Transapp
Offline translation, transcription, and briefing platform for air-gapped environments.
I design and ship production AI systems for multilingual translation, speech transcription, document intelligence, and structured reporting — including air-gapped deployments. Stack includes Python, Django / FastAPI, Whisper, NLLB, RAG, and Next.js.
AI Engineer focused on offline-ready, production ML systems
I'm Muhammad Sawaiz — an AI Engineer and full-stack Python developer specializing in machine learning, NLP, and generative AI. I design and ship end-to-end pipelines with Django, FastAPI, Whisper, NLLB, and RAG for real production use.
My niche is air-gapped and self-hosted AI: translation, transcription, document intelligence, and structured reporting that run reliably without depending on public cloud APIs.
Languages: English · Urdu · Punjabi
Core focus on AI/ML systems and Python backends — supporting tools available on request
Selected systems in offline translation, document intelligence, and local speech analysis
Offline translation, transcription, and briefing platform for air-gapped environments.
Self-hosted document intelligence (RAG) with hybrid retrieval, citations, and OCR.
Local speech-to-text and structured analysis with summaries and speaker labeling.
Personal portfolio for AI engineering work in ML, NLP, and offline production systems.
More work on GitHub
Led 3+ AI products for translation and media processing. Built pipelines handling 1,000+ concurrent requests (30% faster), fine-tuned LLMs with 25–40% metric gains, and shipped RAG systems with 95%+ retrieval accuracy for production and air-gapped deployments.
Customized 15+ WordPress themes and plugins. Delivered 10+ SEO-optimized websites with payment integrations and client-focused feature work.
Graduate studies in computer science with focus on software systems and applied computing.
Undergraduate foundation in algorithms, software engineering, and computer systems.