Stack
AI & Machine Learning
End-to-end model work — training, evaluation, deployment, and monitoring for intelligent products.
Available for opportunities
Mohsin Raza
AI / Full Stack Engineer
Scalable AI backends, ML pipelines, and full-stack products — from data to deployment. I design, train, and deploy production AI — from LLM agents to computer vision pipelines.
Kowloon, Hong Kong SAR
15+
Years engineering
4+
Industries
Python
Core stack
About
Turning research into real products
15+ years across enterprise software, speech AI, computer vision, and production ML — now focused on full-stack intelligent products.
AboutWhat I doAI-focused full-stack engineer with 15+ years building ML systems, intelligent automation, and production APIs.
- Backend AI services, REST APIs, and model deployment at scale
- ML pipelines for NLP, classification, sentiment, and recommendations
- Distributed data processing with Spark, Hadoop, and feature engineering
- Full-stack delivery with Python, TensorFlow, PyTorch, and modern web stacks
AboutBackgroundCareer spanning enterprise software, speech & vision AI, and agency delivery — always data-driven and production-minded.
- SenseTime & iFLYTEK — intelligent products and ML in production
- Kingsoft Office — backend systems and enterprise data services
- Sayeef Digital Agency — AI automation and scalable ML for UK clients
- BSc Artificial Intelligence, Harbin Institute of Technology
Skills
Technical expertise
Eight core stacks from my resume — ML, NLP, backends, data platforms, databases, and cloud delivery.
Stack
Deep Learning
Neural networks for production AI — from research prototypes to deployed models at SenseTime and agency clients.
Stack
NLP & Text AI
Language-centric ML from iFLYTEK speech products to agency pipelines for classification, sentiment, and recommendations.
Stack
Backend & APIs
Reliable Python and Java services that wrap ML — REST APIs, microservices, and enterprise backend systems.
Stack
Frontend & Full Stack
Product-facing layers that connect users to AI backends — modern web stacks for intelligent applications.
Stack
Data Engineering
Pipelines and platforms that feed models — batch, distributed processing, and analytics at scale.
Stack
Databases & Storage
Persistent data layers for AI products and enterprise platforms — relational, document, and in-memory stores.
Stack
Cloud & DevOps
Ship and run AI workloads on modern infrastructure with repeatable delivery practices.
Experience
Career journey
A condensed view of my career — agency AI delivery, SenseTime, iFLYTEK, and enterprise software at Kingsoft.
Jan 2023 — Present
Software Engineer
Sayeef Digital Agency UK
London Area, United Kingdom
Build AI-powered backends and ML-driven automation for client products — from model pipelines to production REST APIs.
- ML pipelines for text classification, sentiment analysis, and recommendation systems.
- Distributed processing with Hadoop and Spark; feature engineering and model performance monitoring.
- FastAPI services and Dockerized deployments for intelligent applications.
2019 — Mar 2026
Artificial Intelligence Engineer
SenseTime
Shenzhen, Guangdong, China
Developed intelligent systems and production ML for automation, prediction, and analytics across cross-functional product teams.
- Built and optimized TensorFlow / PyTorch models for real-world AI applications.
- Backend AI integration, data pipelines, and production model deployment.
- Improved accuracy, efficiency, and reliability through continuous system optimization.
2013 — 2019
Data Technology Specialist
iFLYTEK
Hefei, China
Supported intelligent products with data analysis platforms, backend processing, and scalable analytics workflows.
- Data-driven initiatives for system efficiency and user experience.
- Backend data processing and operational optimization with technical teams.
- Python, SQL, and distributed analytics for speech & AI product lines.
2008 — 2013
Software Engineer
Kingsoft Office
Beijing, China
Enterprise backend software and data services — stability, scalability, and performance for office productivity platforms.
- Backend systems and data processing for large-scale enterprise users.
- Collaborated on optimization, maintenance, and reliable delivery with engineering teams.
- Java and SQL stack for core office product infrastructure.
Projects
Selected work
Swipe through shipped work — each card cycles live screenshots from the portfolio.
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Client feedback
What teams say about the work
Real testimonials from collaborators — swap in your own quotes, photos, and project names when you are ready to ship.
View projects1/5
Patrick Lo Mun Kin
Chief Executive, Trans World Radio Hong Kong
“Mohsin helped us modernize our digital touchpoints without disrupting daily broadcast operations. The new experience is faster for our team and clearer for listeners across Hong Kong.”
