Hamid Haris
Lead Ai Engineer @IBM
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WORK HISTORY
Lead Ai Engineer @IBM
Built an agentic AI system (Cognee, AWS Bedrock Claude Sonnet 4.6, OpenAI, Gemini) that extracts business logic from SDLC artifacts and source code to auto-generate structured user stories with acceptance criteria- Implemented a GraphRAG pipeline (Neo4j/Kuzu, LanceDB, Titan embeddings) enabling multi-hop semantic retrieval of code and design context across 8 query-aware profiles- Developed a scalable async knowledge-extraction framework (batch processing 500+ items, rate limiting, observability) ingesting Jira, Confluence, Git, and Figma into 30+ typed graph relationships with interactive HTML visualizations- Engineered a JSON-schema-constrained LLM extraction pipeline (Bedrock converse() API) mining Requirement, Decision, and Risk entities from unstructured docs, using deterministic-first linking to reduce hallucination- Built an async LLM-as-a-Judge evaluation pipeline (DeepEval, Bedrock Claude) scoring RAG quality on faithfulness and contextual precision/recall; scaled to 50 concurrent calls and improved answer F-score from 0.77 to 0.82 via prompt optimization- Designed a multi-agent orchestration framework (Microsoft AutoGen, FastAPI WebSockets) with tool-calling agents, multimodal support, human-in-the-loop pause/resume, and JWT-secured real-time streaming- Built an agentic SDLC platform orchestrating multi-stage LLM agents (ideation, design, code-gen, preview) via Cursor CLI on FastAPI + arq/Redis + PostgreSQL, with codebase-grounded analysis and sandboxed Docker preview environments.
EDUCATION
Ryerson University
Bachelor of Engineering - BE, Computer Engineering
ABOUT HAMID HARIS
As a Software Developer at IBM, I build and maintain Docker images, micro-service deployments, REST APIs, and interactive single page applications using various technologies such as AWS, Java, Spring Boot, Kafka, MongoDB, Angular.Js, and React.Js. I have reduced testing time by 25%, increased deployment efficiency by 50%, and increased user engagement by 25% through my work.Previously, I was a Solution Developer at Deloitte, where I designed, planned, and migrated customer on-premises data centres/applications to Microsoft Azure, resulting in a 20% reduction in infrastructure costs. I also developed REST APIs using ASP.NET Core, enhanced legacy applications using C#, created Azure Function Apps, and used Azure Service Bus and Amazon SQS bridges to communicate between different cloud platforms. Before that, I was an Assistant Software/Electrical Engineer at SciCan, where I developed and ported applications using Python and C in an event-driven architecture using MQTT and Kafka, and created and maintained fully automated CI/CD pipelines using TeamCity, resulting in a 35% reduction in deployment time.I graduated from Ryerson University with a Bachelor of Engineering in Computer Engineering in 2021. I have also obtained certifications in Security Clearance, Azure Fundamentals, and AWS Solutions Architect. I am passionate about learning new technologies and solving complex problems using cloud and web development. I am a team player, a quick learner, and a self-starter who strives to deliver high-quality solutions that meet customer needs and expectations.
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