Zain Ali Siddiqui
@zainalisiddiqui
AI researcher and engineer specializing in generative models and production systems.
What I'm looking for
I am an applied AI researcher and engineer focused on building production-ready generative AI systems, retrieval-augmented pipelines, and multimedia cloning solutions. I have developed Perplexity-style retrieval systems, audio cloning with real-time streaming and interruption handling, and optimized video cloning inference for faster performance.
I bring hands-on experience from on-site and remote roles, national award-winning projects in smart energy forecasting, and contributions to LLM-based recommender and debugging assistants. I prioritize robust engineering, model optimization, and delivering measurable accuracy and latency improvements for real-world deployments.
Experience
Work history, roles, and key accomplishments
AI Applied Research Engineer
QLU.AI
Jul 2025 - Oct 2025 (3 months)
Developed a Perplexity-style retrieval system with Gemini 2.5 Flash and Serper, built real-time audio cloning and streaming pipelines, and engineered an AI avatar recruitment pipeline; optimized video cloning inference achieving 1.8x speedup and reduced average response time to 4 seconds.
Contributed to three projects (Bee LLM, Competitive Coder, Dolphin Genesis), improved LLM chatbot contextual responses, and designed/trained an AI code-debugging assistant to better identify and explain programming errors.
Education
Degrees, certifications, and relevant coursework
FAST NUCES
Bachelor of Science, Computer Science
2021 - 2025
Activities and societies: Relevant coursework: Data Structures; Analysis & Algorithms; Artificial Intelligence; Deep Learning; Object Oriented Programming; Database (SQL); Data Science; Recommender Systems.
Pursuing a Bachelor of Science in Computer Science with coursework in data structures, algorithms, AI, deep learning, databases, and recommender systems; expected graduation May 2025.
Availability
Location
Authorized to work in
Job categories
Skills
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