
kaiful wara
@kaifulwara
I build offline RAG, agentic AI, and computer vision solutions for enterprise deployments.
What I'm looking for
I've designed technical solutions for 10+ enterprise and government engagements at HyperNym, spanning defense, healthcare, industrial, energy, and government sectors. My work includes an air-gapped offline RAG chatbot using Mistral 7B, llama.cpp, and ChromaDB, AI-agent infrastructure for predictive maintenance, and an ATM computer-vision system for threat-object detection.
I'm currently an AI & Robotics Fellow at Murabbi, where I design and teach applied ML, automation, Python, and robotics modules for government-school STEM curricula. I also built an agentic RAG benchmarking system using LangChain, Qdrant, and RAGAS that improved relevancy by 28% and context recall by 64% over baseline.
Experience
Work history, roles, and key accomplishments
AI & Robotics Fellow
Murabbi
Mar 2026 - Present (6 months)
Designed and taught applied ML, automation, and embedded-systems learning modules for a grades 6–12 STEM curriculum in government schools. Adapted module difficulty and pacing based on learner progression data.
Education
Degrees, certifications, and relevant coursework
COMSATS University Islamabad
Bachelor of Science, Computer Engineering
2021 - 2025
Bachelor of Science in Computer Engineering from COMSATS University Islamabad, completed from Fall 2021 to Spring 2025.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Portfolio
github.com/kaifulwaraaJob categories
Skills
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