Raza Hamid
@razahamid2003
Applied AI and backend engineer building reliable RAG systems, machine learning pipelines, FastAPI services, and production automation.
What I'm looking for
I'm an applied AI and backend engineer focused on systems that are reliable, measurable, and ready for real users. My core strengths are Python, FastAPI, retrieval-augmented generation, machine learning, data pipelines, and automated testing.
For a confidential public-sector client, I delivered an air-gapped RAG platform with hybrid retrieval, local model serving, multi-format ingestion, background jobs, and citation validation. It returned cited answers in a median 3.6 seconds and was tested through 53 unit tests and a 136-probe adversarial evaluation suite. I have also built Great Expectations data-quality tooling with GitHub Actions, a CatBoost lead-qualification workflow, and an Android/Node.js marketplace with Firebase, Stripe webhooks, and 68 automated tests.
I hold a BS in Computer Science from LUMS. My research includes an ICONIP 2026-accepted extended abstract on a 155-class crop-disease ensemble, and I scored in the 96.7th percentile on the HEC national Computer Science competency test. I'm targeting remote roles in applied AI, LLM/RAG engineering, machine learning, backend engineering, and AI product development.
Experience
Work history, roles, and key accomplishments
Machine Learning Engineer
Confidential Government Client
Dec 2025 - Present (8 months)
Architected and built an 18,000-line Python backend as a layered FastAPI service for an air-gapped retrieval platform, implementing persistence, indexing, and job scheduling from scratch. Authored 53 unit tests and a 136-probe integration suite, achieving median end-to-end response of 3.6 seconds.
Education
Degrees, certifications, and relevant coursework
Lahore University of Management Sciences (LUMS)
Bachelor of Science, Computer Science
2022 - 2026
Pursuing a BS in Computer Science with coursework in software engineering, advanced programming, operating systems, databases, theory of automata, and machine learning.
Tech stack
Software and tools used professionally
Postman
GitHub
GitHub Actions
NumPy
Pandas
MongoDB
SQLite
Node.js
Android SDK
.NET
pre-commit
Figma
Gradle
axios
JavaScript
Java
Kotlin
JSON
PyTorch
MLflow
scikit-learn
Streamlit
FastAPI
Linux
Windows
Firebase
Socket.IO
JUnit
Uvicorn
SQL
Espresso
CatBoost
React Router
Biome
Pydantic
Groq
Great Expectations
Vite
Resend
Black
Bash
Glide
Column
Android
Availability
Location
Authorized to work in
Website
razahamid2003.github.ioPortfolio
github.com/Razahamid2003Social media
Job categories
Skills
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