Full-Stack Product Engineer
Turning complex requirements into AI-powered, scalable products. I specialize in AI Engineering and building E2E Full-Stack Products, from idea to production.
Get to know me better
Full-Stack Product Engineer specializing in AI Engineering and scalable web applications. I bridge the gap between complex user-stories and robust software architecture to take products from idea to production.
With a background spanning Full-Stack Development, Data Science and AI Engineering, I help startups and enterprises build retention-driven softwares that drive measurable business impact, not just features.
On the engineering side, I build scalable Django and FastAPI backends, agentic AI and RAG systems, and asynchronous pipelines with Celery and Redis, covering data integrity, API performance, and scalability in production.
Whether it's building a generative AI SaaS product from scratch, automating complex business workflows, or scaling backend infrastructure, I focus on delivering reliable, user-focused solutions that scale.
My professional journey
Taleemabad – Powered by Orenda
•Full-timeFull-stack delivery across Django, Retool, and AI pipelines for teacher training and assessment products.
Botnostic Solutions
•Full-timeData workflows, analytics, and test automation for internal and client-facing initiatives.
Botnostic Solutions
•InternshipData analysis and QA automation supporting program evaluation and product quality.
Some of my best work
LLM-as-a-judge for model outputs: upload a dataset, an LLM grades every row, get a shareable report with scores, reasons, and hallucination rate. Auto-routes RAG rows (Ragas) vs plain rows (DeepEval G-Eval).
Django REST API for interpreters and clients: JWT auth, bookings, bidding, cancellations, OpenAPI docs, chats, notifications and S3 document storage.
Agentic HR assistant with LangChain and Groq: leave and payroll workflows, RAG over policies with ChromaDB, RBAC, and audit logging.
SaaS platform generating AI chatbots for e-commerce: order tracking, product search, and personalized recommendations.
LSTM time-series model with preprocessing, feature engineering, and evaluation using RMSE and MAE.
A comprehensive overview of my technical proficiencies and tools I work with daily
My academic background
FAST National University of Computer and Emerging Sciences (NUCES)
Data Science
Relevant coursework: Agentic AI, Deep Learning, Data Mining, Data Warehousing & Business Intelligence, Data Analysis & Visualization.
Wherever you are in the world, let's work together on your next project.
Hi! I'm Mohammad Hammad Sarfraz. Ask me anything about my work, experience, or projects.