framework & Strategy
- Agentic AI & Automation Solutions
- AI Platform & Use Case Delivery
Big Data Consultant / Solution Architect
Tata Consultancy Services (TCS) → stc solutions
Riyadh
2023.01 - 2024.03
- Architected multi-zone Data Lake on Cloudera Data Platform (CDP) with raw, refined, and curated layers optimized for analytics, reporting, and AI/ML consumption
- Led integration of 100+ source systems into STC Enterprise Data Platform, spanning EDW and Big Data ecosystems with focus on data quality and governance
- Implemented Apache Spark-based CDR processing solution migrated from Ab Initio platform, achieving 40% performance improvement and reduced licensing costs
- Developed complex transformations for OSS/BSS source systems handling structured and semi-structured telecom data at petabyte scale
- Optimized Apache Hive queries using Tez execution engine, ORC format, and advanced partitioning strategies, reducing query times by 60%
- Implemented both batch and streaming data lake jobs using Kafka and Airflow orchestration based on source characteristics and business SLAs
- Role continued seamlessly across organizations while supporting the same STC enterprise programs
- Enterprise Data Lake Architecture
- Big Data Engineering & Optimization
Assistant Consultant – Data Engineering & ML Innovation
Tata Consultancy Services
Riyadh
2012.03 - 2022.12
- Led strategic implementation of TM Forum SID (Information Framework) for STC Enterprise Data, mapping 100+ application attributes across three analytics systems to standardized industry model
- Developed NLP-based automation solution using sentence similarity models to map enterprise data attributes to SID predefined definitions, reducing manual modeling effort by 70%
- Collaborated with source system SMEs to capture business metadata and align with common information model providing enterprise-wide semantic consistency
- Built predictive data quality models using machine learning algorithms (XGBoost, Random Forest) to forecast order failures based on CRM, Inventory, and Network datasets
- Conducted correlation and causation analysis across multiple data attributes to identify root causes of order failures, improving data quality by 35%
- Developed automated data standardization detection using fuzzy logic to identify similar data patterns and flag quality issues for proactive remediation
- Enterprise Data Modeling & Automation (TM Forum SID Implementation)
- Predictive Data Quality & Machine Learning
- Innovation: Automated Invoice Processing (TCS Innovista Award Winner)
Technology Analyst – Banking & Cards Domain
Tata Consultancy Services
Multiple Locations
2007.06 - 2012.03
- Led team of 15+ Ab Initio resources across multiple geographies managing shared technology environment hosting 40+ banking applications
- Designed and built 30+ ETL servers (DEV, UAT, PROD, COB) collaborating with Citi architects to establish infrastructure standards and change management processes
- Performed application migrations, performance analysis, and infrastructure optimization for mission-critical banking ETL applications
- Developed critical real-time settlement engine processing inter-bank settlements through VISA network with strict SLA requirements
- Provided L3 support for VISA Europe authorization system, collaborating with stakeholders to ensure 99.99% uptime for card processing
- Formulated maintenance and failure recovery procedures for real-time settlement infrastructure
- Architected end-to-end ETL solution migrating loan loss reserve calculations from legacy Java/PL-SQL to Ab Initio platform
- Designed technical solution covering all phases: requirement analysis, source-target mapping, ETL process design, and L2/L3 production support
- Shared Technology Environment (Citi Group) – Infrastructure Lead
- VISA Authorization Service – Real-Time Settlement (VISA Europe)
- Loan Loss Reserve Application (Citi Group) – Solution Architect
Education
Master of Science - Data Science
Liverpool John Moores University & upGrad
2020.03 - 2022.04
Post Graduate Certificate - Data Science
International Institute of Information Technology (IIIT) & upGrad
2020.03 - 2021.04
Bachelor of Engineering - Electronics and Communication
Anna University
Chennai, IndiaSkills
- MLOps & AI Architecture
- Data Engineering & Big Data
- Machine Learning & AI
- Technologies & Platforms
- Domain Expertise
- Leadership & Strategy
- MLOps & AI: MLOps Framework Design, Cloudera AI Platform (CML), Model Lifecycle Management, CI/CD for ML, Feature Stores, RAG Systems, Agentic AI, MCP Integration
- Big Data Technologies: Apache Spark, Apache Hive, Hadoop Ecosystem, Kafka, Airflow, Cloudera Data Platform (CDP), Data Lake Architecture
- Machine Learning & AI: Deep Learning (PyTorch, TensorFlow), NLP, LLM Integration, XGBoost, Random Forest, Gradient Boosted Trees, Predictive Modeling
- Programming & Scripting: Python (Advanced), SQL, PL/SQL, Unix Shell Scripting, JavaScript
- ETL & Integration: Ab Initio (MDW Framework, GDE), Teradata SQL, Oracle, Data Integration Patterns
- Cloud & DevOps: AWS (EC2, S3, EMR), CI/CD Pipelines, Infrastructure as Code
- Data Modeling: cLDM (Telecom), TM Forum SID Framework, Erwin, Enterprise Data Modeling, Dimensional Modeling
- Databases: Teradata, Oracle, SingleStore, Hive, PostgreSQL
Certification
- AWS Solution Architect Associate | Jan 2022
- AWS Cloud Practitioner | Jan 2020
- TCS Digital Thinking | Mar 2020
- TCS Leader in You | Mar 2020
KEY DATA SCIENCE & ML PROJECTS
Intelligent Crowd Management System | Master's Research Thesis, Researched venue-based segmentation analysis for real-world crowd scenarios to enable explainable AI in crowd density estimation, Retrained state-of-the-art deep learning models (PyTorch) on segmented datasets achieving 90% accuracy in crowd density prediction, Published novel segmentation framework improving model interpretability and performance across diverse crowd scenarios, Customer Churn Prediction – Telecom Domain, Tech Stack: Python, TensorFlow, Deep Learning | May 2020, Built deep learning classification model predicting customer churn with 98.8% accuracy using 3-month telecom customer behavior data, Evaluated multiple ML algorithms (logistic regression, ensemble trees, gradient boosted trees) and deep neural networks for optimal performance, Implemented advanced feature engineering and hyperparameter tuning achieving production-ready model for business deployment
AWARDS & RECOGNITION
TCS Innovista Award – Best Innovation (Middle East Region) for SECCO Invoice Processing Automation | Mar 2020, TCS Special Initiative Award – Innovista Competition for Enterprise AI Solution | Feb 2023, Multiple appreciation awards for innovation, automation, and delivering complex data engineering projects ahead of schedule
Timeline
MLOps Consultant | AI & Agent Solution Architect
stc solutions (Upsource)
2024.03 - 2026.02
Big Data Consultant / Solution Architect
Tata Consultancy Services (TCS) → stc solutions
2023.01 - 2024.03
Master of Science - Data Science
Liverpool John Moores University & upGrad
2020.03 - 2022.04
Post Graduate Certificate - Data Science
International Institute of Information Technology (IIIT) & upGrad
2020.03 - 2021.04
Assistant Consultant – Data Engineering & ML Innovation
Tata Consultancy Services
2012.03 - 2022.12
Technology Analyst – Banking & Cards Domain
Tata Consultancy Services
2007.06 - 2012.03
Bachelor of Engineering - Electronics and Communication
Anna University