Ghalib Bajwa

About Ghalib Bajwa

Artificial Intelligence Engineer and Data Science graduate student with over 7 years of experience designing and deploying production-grade AI systems and scalable data platforms across the financial services and tech sectors. I have architected end-to-end solutions—from data ingestion and vector databases to multi-agent orchestration and cloud deployment—for organizations such as PNC Financial Services and various high-growth startups. My work bridges technical depth with operational strategy, delivering high-impact solutions in compliance (KYC, HIPAA), automated banking workflows, and real-time anomaly detection.Currently, I apply advanced techniques like Retrieval-Augmented Generation (RAG), LoRA fine-tuning, and agentic frameworks (LangChain, CrewAI, AutoGen) to solve complex problems in high-frequency data environments. Whether I am building secure, compliant AI agents that reduce manual review effort by over 40% or designing knowledge graph-based reasoning workflows, I focus on transitioning proof-of-concept systems into resilient, scalable production-ready solutions. I thrive at the intersection of machine learning, cloud infrastructure, and business innovation—constantly optimizing AI systems to be faster, smarter, and more reliable.

Experience

1. Ai Ml Engineer

   PNC

   Aug 2024 — Present · TX, US

   Architected and deployed enterprise-grade AI agents powered by GPT-4 and Mistral to automate KYC validation, compliance reviews, and high-stakes internal banking workflows.Scoped and authored technical requirements for multi-agent orchestration pipelines using LangChain, CrewAI, and AutoGen, translating complex financial operations into actionable task decompositions.Implemented advanced Retrieval-Augmented Generation (RAG) solutions, integrating proprietary banking documents with FAISS and ChromaDB to enable context-grounded, real-time conversational AI.Optimized core financial analysis by fine-tuning LLaMA 2 models via LoRA (PEFT), significantly improving system performance for regulatory interpretation and risk analysis tasks.Enhanced fraud and compliance strategies by engineering Chain-of-Thought (CoT) prompt frameworks and AI guardrails, reducing manual review effort by over 40% while maintaining strict adherence to regulatory standards.Deployed secure, FastAPI-based microservices to integrate AI agents with legacy enterprise systems, ensuring reliable REST API communication and high availability on AWS and GCP.Led comprehensive evaluation cycles and monitoring pipelines using MLflow, tracking model drift, accuracy, and latency to ensure system stability in production-grade financial environments.Developed intelligent data extraction pipelines using Tesseract OCR and GPT-4, automating the processing of ID cards and financial forms to drive operational intelligence and cut manual overhead.Championed Agile development within a specialized innovation unit, coordinating the transition of proof-of-concept AI systems into scalable, production-ready banking solutions.Authored technical documentation and designed conversational memory systems using Redis, facilitating multi-step financial reasoning and ensuring continuity across complex user sessions

Education

• Concordia University-St. Paul

  Master's degree

• Karachi Institute of Economics & Technology (KIET)

  Bachelor's degree, Computer Science

  2017