P
Paul Lang
About
Detail
Punjab, Pakistan
Résumé
Jobs
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Senior Generative Al EngineerFactorialMay 2022 - Current (4 years 6 months)Designed and deployed RAG pipelines using embeddings and FAISS/Chroma to power enterprise knowledge assistants.Built LLM-based REST APIs with Docker and Kubernetes for scalable generative services, increasing Al feature adoption by 15%.Implemented agentic Al workflows with LangChain and AutoGen for multi-step HR decision automation.Developed LLM fine-tuning pipelines for domain-specific tasks, reducing hallucination rates by measurable amounts during evaluation.Orchestrated training and experimentation using Airflow and Spark, shortening iteration cycles by 60%.Integrated vector databases (Pinecone) and Azure Blob Storage for scalable retrieval and document storage.Architected prompt engineering and automated evaluation frameworks for compl- Applied Machine Learning EngineerReliaQuestJan 2019 - Apr 2022 (3 years 4 months)Built supervised models for threat detection using Scikit-learn and XGBoost, improving detection accuracy by 22%.Constructed NLP pipelines with spaCy and BERT for log analysis and root-cause summarization across security alerts.Optimized inference with ONNX and TorchScript to reduce production latency by 40%.Implemented CI/CD and model tracking using Jenkins and MLflow to automate training-to-deployment workflows.Developed feature stores and ETL pipelines feeding ML models using Kafka and Airflow for reliable data ingestion.Collaborated cross-functionally to translate operational requirements into model specifications and monitoring SLAS.Evaluated and integrated vector similarity search for retrospective incident analysis and automated summ
- Data EngineerLuminar TechnologiesJul 2016 - Dec 2018 (2 years 6 months)Built Spark-based ETL pipelines and Kafka ingestion to process high-throughput LIDAR datasets, increasing throughput 3x.Designed cloud-native data architecture and storage strategies for multi-terabyte datasets.Prepared and labeled datasets for ML teams, reducing preprocessing time by 40%.Implemented data quality checks and feature engineering pipelines to support downstream model training.
Education
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- B.S., Computer ScienceUniversity of FloridaAug 2012 - May 2016 (3 years 10 months)Achievements: NLP research lab, ACM MemberCoursework: Machine Learning, Cloud Computing, Big Data Analytics