Muhammad Asif
AI Engineer (Generative AI & Backend Systems)
Pakistan
Summary
👤
Senior🎓
Top SchoolMuhammad Asif is an AI Engineer with 9 years of experience building production-ready generative AI and backend systems, specializing in RAG pipelines, LLM integrations, and scalable API services. He architects end-to-end solutions that combine LLMs (OpenAI, Anthropic, LLaMA, Mistral) with knowledge graphs and ontology-driven designs to improve retrieval quality and contextual reasoning in real-world deployments. Skilled in FastAPI, Docker, vLLM optimization, and multi-agent streaming pipelines, he focuses on latency reduction, failure handling, and securing systems against prompt injection. His work spans document processing, conversational agents, computer vision, and AI-driven automation for domains like finance, where he’s implemented real-time decision APIs and agentic workflows. Based in Pakistan, he pairs hands-on backend engineering with structured-knowledge approaches to move prototypes into resilient, high-concurrency production services.
8 years of coding experience
1 year of employment as a software developer
BS AI, Artificial Intelligence, BS AI, Artificial Intelligence at National University of Computer and Emerging Sciences
Github Skills (17)
simulation10
logistics10
energy10
agent-based-modeling10
vehicle-routing-problem10
mobility10
modeling10
modelica9
autonomy7
spring-boot4
hibernate3
java3
liquibase2
mysql2
database2
Programming languages (2)
Github contributions (3)
LBNL-UCB-STI/beam
May 2017 - Aug 2018
The Framework for Modeling Behavior, Energy, Autonomy, and Mobility in Transportation Systems
Contributions:76 commits in 1 year 3 months
transportationagent-based-modelingmobilityautonomytransportation-systems
JantonZeng/beam
Nov 2018 - Nov 2018
The Framework for Modeling Behavior, Energy, Autonomy, and Mobility in Transportation Systems
Contributions:3 commits in 1 day
transportationmobilityautonomyelectrical-engineeringtransportation-systems
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