Open to opportunities

Izma Aziz

@izmaaziz

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Senior software engineer specializing in Generative AI, LLMs, and agentic multi-agent systems for enterprise impact.

Pakistan

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What I'm looking for

I’m looking to lead end-to-end GenAI/LLM and agentic systems work for enterprise teams—combining strong architecture, fast iteration, and measurable reliability improvements, with room to mentor engineers and drive platform-level outcomes.

I’m a Senior AI-focused software engineer with 3+ years of experience building Generative AI, LLM, and multi-agent systems for enterprise clients. I led AI feature delivery across a platform serving 8+ clients, resolving 80% of customer-reported AI issues through prompt engineering and RAG pipeline optimization.

I also architected and shipped Deep Research Agents to enable multi-step autonomous reasoning, improving enterprise retrieval accuracy by 30% and reducing hallucinations measurably. By refactoring agentic pipelines and optimizing tools and infrastructure, I drove a 50% reduction in response latency and improved platform uptime to 90%, while mentoring teams through 30+ technical interviews.

Experience

Work history, roles, and key accomplishments

Current

Senior Software Engineer

Current

Data Science Dojo LLC

Aug 2025 - Present (10 months)

Directed a core AI engineering team of 6–7 engineers and owned end-to-end delivery across Ejento AI for 8+ enterprise clients. Architected Deep Research Agents with agentic AI, improving enterprise retrieval accuracy by 30% and reducing response latency by 50% while raising platform uptime to 90%.

Agentic AI LangGraph RAG Prompt Engineering Azure OpenAI Vector Databases Context Engineering

Data Scientist (I/II)

Data Science Dojo LLC

Dec 2023 - Aug 2025 (1 year 8 months)

Owned end-to-end AI feature delivery on a multi-tenant enterprise SaaS platform, resolving 80% of customer-reported AI issues via prompt engineering and RAG pipeline optimization to improve retention. Built and launched multi-agent workflows with LangGraph, reducing hallucination rates measurably and improving single-agent task accuracy by up to 80%, while implementing AI safety guardrails.

RAG Prompt Engineering LangGraph LLM Evaluation Workflow Agents MCP Microservices PostgreSQL

Data Science Intern

Data Science Dojo LLC

Jun 2023 - Dec 2023 (6 months)

Contributed to enterprise data pipelines using Azure Synapse and Azure Document Intelligence, owning automated workflow orchestration via Logic Apps. Improved a client-facing RAG application by reducing hallucination rate by 60% through prompt engineering and response caching, and achieved 90% client satisfaction.

Azure Synapse Azure Logic Apps RAG Vector Stores Prompt Engineering Caching

Education

Degrees, certifications, and relevant coursework

NED University of Engineering and Technology

Bachelor of Engineering, Computer and Information Systems Engineering

2019 - 2023

Grade: CGPA: 3.962; Bronze Medalist

B.E. in Computer and Information Systems Engineering. Thesis focused on smart SQL query generation using a fine-tuned T5 transformer for NL-to-SQL conversion, achieving 80% ROUGE precision on the Spider benchmark.