mbasim78
Senior Python Developer (Ai)
Senior Python Engineer & AI Specialist with 7+ years of experience in AI-driven applications, focusing on real-time voice agent systems, NLP, and automation. Proven expertise in building AI-powered voice communication platforms (STT, TTS, LLM integration) and deploying scalable back-end infrastructures (AWS, Docker, Kubernetes, LiveKit, Twilio). Skilled in workflow automation with n8n & Make.com, enabling low-code AI orchestration. Experienced in designing modular AI agents adaptable for non-technical users, with a strong record of enhancing client communication, and compliance.
Experience: 6 years
Yearly salary: $50,000
Hourly rate: $30
Nationality: 🇵🇰 Pakistan
Residency: 🇵🇰 Pakistan
Experience
AI Agentic/ML Software and Automation Specialist
Intakely AI 2024 - 2025
Developed multi-agent pipelines using Deepgram + OpenAI for real-time transcription and TTS. Set up the intake agent with 8 tools for complete intake automation up to appointment scheduling and rescheduling. Deployed LiveKit server & Twilio back-end to support law firm calling integrations. Designed flexible AI agent structures for easy customization by non-technical users.
NLP Engineer
Ayass BioSciences, LLC 2024 - 2024
Designed and deployed summary generation pipelines using GPT-4 and later migrated to LLaMA, cutting costs by 25% while increasing flexibility. Developed custom NLP workflows for clinical transcripts, achieving a 65% reduction in reading time for physicians. Ensured 99.9% uptime deploying models on RunPod, for scalability of biomedical systems.
ML Engineer
Ayass BioSciences, LLC 2023 - 2024
Built and validated ML pipelines (Decision Trees, ANN, SVM) across 20+ medical datasets, improving predictive accuracy by 23%. Oversaw data extraction and preprocessing pipelines, enhancing dataset readiness and analysis throughput by 30%. Integrated ML into real-time clinical analytics systems, increasing decision-making speed by 20%.
AI Integration Lead
OneStory 2023 - 2024
Spearheaded development of a Django-based AI-driven e-commerce platform featuring an intelligent NLP chatbot and a recommendation system, projected to increase user engagement by 30–40%. Designed and maintained Flask-based APIs to improve scalability and reduce latency across services by 20–30%. Integrated AI features for customer support and personalization, aiming to cut service tickets by 20–25% and improve satisfaction rates.
Skills
devops
docker
full-stack
kubernetes
postgres
prompt
python
system-engineer
ai
english