Looks like you have JavaScript disabled. For the full Twine experience, you will need to re-enable it.

I am a dynamic AI leader with 7 years of experience driving machine learning innovations, especially in NLP and computer vision, building scalable systems and optimizing ML pipelines. I enjoy guiding cross-functional teams of engineers and data scientists, delivering impactful ML features across 70+ projects and SaaS products. I am proficient in Python, TensorFlow, and cloud platforms, and I thrive on turning complex problems into practical, business-aligned solutions. I advocate for collaboration and strong project management, and I introduced MLOps practices and AI governance to streamline feature releases. I enjoy building cost-efficient AI infrastructure, achieving faster inferences and better user experience, and partnering with cloud providers to unlock enterprise-grade capabilities. I regularly communicate ROI and progress to executives to ensure alignment with strategic goals.…I am a dynamic AI leader with 7 years of experience driving machine learning innovations, especially in NLP and computer vision, building scalable systems and optimizing ML pipelines. I enjoy guiding cross-functional teams of engineers and data scientists, delivering impactful ML features across 70+ projects and SaaS products. I am proficient in Python, TensorFlow, and cloud platforms, and I thrive on turning complex problems into practical, business-aligned solutions. I advocate for collaboration and strong project management, and I introduced MLOps practices and AI governance to streamline feature releases. I enjoy building cost-efficient AI infrastructure, achieving faster inferences and better user experience, and partnering with cloud providers to unlock enterprise-grade capabilities. I regularly communicate ROI and progress to executives to ensure alignment with strategic goals.

Asif Javeid

Full Stack Developer, AI Engineer, AI Developer, +2





I am a dynamic AI leader with 7 years of experience driving machine learning innovations, especially in NLP and computer vision, building scalable systems and optimizing ML pipelines. I enjoy guiding cross-functional teams of engineers and data scientists, delivering impactful ML features across 70+ projects and SaaS products. I am proficient in Python, TensorFlow, and cloud platforms, and I thrive on turning complex problems into practical, business-aligned solutions. I advocate for collaboration and strong project management, and I introduced MLOps practices and AI governance to streamline feature releases. I enjoy building cost-efficient AI infrastructure, achieving faster inferences and better user experience, and partnering with cloud providers to unlock enterprise-grade capabilities. I regularly communicate ROI and progress to executives to ensure alignment with strategic goals.…I am a dynamic AI leader with 7 years of experience driving machine learning innovations, especially in NLP and computer vision, building scalable systems and optimizing ML pipelines. I enjoy guiding cross-functional teams of engineers and data scientists, delivering impactful ML features across 70+ projects and SaaS products. I am proficient in Python, TensorFlow, and cloud platforms, and I thrive on turning complex problems into practical, business-aligned solutions. I advocate for collaboration and strong project management, and I introduced MLOps practices and AI governance to streamline feature releases. I enjoy building cost-efficient AI infrastructure, achieving faster inferences and better user experience, and partnering with cloud providers to unlock enterprise-grade capabilities. I regularly communicate ROI and progress to executives to ensure alignment with strategic goals.

Available to hire

I am a dynamic AI leader with 7 years of experience driving machine learning innovations, especially in NLP and computer vision, building scalable systems and optimizing ML pipelines. I enjoy guiding cross-functional teams of engineers and data scientists, delivering impactful ML features across 70+ projects and SaaS products. I am proficient in Python, TensorFlow, and cloud platforms, and I thrive on turning complex problems into practical, business-aligned solutions.

I advocate for collaboration and strong project management, and I introduced MLOps practices and AI governance to streamline feature releases. I enjoy building cost-efficient AI infrastructure, achieving faster inferences and better user experience, and partnering with cloud providers to unlock enterprise-grade capabilities. I regularly communicate ROI and progress to executives to ensure alignment with strategic goals.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Work Experience

Senior Software Engineer at WorkOS Via Bit N Byte

March 1, 2023 - Present

Led AI strategy and innovation roadmap for a construction-tech platform, guiding 15+ engineers and data scientists to deliver high-impact product capabilities. Drove revenue growth by introducing AI-powered automation, predictive analytics, and LLM-driven experiences, boosting MRR by $20K and increasing customer retention by 35%. Designed scalable, cloud-efficient AI infrastructure reducing operational costs by 40% and improving platform performance. Implemented MLOps practices and an AI governance framework, cutting feature release cycles from 8 weeks to 3 weeks. Built cost-efficient LLM integration with prompt optimization and smart caching, lowering inference expenses by 63% while handling 100K+ monthly requests. Enhanced end-to-end AI system performance, reducing inference times from 11s to 4s. Fostered partnerships with cloud/AI vendors and communicated progress and ROI to C-suite.

Senior Machine Learning Engineer at CyberCoder

October 1, 2018 - March 1, 2023

Led development of 60+ ML solutions across NLP, computer vision, and predictive analytics, resulting in 5 fully deployed AI SaaS products in live production. Built scalable AI pipelines on AWS and GCP using Docker, Kubernetes, and serverless tech, supporting 10M+ transactions per month. Improved NLP model accuracy by 35% via transformer-based approaches and domain fine-tuning. Created a complete MLOps framework with automated CI/CD, reducing deployment time from 3 days to 4 hours and achieving 99.8% uptime. Cut cloud spending by 28% through optimized model serving and autoscaling. Accelerated training cycles by 50% with distributed computing and hyperparameter tuning. Mentored junior ML engineers to improve coding standards and production readiness.