Talha Niazi
@talhaniazi
I build production AI systems, LLM evaluation workflows, and GPU-accelerated local inference tools.
What I'm looking for
I've built production AI systems across Turing, Buildables, and NACTA, from adversarial LLM evaluation suites to automated NLP ingestion pipelines. My work focuses on reliable reasoning, tool use, schema compliance, retrieval accuracy, and safety boundaries.
At Buildables, I lead technical roadmaps and architecture for machine learning and generative AI applications, while mentoring engineering tracks on scalable NLP workflows, transformer fine-tuning, and structured agent frameworks.
I also co-founded Alif AI, an agentic EdTech RAG platform, and published VulkanIlm, an open-source Python wrapper for GPU-accelerated local llama.cpp inference on Vulkan-capable hardware. I build with Python, FastAPI, PyTorch, TensorFlow, PostgreSQL, pgvector, Docker, and C++.
Experience
Work history, roles, and key accomplishments
Designed complex multi-turn system prompts and adversarial test suites to evaluate foundation model reasoning, tool use, and safety boundaries. Engineered rigorous datasets for AI agents specializing in strict schema compliance, function calling, and structured JSON outputs.
Education
Degrees, certifications, and relevant coursework
National University of Modern Languages (NUML)
Bachelor of Science, Artificial Intelligence
Pursuing a Bachelor of Science in Artificial Intelligence with an expected graduation in January 2027.
Availability
Location
Authorized to work in
Salary expectations
Social media
Job categories
Skills
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