Muhammad Naveed Ashfaq
@muhammadnaveedashfaq
I build production agentic AI, LLM, RAG, and vector-search systems.
What I'm looking for
At Coding Cops, I lead architecture and delivery for enterprise agentic AI products, building LangGraph-based agents, persistent memory, vector-search pipelines, and MCP integrations for customer-facing releases.
I've led Ronin for 2Quip, a Claude-powered voice and chat agent platform across four product surfaces, and Calculum, an AI procurement-negotiation SaaS using self-hosted Qwen, LangGraph, Qdrant, and FastAPI. I also built Lango, a real-time healthcare voice AI platform using WebRTC, Kafka, Pinecone, and LangGraph.
Before AI-focused work, I built event-driven backend systems at Strategic Systems International and production platforms in logistics, real estate, and cloud applications. I bring seven years of software experience, four-plus years in applied AI/ML, and an MS in Artificial Intelligence from LUMS.
Experience
Work history, roles, and key accomplishments
Senior AI Engineer / Tech Lead
Coding Cops
Jul 2024 - Present (2 years 1 month)
Lead engineer across multiple concurrent AI products, owning end-to-end architecture, agent design, delivery, and presales solution design for enterprise clients. Implemented persistent memory, vector-search pipelines, and MCP servers for production agentic AI systems.
Senior Software Engineer
Strategic Systems International
Jan 2022 - Jul 2024 (2 years 6 months)
Built and maintained event-driven backend systems for a logistics client using NestJS and Kafka, improving data-transfer efficiency by ~20%. Translated product requirements into production code, reducing reported bugs by ~15% and partnering with DevOps to cut deployment time by ~25%.
Software Engineer
Graana.com
May 2021 - Oct 2021 (5 months)
Led a revamp of a real-estate marketplace platform, adding modules and improving performance. Implemented AWS CI/CD pipelines that reduced deployment time by ~30%.
Backend Developer
Neural Soft Solutions
Sep 2019 - Apr 2021 (1 year 7 months)
Built backends for cloud-based, multi-device-sync applications covering order/sales management, inventory control, and financial reporting, improving processing speed by ~25%.
Education
Degrees, certifications, and relevant coursework
LUMS - Syed Babar Ali School of Science & Engineering
Master of Science, Artificial Intelligence
2024 -
Pursuing MS in Artificial Intelligence with thesis on Tumbling-Window In-Context Prediction for cellular traffic forecasting, achieving 33.9% MAE reduction over baseline.
University of Central Punjab
Bachelor of Science, Computer Science
2014 - 2019
Completed BS in Computer Science with final-year project on blockchain-based provenance system for pharmaceutical supply chains.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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