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Faizan Arshad

@faizanarshad

Message

AI Engineer shipping production LLM, RAG, and agentic systems—end to end from architecture to AWS deployment.

Pakistan

Message

What I'm looking for

I am looking for a team where I can own end-to-end production AI—RAG/LLMs/agentic workflows, strong engineering practices, and Dockerized AWS deployment—while collaborating cross-functionally and building full-stack tools that deliver measurable value.

I am an AI Engineer with an MS in Computer Science and more than four years of experience shipping production AI systems, including RAG pipelines, LLM-powered chatbots, agentic workflows built on LangGraph, and multimodal applications combining speech, vision, and text. I have also published research in Springer conference proceedings, and I am comfortable owning the full lifecycle—from architecture and model integration to Dockerized deployment on AWS.

In my recent work, I have designed scalable document retrieval pipelines using LangChain and OpenAI, built and deployed full-stack web applications with Node.js and React.js, and delivered AI consulting across healthcare, finance, and technology as a Top Rated freelancer. I have also built interactive model dashboards with Streamlit/Gradio/Tableau and done data analysis and pricing work using Python, R, SQL, and Tableau, which keeps my solutions practical for stakeholders and end users.

Experience

Work history, roles, and key accomplishments

Current

AI Engineer, RAG & LLM Specialist

Current

Upwork

Feb 2021 - Present (5 years 5 months)

Designed and deployed production-ready RAG/LLM systems and full-stack web applications for clients across healthcare, finance, and technology. Built LangChain/OpenAI retrieval pipelines, developed an LSTM-based Armenian text classification model, and delivered end-to-end Stripe/Firebase payment and authentication features.

RAG LLM LLMs (LangChain OpenAI API Vector Databases Python Full Stack Web Development Stripe Firebase Authentication

AI & Data Science Engineer

National Aerospace Science & Technology Park

Apr 2023 - Jun 2025 (2 years 2 months)

Designed and deployed machine learning and deep learning models in Python using TensorFlow and PyTorch, packaging solutions for production with MLflow and Docker. Built interactive dashboards in Streamlit, Gradio, and Tableau and applied predictive modeling and time-series forecasting to support process optimization and stakeholder KPI discussions.

Python TensorFlow PyTorch MLFlow Docker Streamlit Gradio Tableau predictive modeling Time Series Machine Learning Deep Learning Stakeholder Management Dashboards

Data Pricing Analyst

Home Equity Options LLC

Feb 2021 - Mar 2023 (2 years 1 month)

Analyzed property data from Zillow, PropertyRadar, and Google Earth to identify high-value acquisitions for clients. Built Python/R data cleaning and statistical pipelines and an interactive Tableau dashboard, using SQL to retrieve and consolidate data across databases.

Python Pandas R Tableau Data Cleaning Statistical Analysis SQL Dashboarding PropertyRadar PROPERTY RADAR

Visiting Lecturer

BUITEMS

Mar 2019 - Jan 2021 (1 year 10 months)

Taught courses in computer programming/software applications, Python for data science, and R programming for data analysis. Coached IT in business subjects within the Business Administration Department.

Programming Python R Data Science Data Analysis Teaching

Education

Degrees, certifications, and relevant coursework

Google

Google Data Analytics Professional Certificate, Data Analytics

Completed the Google Data Analytics Professional Certificate in 2023.

BUITEMS, Quetta

Master of Science, Computer Science

2017 - 2019

Master of Science in Computer Science at BUITEMS (2017–2019) with a thesis on improving the validity of disaster-related information by identifying correlations among social media streams; published in Springer conference proceedings.