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hamaz_09

Hamaz Mubashar

@hamaz_09

AI Automation Engineer building RAG Chatbots, LLM Apps and n8n Workflows

Pakistan
Inglese, Urdu, Punjabi
Alcune informazioni sono riportate in lingua inglese.
Chi sono
I build practical AI tools for small businesses: RAG chatbots that answer from your PDFs and documents with source citations, OpenAI and Gemini LLM integrations, and Python and n8n automations that remove repetitive work. Projects you can review: a document Knowledge Assistant with page citations, LeadFlow AI (live lead intake and scoring demo), FlowPilot AI (n8n workflow), plus ML forecasting and fraud detection. I am new on Fiverr, so I keep scope clear, test before delivery, and hand over source code with setup notes. Message me first and I will confirm what fits your budget.... Continua a leggere

Competenze

h
hamaz_09
Hamaz Mubashar
offline • 

Consulta i miei servizi

Sviluppo di chatbot IA
I will build a rag ai chatbot for your pdfs and business documents
Pulizia dei dati
I will clean and analyze your excel and csv data with python

Portfolio

Esperienza lavorativa

Self-Employed_/ Freelancer

AI Automation and LLM Engineer (Independent Projects)

Self-Employed / Freelancer • Freelance

Sep 2025 - Present • 1 yr 2 mos

Independent AI engineering projects focused on RAG chatbots, LLM integration and workflow automation, each built end to end and documented on GitHub. - Knowledge Assistant: RAG over company PDFs with hybrid search, page-level citations and role-based access (FastAPI, PostgreSQL/pgvector, Docker). Built as an unpaid pilot for a real client. - LeadFlow AI: lead intake, scoring and human-approved reply drafts (FastAPI, SQLite), running as a live demo. - FlowPilot AI: n8n lead-intake workflow with AI steps. - RetailPulse 360, StreamIntel 360 and FraudDetection360: forecasting, churn, NLP, recommendation and fraud detection models on large public datasets.

Stylo

Machine Learning Engineer Intern

Stylo

Apr 2026 - Aug 2026 • 4 mos

Completed a Machine Learning Engineer internship at Stylo, gaining practical exposure to machine learning workflows and AI problem-solving in a retail business environment. Built a working understanding of data preparation, model evaluation and applying data-driven methods to business problems.

Transcure

Revenue Cycle Management (RCM) Specialist

Transcure

Feb 2024 - Aug 2025 • 1 yr 6 mos

Progressed from Production to Accounts Receivable and Authorization & Eligibility before becoming an RCM Specialist covering all functions. Handled around 100 claims per day, managed and analyzed weekly and monthly reports, and coordinated with healthcare providers. This is where I learned to work with real operational data, deadlines and process accuracy.