J
Jason Iqbal
About
Detail
Miami, Florida, United States
Résumé
Jobs
verified_user
0% verified
Applied AI EngineerSierraJan 2022 - Current (4 years 6 months)• Designed and deployed LLM powered applications using RAG and agent workflows to improve accuracy and reduce manual effort. • Owned the full AI system lifecycle, from data ingestion and ETL to APIs, optimizing retrieval and response performance. • Architected modular AI systems with clear APIs, enabling faster development and experimentation. • Implemented guardrails and validation layers to reduce hallucinations and improve reliability. • Built internal AI assistants to automate workflows and streamline repetitive tasks. • Collaborated with product and data teams to deliver scalable AI solutions aligned with business needs. • Developed evaluation frameworks with logging and feedback loops to improve system quality. • Integrated multiple L- Generative AI EngineerJasperJul 2019 - Dec 2021 (2 years 6 months)• Designed and deployed LLM powered applications using RAG and agent workflows, improving response quality and enabling reliable automation across business use cases. • Built end to end AI systems from data ingestion to API delivery, optimizing retrieval pipelines, embeddings, and response generation for consistent production performance at scale. • Engineered multi step agent workflows using LangChain and LangGraph, enabling dynamic tool usage and contextual reasoning for complex tasks. • Developed evaluation and monitoring systems with prompt testing, logging, and feedback loops to continuously improve model performance in production environments. • Implemented structured prompting and validation layers to reduce hallucinations and improv
- Agentic AI EngineerAdeptJun 2017 - Jun 2019 (2 years 1 month)• Designed and deployed agent based AI systems across multiple industries including finance, healthcare, and customer operations building tailored solutions aligned with domain specific workflows and constraints. • Built and orchestrated multi agent systems where specialized agents (retrieval, reasoning, action) collaborate to solve complex business problems, enabling scalable and modular architectures. • Developed high precision RAG pipelines for different use cases, customizing chunking, embeddings, and retrieval logic based on dataset structure and requirements. • Created evaluation frameworks to benchmark models, prompts, and full agent systems, enabling consistent measurement of performance, reliability, and cost across deployments. •
Education
verified_user
0% verified
- BBachelor in Computer Science
Projects (professional or personal)
verified_user
0% verified
- EEnterprise Document Intelligence & RAG Platform• Built an end to end RAG system for processing unstructured documents, enabling accurate Q&A and summarization. • Optimized retrieval using advanced chunking, embeddings, and hybrid search techniques. • Developed APIs and backend services for low latency, reliable AI powered insights. • Implemented guardrails and validation layers to reduce hallucinations and ensure consistent outputs.
- AAutonomous Multi Agent Workflow Automation System• Designed a multi agent system using LangGraph where retrieval, reasoning, and action agents collaborate to automate complex workflows. • Built RAG pipelines with vector search to provide real time, context aware insights from unstructured data. • Developed monitoring and evaluation pipelines with logging and feedback loops to improve agent performance and reliability.