A

A Saqib Rehman

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Orlando, Florida, United States

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Résumé


Jobs verified_user 0% verified
  • C
    Senior Full-Stack Developer
    C-Vetted
    Jan 2024 - Current (2 years 8 months)
    Architected and deployed AI Native web applications on GCP, leveraging Python-based microservices and React.js frontends. Engineered LLM orchestration workflows using LangChain to automate complex data vetting processes. Developed RAG (Retrieval-Augmented Generation) pipelines for internal document analysis, integrating Google Cloud Storage and BigQuery for scalable data ingestion. Implemented Vertex AI for model serving and experimentation, ensuring high-quality inference through rigorous telemetry and logging.
  • Ping Identity
    Full-Stack Engineer
    Ping Identity
    Jan 2022 - Jan 2024 (2 years 1 month)
    Developed enterprise-grade web services and React-based dashboards for identity management. Collaborated with cross-functional teams to integrate NLP models into authentication workflows, improving security through pattern detection. Managed full application lifecycle on cloud infrastructure, implementing CI/CD pipelines and containerization using Docker to streamline deployments. Participated in Agile Scrum ceremonies, documenting technical designs for complex microservices and API integrations.
  • Pax8
    Full-Stack Developer
    Pax8
    Jan 2020 - Jan 2022 (2 years 1 month)
    Built and scaled cloud marketplace features using Python, React, and FastAPI. Integrated machine learning models for predictive analytics, utilizing Google Cloud services for data pipelines and batch processing. Optimized application performance by migrating legacy components to modular architectures. Enhanced observability across the stack by implementing structured logging and monitoring for AI-driven features in production environments.
  • N
    Software Engineer, AI Systems
    Northbeam Analytics
    Jan 2018 - Jan 2019 (1 year 1 month)
    Engineered data pipelines for batch scoring and experimentation. Developed internal web tools to visualize AI output metrics, enabling product teams to iterate on model performance and prompt effectiveness in an Agile environment.
  • S
    Machine Learning Engineer
    Signal Arc Labs
    Jan 2016 - Jan 2018 (2 years 1 month)
    Focused on NLP for search and ranking, implementing semantic search capabilities using early vector indexing techniques. Developed ML models with PyTorch and Scikit-learn, focusing on reducing latency and improving data quality for production-grade document understanding tools.
Education verified_user 0% verified
  • U
    Master of Science
    University of Colorado, Colorado Springs
    Jan 2018 - Jan 2020 (2 years 1 month)
  • U
    Bachelor of Science
    University of Colorado, Colorado Springs
    Jan 2014 - Jan 2018 (4 years 1 month)
Projects (professional or personal) verified_user 0% verified
  • C
    Chain-of-thought orchestration framework
    Engineered a chain-of-thought orchestration framework with LangGraph for complex multi-step reasoning tasks in expert systems.
  • A
    Automated data connector
    Built an automated data connector for structured/unstructured ingestion into Pinecone for semantic search applications.
  • H
    Human-in-the-loop fine-tuning workflows
    Implemented human-in-the-loop fine-tuning workflows on GCP to align LLM outputs with specific enterprise compliance requirements.
  • R
    RAG-based search engine
    Developed a RAG-based search engine using LangChain, Vector databases (FAISS), and GCP Vertex AI to reduce manual search time by 40%.
  • P
    Production-grade inference API
    Shipped a production-grade inference API using FastAPI and React.js, featuring real-time drift monitoring and prompt evaluation hooks.