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muhammadumar1

Muhammad Umar

@muhammadumar1

Bubble SaaS MVP Developer

Pakistan
English, Arabic, Urdu
About me
Most SaaS ideas fail because the first version takes too long or costs too much. I help non technical founders turn ideas into working SaaS apps using Bubble. This is not a mockup. You get a real web app with logins, payments, and an admin dashboard that you can actually use. I usually build MVPs with user accounts, Stripe payments, dashboards, and optional AI features. If you want to launch fast, validate your idea, and avoid hiring a full dev team, send me a message and tell me what you want to build.... Read more

Skills

m
muhammadumar1
Muhammad Umar
Offline • 

See my services

Full Stack Web Applications
I will build an ai powered saas mvp in bubble
Full Stack Web Applications
I will build an ai powered CRM system for your business in bubble

Work experience

Artificial Intelligence Engineer

Kahunas • Full-time

Mar 2024 - Jul 20244 mos

• Developed an AI Coaching Assistant using deep learning techniques, including transformer models (BERT, GPT) for advanced natural language understanding and generation, and RNNs (LSTMs) for context-aware dialogue management, personalized recommendations, proactive alerts, and predictive analytics, driving client progress and automating progress reports. • Incorporated Retrieval-Augmented Generation (RAG) to enhance response quality by integrating external knowledge sources, improving the accuracy and relevance of personalized recommendations and predictive analytics. • Built and deployed ML models to classify activity, sleep stages, and stress from wearable sensor data, optimized for real-time edge deployment. • Implemented natural language generation for real-time coaching insights and efficient conversation management, while establishing continuous learning feedback loops to refine decision-making algorithms through integrated machine learning and NLP models.

Emaar

Software Engineer

Emaar • Full-time

Aug 2022 - Jan 20241 yr 5 mos

• As a Senior Backend Engineer, Designed and delivered a production-grade automation service for receipt analysis using OCR (Tesseract/AWS Textract) and NLP with SpaCy, transforming unstructured purchase receipts into structured, automation-ready financial data. • Implemented comprehensive automated testing procedures using PyTest, which led to a significant 20% reduction in bugs reported after deployment. • Optimized application performance by implementing advanced coding techniques and meticulous database optimization strategies, successfully reducing load times by up to 40%

Software Engineer

Alrajhi Education • Full-time

Aug 2019 - Jun 202010 mos

• Developed and optimized deep learning models for image and speech recognition projects, achieving 91% accuracy • Developed and maintained RESTful and SOAP web services for smooth communication between applications.