Faraz Waseem
Principal Gen Ai Architect @United Airlines
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WORK HISTORY
Principal Gen Ai Architect @United Airlines
San Francisco, CA, US
Lead Gen AI Center of Excellence (CoE), defining enterprise strategy for LLM-driven multi-agent systems and DSPy-based prompt optimization frameworks- Architect Marsian Agentic Platform integrating LangGraph, CrewAI, and Graph RAG with Neo4j knowledge graphs, enabling real-time orchestration across 50+ AI workflows with 65% performance improvement- Built Marsian Genie: Revolutionary DSPy-powered prompt optimization system achieving 65% task success rate improvement and 75% reduction in manual prompt engineering time through automated signature definition and MIPRO optimization- Designed AI Proxy Gateway routing 1M+ daily LLM requests across multiple providers (OpenAI, Anthropic, AWS Bedrock) with intelligent model selection reducing operational costs by 40%- Implemented Graph-Enhanced RAG using Neo4j with 10M+ entities and semantic memory architecture enabling multi-hop reasoning and 45% improvement in contextual relevance- Designed secure A2A & MCP protocols for agent-to-agent collaboration across enterprise apps (Ops, CX, HR) with advanced world models integration using NVIDIA Cosmos- Implemented comprehensive observability stack (LangSmith, Prometheus, Grafana, WhyLabs) for monitoring agent performance, prompt effectiveness, drift, bias, and hallucinations- Optimized agent performance with LoRA/QLoRA fine-tuning on Llama 3.1 and Claude 3.5, distillation, quantization (INT8/FP16), ONNX, TorchScript achieving 35% domain-specific improvements- Built policy-driven safety framework leveraging NVIDIA Guardrails, red teaming protocols, and multimodal reasoning capabilities.
EDUCATION
Boston University
MS, Computer science
Stanford University
post graduate studies., Artificial Intelligence and machine learning
NED University of Engineering and Technology
Electrical Engineering
University of Washington
post graduate studies, Natural language processing
Hamdard University
Masters in information technology
SKILLS
ABOUT FARAZ WASEEM
Results-driven Senior Data Science and Machine Learning Manager with over 22+ years of experience in machine learning platform architecture, deep learning, and big data analytics. Proven track record in leading teams of data scientists and machine learning engineers to develop innovative solutions across various domains. Expertise in generative A.I, LLM, feature engineering, predictive modeling, explainable AI, and ML lifecycle management. Passionate about building scalable machine learning systems with a focus on explainability and ML Ops architecture.Specialties: Machine learning architecture, GPT and generative A.I, Auto ML and feature engineering, Explainable A.I, distributed systems, pytorch, Python, Scala, big data(spark), noSQL databases(Cassandra), kafka, Kubernetes, micro-services, computer vision and machine learning models.
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