Hanzala Rs

AI/ML Engineer with experience building multi-agent LLM systems, voice and text RAG pipelines, event-driven streaming, and computer vision applications. Currently working on full-stack ML microservices, local open-source LLM integrations (Ollama), and production deployments using Docker, Qdrant, and Linux. Experienced in taking complex AI projects from architectural design to deployment.

Junior ML & DevOps Developer at wAI Industries (incl. ISSM.AI) (2026-08 – Present)

• Offered regular full-time employment following internship to handle ML integrations and server operations.
• Containerized python microservices using Docker and Docker Compose for production setups.
• Prepared builds, created patches, and deployed applications directly onto client-dedicated Ubuntu Linux servers.
• Handled day-to-day server maintenance and updates to keep customer environments running smoothly.

Machine Learning Engineer Intern at ISSM.AI (2025-10 – 2026-08)

• Built FastAPI endpoints for real-time model inference, streaming response handlers, and data processing pipelines.
• Researched model improvements to optimize inference speed and output accuracy across client products.
• Built web scrapers and cleaned unstructured data to construct vectorizable datasets for RAG systems.
• Integrated LLM and ML features into production client platforms based on technical requirements.

BS in Data Science – DHA Suffa University (2022 – 2026)