Data Scientist | 5+ Years Experience | Production GenAI & RAG Systems, Azure OpenAI, LangChain, LLM

Professional Summary

I'm a Data Scientist with 5+ years of experience building production AI/ML systems across consulting and enterprise environments, specializing in GenAI, RAG pipelines, and LLM-based applications on Azure. My career spans TCS, Deloitte, and Group Amana, progressing from foundational data engineering to architecting full-scale generative AI systems for global clients.

Experience

At Deloitte, I worked on some of the most technically demanding GenAI implementations in the consulting space. I built a production RAG system for oilfield ticket reconciliation at Halliburton, processing 500+ field tickets daily and reducing manual processing time by 40% through intelligent document parsing, semantic chunking, and hybrid retrieval. I also architected an SEC filings intelligence platform using LangChain and GPT-4 on Azure OpenAI, enabling natural language search across 10,000+ regulatory documents and reducing analyst query latency by 25%. Beyond GenAI, I deployed financial forecasting models using LSTM and SARIMAX achieving 90%+ precision with less than 5% false positive rates, and built dispute classification systems using XGBoost processing 100+ cases daily with automated priority scoring.

Technical Skills

My technical stack runs deep on:

• Azure
• Azure OpenAI
• Azure AI Search
• Azure ML Studio
• Azure Data Factory
• Azure Synapse
• Complemented by:
  • LangChain
  • LangGraph
  • ChromaDB
  • PySpark
  • Databricks
  • Delta Lake

I've mentored junior data scientists on RAG architecture patterns and prompt engineering best practices, and have delivered across 5+ client engagements spanning energy, finance, and construction sectors.

I understand retrieval systems at an architectural level, hybrid dense-sparse search with RRF, semantic chunking strategies, reranking pipelines, RAGAS-based evaluation frameworks, and the tradeoffs between managed vector stores like Azure AI Search versus open source alternatives. I'm increasingly working with open source models like Mistral, Llama variants via Ollama for cost-controlled, privacy-sensitive deployments relevant to government and enterprise clients in the GCC market.

Education

Currently based in the Eastern Province of Saudi Arabia, I'm admitted to Georgia Tech's OMSCS program for Fall 2026 with a Machine Learning specialization, reflecting my commitment to deepening my theoretical foundations while staying grounded in production engineering. I hold a Microsoft Azure Data Scientist Associate certification and scored 111/120 on the TOEFL iBT.

Opportunities

I'm actively exploring senior Data Scientist and GenAI Engineer opportunities in Dubai, Abu Dhabi, Riyadh, or remote roles with GCC clients where I can continue building production-grade AI systems that solve real business problems in one of the world's most exciting emerging technology markets.