Abdullah Ahmad
@abdullahahmad3
AI & Data Engineer building RLHF-grade evaluation and agentic LLM systems from idea to production.
ZimbabweWhat I'm looking for
I take AI products from idea to production, and I stay in the stack—owning discovery, PRD, architecture, build, and delivery end-to-end. Over the last 2+ years, I’ve delivered client-facing systems through freelance consulting, enterprise LLM pipelines, and concurrent contract product work.
At Analytiverse, I ship production LLM systems and data infrastructure for Fortune 500 and frontier AI clients. I adversarially evaluate models including GPT-o1, GPT-4o, Gemini, Claude, and DeepSeek, build RLHF/SFT training-data pipelines, and implement multi-turn agentic workflows with LangGraph and LangChain.
I also focus on measurable performance and reliability: I build self-correcting RAG pipelines and multi-agent orchestration systems that deliver 40%+ performance over single-agent baselines, plus LLM-as-a-Judge evaluation frameworks for grammar, factuality, and completeness. On the data engineering side, I’ve migrated 4+ legacy pipelines to GCP (Kafka, Airflow, BigQuery) using medallion architecture and built an AI cybersecurity log analyzer that powers plain-English anomaly detection.
Experience
Work history, roles, and key accomplishments
Building production LLM systems and data infrastructure for Fortune 500
and frontier AI clients.
LLM Alignment and Evaluation:
- Adversarially evaluated GPT-o1, GPT-4o, Gemini, Claude, and DeepSeek across 6 domains (math, physics, CS, AI/DS, software engineering)
- 100+ datasets ingested into fine-tuning pipelines
- Designed multi-turn agentic workflows (LangGraph, LangChain) with sequential/par
AI & Software Consultant
Freelance
Jan 2023 - Present (3 years 6 months)
Ongoing technical consulting for retail businesses building, maintaining, and advising on systems that replace manual operations with automated, scalable infrastructure.
- Architected and deployed a full-stack inventory management system (Vite, Node.js, MongoDB) handling 15+ product categories with hundreds of SKUs across multiple variants - eliminating manual stock tracking and reducing inventor
End-to-end AI product consulting for 10+ clients across fintech, SaaS, and analytics - owning the full arc from discovery to shipped product. Ran concurrently as a contract engagement
alongside full-time work.
- Ran discovery calls, wrote PRDs, scoped MVPs, and built production-ready AI systems - not advising from the sidelines, but in the stack
- Shipped a natural language data query chatbot o
- Built an AI-powered developer productivity tool using LLMs with intelligent code completion and real-time bug detection
- Designed automated code-fixing pipelines to reduce manual review overhead
- Collaborated with frontend and UX teams to ship an interactive interface visualizing AI-generated code suggestions
- Collaborated with cross-functional, global teams on data-driven problem solving.
- Applied data analysis and ML concepts to evaluate sustainability and Net Zero initiatives.
- Conducted analytical research and technical feasibility assessments, proposing AI-supported solutions to improve decision-making.
Education
Degrees, certifications, and relevant coursework
National University of Computer and Emerging Sciences
Bachelor's degree, Computer Science
2021 - 2025
Lahore Grammar School
2006 - 2021
Availability
Location
ZimbabweAuthorized to work in
Job categories
Skills
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