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Hi, I'm Ansel Jackson, an AI Engineer with over 10 years of experience designing and deploying state-of-the-art AI solutions powered by large language models. I've had the opportunity to work on impactful projects across healthcare, CRM automation, and education, creating tools like clinical chatbots that streamline complex workflows and improve user satisfaction. I enjoy architecting scalable systems and solving complex problems using responsible AI principles and robust MLOps frameworks. My passion lies in building reliable AI-powered applications that make a real difference across industries, and I’m always eager to collaborate and learn new things in this fast-evolving field.…Hi, I'm Ansel Jackson, an AI Engineer with over 10 years of experience designing and deploying state-of-the-art AI solutions powered by large language models. I've had the opportunity to work on impactful projects across healthcare, CRM automation, and education, creating tools like clinical chatbots that streamline complex workflows and improve user satisfaction. I enjoy architecting scalable systems and solving complex problems using responsible AI principles and robust MLOps frameworks. My passion lies in building reliable AI-powered applications that make a real difference across industries, and I’m always eager to collaborate and learn new things in this fast-evolving field.

Ansel Jackson

AI Engineer, Developer, Cloud Developer, +2

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Hi, I'm Ansel Jackson, an AI Engineer with over 10 years of experience designing and deploying state-of-the-art AI solutions powered by large language models. I've had the opportunity to work on impactful projects across healthcare, CRM automation, and education, creating tools like clinical chatbots that streamline complex workflows and improve user satisfaction. I enjoy architecting scalable systems and solving complex problems using responsible AI principles and robust MLOps frameworks. My passion lies in building reliable AI-powered applications that make a real difference across industries, and I’m always eager to collaborate and learn new things in this fast-evolving field.…Hi, I'm Ansel Jackson, an AI Engineer with over 10 years of experience designing and deploying state-of-the-art AI solutions powered by large language models. I've had the opportunity to work on impactful projects across healthcare, CRM automation, and education, creating tools like clinical chatbots that streamline complex workflows and improve user satisfaction. I enjoy architecting scalable systems and solving complex problems using responsible AI principles and robust MLOps frameworks. My passion lies in building reliable AI-powered applications that make a real difference across industries, and I’m always eager to collaborate and learn new things in this fast-evolving field.

Available to hire

Hi, I’m Ansel Jackson, an AI Engineer with over 10 years of experience designing and deploying state-of-the-art AI solutions powered by large language models. I’ve had the opportunity to work on impactful projects across healthcare, CRM automation, and education, creating tools like clinical chatbots that streamline complex workflows and improve user satisfaction.

I enjoy architecting scalable systems and solving complex problems using responsible AI principles and robust MLOps frameworks. My passion lies in building reliable AI-powered applications that make a real difference across industries, and I’m always eager to collaborate and learn new things in this fast-evolving field.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Beginner

Language

English

Fluent

Chinese

Advanced

Work Experience

Customer Engineer | AI Software Engineer at Google Cloud – Vertex AI

May 31, 2025 - July 21, 2025

Spearheaded the development of a QLoRA-tuned large language model stack for CRM automation, reducing hallucination rates by 30% and improving response accuracy. Designed a scalable Retrieval-Augmented Generation pipeline, enhancing semantic retrieval quality by 35%. Architected multi-agent orchestration workflows to automate customer relationship workflows with dynamic memory injection. Innovated fallback logic to reduce factual drift by 25%, boosting chatbot reliability. Automated embedding retraining pipelines using infrastructure-as-code tools for near-zero downtime. Delivered low-latency chatbot front-end maintaining p95 latency below 200ms at scale. Built observability frameworks for realtime monitoring, drift detection, and safety interventions. Led integrations with CRM platforms to increase automation efficiency by 45%. Scaled Vertex AI pipelines across multiple regions to reduce deployment time. Developed prompt evaluation dashboards for continuous optimization based on user f

Founding AI Engineer at Stealth Startup

September 30, 2023 - July 21, 2025

Directed end-to-end LLM research and development for a clinical chatbot, fine-tuning LLaMA-2 models achieving 92% grounding accuracy. Engineered scalable, secure medical RAG systems for rapid retrieval from 100,000+ EHRs. Designed agentic triage workflows orchestrating LLM agents for diagnosis support, consent summarization, and scheduling. Built a PHI-compliant chatbot platform with Next.js, FastAPI, and Vertex AI, reducing prior authorization times by 40%. Implemented Responsible AI safeguards to mitigate AI risks in healthcare. Managed containerized inference endpoints on GKE with autoscaling and automated CI/CD pipelines. Established clinician human-in-the-loop QA pipelines for continuous model improvement. Integrated synthetic patient data for training augmentation. Delivered technical demonstrations to hospital networks and coordinated multidisciplinary teams for compliance and quality.

Energy Analytics | Lead NLP Engineer at Guidehouse

February 29, 2020 - July 21, 2025

Developed LSTM- and BERT-based anomaly detection pipelines for smart meter and EV charging data. Modeled energy grid resilience using graph neural networks and Bayesian forecasting, informing infrastructure investments. Designed interactive dashboards for resilience policy and disaster recovery. Enhanced forecasting accuracy by 30% with real-time NOAA environmental data integration. Built reproducible data science notebooks with DVC and MLflow. Tuned forecasting with Bayesian optimization and tree-based models. Provided insights to federal regulators on climate impacts and energy trends. Led cloud migration to serverless AWS Lambda improving scalability and cost efficiencies. Engineered robust ETL pipelines using SQLAlchemy and Snowflake. Contributed to IEEE smart grid standardization working groups.

AI-powered Data Engineer at PwC

April 30, 2019 - July 21, 2025

Designed LLM-assisted data entry tools to auto-extract CRM records boosting analyst productivity by 30%. Built scalable ETL and anomaly detection pipelines on MemSQL. Led NLP workflow tagging and semantic classification for audit automation using spaCy and custom models. Developed chatbot prototypes providing consulting teams quick domain knowledge access. Created real-time dashboards with D3.js and Tableau to identify bottlenecks and compliance risks. Architected ingestion schemas with Apache Beam for rapid client onboarding. Deployed containerized microservices via Docker Compose for multi-tenant consistency. Improved complex SQL query speed ensuring GDPR, SOX, and data governance compliance. Authored thought leadership on AI in risk management and compliance. Trained junior analysts on NLP and distributed ML frameworks.

Software Engineer at Lycos Inc.

June 30, 2018 - July 21, 2025

Led design and development of voice interface AI modules integrated with Twilio enhancing telecom chatbots. Architected real-time streaming pipelines with Kafka and Spark Streaming for call metrics and anomaly detection. Developed RESTful APIs and dashboards for operational decision support. Applied unsupervised learning for customer churn and escalation routing optimizations. Managed Kubernetes deployments for scalable ML models ensuring high availability. Maintained CI pipelines with CircleCI and Google Cloud Build. Conducted A/B testing for call script and conversational UX improvements. Collaborated with engineers to embed ML insights into call routing and latency management. Used Hugging Face Transformers for transcription, intent classification, and sentiment analysis. Designed monitoring systems with Prometheus and Grafana for proactive operational alerts.

Full-Stack Cloud Developer Intern at Taiwan Semiconductor Manufacturing Company (TSMC)

April 30, 2015 - July 21, 2025

Developed cloud-native microservices with Node.js, Express, and MongoDB for real-time manufacturing analytics. Created interactive dashboards with Vue.js for fab line monitoring. Implemented secure OAuth2-based REST APIs integrated with internal identity systems. Automated CI/CD pipelines using Jenkins and Docker improving deployment speed. Optimized data ingestion pipelines for telemetry data improving latency and throughput by 20%. Developed monitoring and alerting solutions with Prometheus and Grafana enabling fab equipment anomaly detection. Participated in agile development cycles delivering features that enhanced fab efficiency. Authored technical documentation and led knowledge transfer for new interns on cloud development best practices.