Maaz

Generative AI Engineer with hands-on experience building LLM-powered applications, agentic pipelines, and RAG systems using LangChain and LangGraph. Combines practical AI/ML engineering skills with a strong foundation in Python automation, cloud platforms (GCP), and production debugging. Experienced in working within ML-heavy environments at Labelbox, diagnosing complex pipeline issues, and integrating AI tooling into developer workflows.

Currently deepening expertise in multi-agent AI systems, tool-calling, and LLM evaluation frameworks.

Associate Machine Learning Support Engineer at Labelbox (2025-04 – 2026-02)

• Diagnosed and resolved complex ML pipeline and platform issues for AI practitioners, leveraging Python SDKs, BigQuery, Datadog, and LogRocket across the full support lifecycle.
• Developed custom Python automation scripts using the Labelbox SDK to unblock customer workflows, demonstrating practical ability to build and ship Python tooling rapidly.
• Queried and analyzed large datasets using MySQL and BigQuery to trace root causes of data ingestion, annotation, and model pipeline failures.
• Surfaced recurring ML platform pain points to product and engineering teams, directly influencing platform roadmap through structured feedback loops.
• Collaborated with cross-functional ML engineering teams on escalated technical issues, building familiarity with real-world ML workflow requirements and platform architecture.

Alignerr Support Specialist at Labelbox (2024-12 – 2025-04)

• Managed 60–80 technical, billing, and platform inquiries daily via Intercom, resolving issues within SLA targets while maintaining high customer satisfaction.
• Identified systemic user pain points and translated them into actionable Help Center content, reducing repeat inquiry volume and improving self-service outcomes.
• Demonstrated technical aptitude by escalating and resolving complex platform issues cross-functionally, contributing to a promotion into the ML Support Engineer role within 4 months.

Web Developer Intern at Quintero Solutions (2024-02 – 2024-11)

• Built and maintained web applications using HTML, CSS, JavaScript, PHP, and WordPress; integrated MySQL databases for dynamic content management.
• Gained foundational experience in version control (Git), cross-browser debugging, and agile development workflows within a professional team environment.

B.Tech in Computer Science & Engineering – Jamia Hamdard (2020 – 2024)