Hamza Shabbir Bhatti

Architect and deliver end-to-end enterprise AI platforms for Fortune 500 clients and GCC government entities across banking, aviation, FMCG, and the public sector, owning the full engagement lifecycle from C-suite solution design and RFP leadership through to hands-on production deployment.

Design and build Agentic AI, Multi-Agent Systems, LLM Orchestration, and RAG architectures across cloud and

Deployed 10+ production AI and ML systems serving 3,000+ employees, cutting HR response time by 80% and manual operational effort by 60%.

Built and launched two internal GenAI products: Performance Coach, an LLM-powered career development platform that achieved a 45% training ROI improvement, and Jazz NEXUS, an AI talent matching engine that reduced time-to-hire by 15 days and improved hiring eff

Led a team of developers building a People Analytics data product, delivering personalized analytics from organisational data to support informed decision-making.

Applied Natural Language Processing techniques to process diverse data types, enhancing organisational insights and refining People Processes for continuous improvement.

Researched and implemented ML best practices including Data Versi

Replaced Amazon Textract with a custom Deep Learning OCR pipeline using CascadeTabNet and fine-tuned Tesseract, cutting processing costs by 60% and achieving 95%+ accuracy across invoice formats. Deployed an enterprise Transformer-based chatbot serving 2.5M+ users with 92% query resolution, owning the full lifecycle from model training through production scaling.

Captured price movement signals for high-frequency algorithmic trading strategies as a Quantitative Researcher.

Designed a live trading alpha on the second attempt, deployed in production markets at Radix Trading LLC.

Consulted for KDS (Radix's affiliated company), training new hires in quantitative research methodology.

Hands-on experience with AWS Athena, RDS, EC2, S3, and Glue.