Moeed Sultan Kundi
Senior Data Scientist | AI ML Team Lead | NLP & LLMs Expert | Analytics | MLOps | Azure | AI Solution Architect
Professional Summary
Dynamic and impact-driven Senior Data Scientist with 9 years of experience designing and deploying AI/ML solutions across enterprise environments. Proven leadership in managing cross-functional teams, delivering end-to-end machine learning pipelines, and aligning AI strategies with business goals. Expertise in Gen-AI, NLP, LLMs, forecasting systems, computer vision, and MLOps.
Work Experience
Deputy Manager, Data Science
Interloop Ltd.
Pakistan
- Led AI initiatives within the company's digital transformation program
- Developed an Invoice Billing Automation system using Generative AI, combining OCR, feature extraction, structured database dumping, and automated form-filling. The system replaced manual efforts of 50 employees, saving approximately 86,000 hours annually
- Architected and deployed an AI-powered tech pack automation system for 4 major customers (Nike, Adidas, Target, C&A) using Gen-AI (Google Gemini backed) for intelligent field extraction from PDF specifications, validating 40+ fields against production databases with auto-registration of missing master data, eliminating 90% of manual Sample Request creation time and processing 15+ product categories across multiple brand lines with 95%+ accuracy
- Architected demand & sales forecasting systems for North America division, improving forecast reliability across seasonal SKUs
- Directed computer vision projects to optimize quality in denim manufacturing (e.g., fault detection, shade variation)
- Built a production enterprise AI chatbot on AWS Bedrock enabling business users to query Oracle/PostgreSQL databases in conversational language via MCP tools, with a full RAG pipeline backed by Milvus vector search and an automated ingestion layer, eliminating manual data lookup workflows across multi-brand enterprise operations
- Created unified data pipelines across Excel and SQL sources; deployed Tableau-based dashboards for QA and production analytics
- Built predictive models to streamline production pipelines for Interloop's global clients
Data Scientist, Advanced Analytics
Kyndryl (formerly IBM GTS)
Pakistan
- Maintained enterprise-level analytics initiatives during IBM's transition to Kyndryl
- Built secure and scalable ML models for IT and business operations
- Collaborated with international teams and clients on data-driven automation
Data Scientist, Advanced Analytics
IBM
Pakistan
- Designed STAAR: a self-learning ITSM automation system, reducing resolution time by 40% and achieving 98% classification accuracy
- Used FastText, IBM Watson, and ensemble methods (Random Forest, Naive Bayes) for scalable NLP solutions
- Implemented anomaly detection through clustering of embedded ticket data
- Managed the complete ML lifecycle from POC to deployment for enterprise clients
Software Engineer (Machine Learning)
Burqstream Technologies
Islamabad, Pakistan
- Delivered CV solutions using YOLO and TensorFlow for ad-screen detection and logo recognition
- Built Urdu audio transcription system using custom datasets
- Introduced CV strategy and infrastructure within a fast-paced start-up
Technical Skills
Programming & Frameworks
Generative AI & LLMs
AI/ML & Data Science
Cloud & MLOps
Computer Vision
Data Analytics & Visualization
NLP & Text Processing
Education
Bachelor of Science, Computer Engineering
National University of Sciences & Technology (NUST)
Islamabad, Pakistan
Certifications
Microsoft Certified: Azure Fundamentals
Microsoft • 2022
Natural Language Processing in TensorFlow
DeepLearning.ai / Coursera • 2019
Cognitive Practitioner
IBM • 2020
Enterprise Design Thinking Co-Creator
IBM • 2019
Languages
Key Achievements
Download Full Resume
Get the complete PDF version with detailed project descriptions and references