Justin Blankenship
Waterford,MI
Summary
Innovative AI Developer with 10 years of experience engineering advanced predictive analytics for eCommerce platforms. Engineered AI algorithms increasing actionable insights by 35% and improving predictive accuracy by 40% through the use of Python, TensorFlow, and NLP techniques. Seeking the position of Senior Agentic AI Developer to leverage skills in Conversational AI to drive strategic enhancements and empower eCommerce solutions with tailored insights.
Overview
6
6
years of professional experience
Work History
Senior Agent AI Developer
Noogata
12.2024 - 05.2025
- Engineered advanced AI algorithms to drive predictive analytics for eCommerce platforms, increasing actionable insights by 35% and enhancing strategic decision-making through seamless integration with Noogata's digital shelf tools.
- Developed and implemented machine learning models that improved predictive accuracy by 40%, leveraging Python, TensorFlow, and NLP techniques to enrich Noogata's AI-powered recommendations and optimize eCommerce team workflows.
- Spearheaded the deployment of real-time analytics systems that boosted data processing speed by 50%, integrating agentic AI capabilities into Noogata's platform to empower eCommerce users with tailored insights and strategic guidance.
Conversational AI Architect
Humane
04.2023 - 10.2024
- Architected a robust conversational AI framework that enhanced user engagement by 25%, utilizing technologies such as NLP, machine learning, and sentiment analysis to deliver seamless, contextually aware interactions across multiple consumer touchpoints.
- Engineered a real-time voice recognition system that reduced response latency by 30%, employing advanced machine learning algorithms and cloud-based processing to ensure seamless user interaction across devices.
- Developed an adaptive dialogue management system that improved user satisfaction scores by 35%, leveraging cutting-edge neural network models and integrating with Humane's hardware to provide seamless multi-device experiences.
AI Systems Engineer
Forward (CarePods)
03.2021 - 02.2023
- Devised an intelligent routing algorithm that optimized logistics operations, decreasing delivery time by 20% and enhancing accuracy using machine learning frameworks and real-time data processing.
- Engineered and deployed machine learning models that enhanced predictive analytics for logistics solutions, boosting operational efficiency by 25% through the integration of TensorFlow and Python-based frameworks.
- Integrated neural network architectures into existing logistics frameworks, elevating predictive accuracy by 30% and facilitating real-time decision-making using TensorFlow and PyTorch libraries.
Machine Learning Developer
Spotlight Therapeutics
08.2019 - 02.2021
- Spearheaded the development of a recommendation system that increased user engagement by 35%, utilizing deep learning techniques and collaborative filtering methods implemented in Python and TensorFlow over a six-month period.
- Engineered an advanced predictive model for biologic compound optimization, achieving a 25% increase in accuracy of target cell identification using machine learning algorithms and neural networks within an eight-month timeframe.
- Architected a data preprocessing pipeline that reduced data preparation time by 50%, leveraging Python's Pandas and NumPy to streamline feature extraction for gene editing projects, consequently accelerating project timelines by two months.
Education
Bachelor of Science - Computer Science
University of Michigan
01.2013
Master of Science - AI & Machine Learning
University of Michigan
01.2015
Skills
- Agent Systems & AI Architecture
- LLM prompt engineering
- Chain-of-thought workflows
- Conversational AI
- Dialogue state management
- Intent detection
- Slot-filling
- Multimodal integrations
- On-device agent deployment
- Edge agent deployment
- Offline-first systems
- Team leadership
- Technical strategy
- Documentation
- IP preservation
- Cross-org stakeholder management
- Deep learning frameworks
- TensorFlow
- PyTorch
- JAX
- APIs
- OpenAI
- Anthropic
- LangChain
- Ray
- Rasa
- Cloud / Infra
- AWS
- Lambda
- ECS
- EKS
- GCP
- Docker
- Kubernetes
- CI/CD
- GitHub Actions
- Data selection
- Labeling
- Evaluation pipelines
Personal Information
Title: Senior Agentic AI Developer
Timeline
Senior Agent AI Developer
Noogata
12.2024 - 05.2025
Conversational AI Architect
Humane
04.2023 - 10.2024
AI Systems Engineer
Forward (CarePods)
03.2021 - 02.2023
Machine Learning Developer
Spotlight Therapeutics
08.2019 - 02.2021
Bachelor of Science - Computer Science
University of Michigan
Master of Science - AI & Machine Learning
University of Michigan
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