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Muhammad Qasim

AI Engineer · Building production AI systems that actually ship

I'm an AI Engineer specializing in agentic LLM systems, RAG architectures, and enterprise AI integrations. My core work is enterprise-grade AI: systems that don't just answer questions but take real actions against real enterprise APIs, with the security and cost discipline that requires. All projects are solo-built.

My flagship project, SF-Assistant, is a 28-tool conversational agent for SAP SuccessFactors — it queries SAP's OData API directly, automates parts of SAP's internal UI that have no public API at all, handles multiple concurrent browser sessions, and runs a 35-iteration agentic tool-use loop. It's live today with real users across ~50 client companies.

Alongside that, I built SFCodeBot, a completely separate multi-service AI platform for test-automation teams combining automated log analysis, natural-language Excel analytics, and a hybrid FAISS+BM25+Claude retrieval stack. I also built PakLaw AI, a legal-tech platform with RAG search and bilingual support, live with real user traffic.

Across all of these, I care a lot about the parts of AI engineering that don't show up in demos: prompt injection defense, sandboxing LLM-generated code before it runs, credential isolation, and keeping inference costs under control at scale.

GitHub →LinkedIn →Email →

What I focus on

AI Consulting

→AI adoption strategy for businesses
→Tool selection & workflow integration
→Multi-agent system design
→Local & private AI deployment

Engineering

→Full-stack AI agent & RAG systems
→Custom AI integrations with enterprise APIs
→Data pipelines & analytics infrastructure
→API design & system integrations

Content & Education

→1:1 mentorship for executives & founders
→Practical AI education with real use cases
→Approachable explanations for non-technical leaders
→Building AI systems that actually ship

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Skills & Technologies

AI & Machine Learning

LLM Integration & OrchestrationAgentic AI System DesignRAG ArchitecturesPrompt EngineeringHybrid Retrieval (Vector + Keyword)Intent Classification & Query RoutingMulti-Model FailoverContext EngineeringAWS Bedrock (Claude)Sentence TransformersLangChain

Backend & APIs

PythonFastAPIFlaskREST API DesignAsync Python (asyncio)Selenium AutomationSAP SuccessFactors OData APIDWR ParsingMicroservice Architecture

Data & Storage

FAISSChromaDBPineconeDuckDBSQLiteRedisPandas / Polars / NumPyCohere Embed v4

Cloud & DevOps

AWS (EC2, S3, Bedrock, Secrets Manager)DockerCI/CD (AWS CodePipeline)Linux Server DeploymentNginxSSL/TLS (Let's Encrypt)systemd

Security

Prompt Injection DefenseSandboxed Code ExecutionField-Level Encryption (OTP)Credential Isolation (ContextVar)Multi-Tenant ArchitecturePrivacy Compliance (PDPA 2023)

Frontend & Tools

ReactTypeScriptStreamlitPlotly / Altair / NetworkXGitClaude Code

How I work

Listen

I start by understanding where you are — your goals, your challenges, what you've already tried.

Map

I run structured discovery calls to understand how your business actually operates — tools, handoffs, and bottlenecks.

Build

We put it into practice phase by phase — each phase delivers something working before we move to the next.

Experience

AI Engineer

Net2Apps

Aug 2025 — Present

→Solely own end-to-end AI product development for enterprise HR clients — from requirements gathering and system architecture to production deployment and client support
→Built and deployed 3 production AI systems serving 50+ organizations processing 2,000+ AI-powered queries daily
→Reduced client operational costs by 70% through intelligent automation of SAP SuccessFactors troubleshooting and document analysis workflows
→Established production standards: CI/CD pipelines, monitoring infrastructure, and cost optimization protocols reducing cloud spending by 40% while maintaining 99.9% uptime

AI Engineer & Team Lead

RT Solutions

Apr 2024 — Jul 2025

→Designed and deployed 5+ AI/ML solutions including Transformer-based chatbots (GPT-3.5, Llama, Phi3), increasing user engagement by 40% and automating 80% of repetitive tasks
→Improved data preprocessing pipelines for structured and unstructured datasets, boosting model performance by 20%
→Developed automated anomaly detection systems with 95% accuracy
→Led a cross-functional team of 4 engineers; converted orchestrator logs into SQL databases for real-time monitoring, enhancing banking automation efficiency

RPA Developer

RT Solutions

Oct 2022 — Mar 2024

→Delivered 10+ large-scale RPA projects for banking and e-commerce, reducing processing time by 50%
→Automated workflows using Selenium, IBM Shell, and HTTP, increasing efficiency by 25%

Education

Bachelor of Science in Computer Science

FAST NUCES — Karachi

2018 — 2022

Majors: Data Structures, Analysis of Algorithms, Data Science, Machine Learning

Certifications

Supervised Machine Learning: Regression and Classification

Coursera

Neural Networks and Deep Learning

Coursera

Advanced Learning Algorithms

Coursera

Unsupervised Learning, Recommenders, Reinforcement Learning

Coursera

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