J
Jason Iqbal
About
Detail
Miami, Florida, United States
Résumé
Jobs
verified_user
0% verified
Applied AI EngineerSierraJan 2022 - Current (4 years 10 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 qu- 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 hallu - 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
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.