Isaac Hussain
@isaachussain
Senior AI/ML Engineer building production-grade LLM systems, RAG pipelines, and agentic workflows for measurable outcomes.
What I'm looking for
I’m a Senior AI/ML Engineer with 8+ years architecting and deploying large-scale machine learning and GenerativeAI platforms across AWS, Azure, and GCP. I specialize in production-grade LLM systems, RAG pipelines, and agentic AI workflows that deliver measurable business outcomes.
In my recent role, I architected multi-cloud LLM MLOps platforms supporting enterprise-scale GenAI applications. I designed and deployed agentic AI workflows (LangGraph, MCP/A2A) to enable autonomous enterprise operations.
I’ve driven practical accuracy and compliance improvements through governed AI architectures—reducing hallucinations by ~45% and improving compliance automation by ~55%. I also built full-stack GenAI solutions (FastAPI, Next.js), cutting development cycle time by ~30%, while implementing enterprise-grade security (IAM, KeyVault, encryption).
Across the ML lifecycle, I own end-to-end delivery—from data engineering and model development to deployment, evaluation, and optimization. I’m focused on enabling AI-first product strategies and delivering reliable, high-performance LLM systems at enterprise scale.
Experience
Work history, roles, and key accomplishments
Lead Generative AI
ClarionTech
Nov 2023 - Present (2 years 7 months)
Architected a multi-cloud LLM MLOps platform across AWS, Azure, and GCP, building agentic workflows and hybrid-retrieval RAG pipelines that reduced hallucinations ~45%. Delivered governed GenAI solutions with security controls, cutting manual compliance operations by ~55% and reducing development cycle time by ~30%.
Applied AI Engineer
Markovate
Jun 2021 - Oct 2023 (2 years 4 months)
Built and deployed end-to-end AI/ML and early GenAI systems for enterprise clients, including RAG architectures, transformer-based NLP models, and semantic retrieval pipelines. Engineered low-latency real-time inference with Kafka/Spark and automated deployment/monitoring using MLflow and CI/CD via FastAPI microservices.
AI/ML Engineer
H20 AI
Sep 2019 - May 2021 (1 year 8 months)
Developed predictive ML models (GBM, CNNs, SVMs) for healthcare and analytics and built scalable PySpark/SQL feature engineering and ETL pipelines. Managed the full ML lifecycle with MLflow and deployed batch and real-time inference through APIs using versioning and experimentation.
ML Engineer
Quantiphi
Jan 2018 - Aug 2019 (1 year 7 months)
Built production ML pipelines for customer analytics and segmentation, performing large-scale data processing and statistical modeling for targeted campaigns. Optimized ML workload storage using Python/SQL with PostgreSQL and NoSQL, and delivered BI dashboards in Tableau and Power BI.
Education
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Isaac hasn't added their education
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