Abdullah R

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Senior Full-Stack Developer

C-Vetted

Jan 2024 - Current (2 years 8 months)

• Architecting AI-native applications leveraging Python and React.js. Leading the development of Generative AI features including RAG pipelines and agentic workflows using LangChain. Managing the full application lifecycle on GCP, utilizing Vertex AI for model serving and BigQuery for large-scale data processing. Implementing modular architectures to integrate LLMs with multi-tenant SaaS platforms while ensuring robust telemetry and logging.

Full-Stack Engineer

Ping Identity

Jan 2022 - Jan 2024 (2 years 1 month)

• Engineered enterprise-grade identity solutions integrating machine learning services. Developed and maintained microservices using Python and JavaScript to support high-traffic IAM workflows. Utilized Google Cloud Platform for deployment and containerization, collaborating in Agile Scrum environments to translate complex requirements into scalable technical designs and semantic search capabilities.

Full-Stack Developer

Pax8

Jan 2020 - Jan 2022 (2 years 1 month)

• Optimized cloud marketplace operations by building data pipelines and experimentation loops for predictive models. Developed full-stack features using Python, Django, and React.js. Focused on production stability through rigorous evaluation and testing of ML services, leveraging GCP SDKs to automate deployment and monitoring of intelligent internal tools.

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Software Engineer, AI Systems

Northbeam Analytics

Jan 2018 - Jan 2019 (1 year 1 month)

• Wired together early-stage AI features and data ingestion pipelines. Supported batch scoring and internal tooling for rapid prototyping of AI models, ensuring high-quality outputs through automated testing and validation.

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Machine Learning Engineer

Signal Arc Labs

Jan 2016 - Jan 2018 (2 years 1 month)

• Developed ML services for search and ranking using NLP techniques. Built document understanding pipelines focusing on low-latency inference. Specialized in data quality and consistency using PyTorch and Scikit-learn for production-grade model delivery.

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