Matthew Yeseta
[c. 2000] Clever Circle, Asarefi
About
Author of prospectus for Strategic proposal on Parallel Exponential Weath Growth Framework for sovereign fund strategies to deliver beyond 6000% investment via 95% returns beyond modern algorithms probability investment systems that only return below 20% verses my strategies that return over 500% to 6000% long turn. Investment Manager Growth Advisor Gen AI ML Architect Manager for delivery of LLM Models, LangSmith LLMChain for Gen AI solutions. Delivered bidirectional encoding BERT transformer LLM. Developed HuggingFaces encoded/weights and was architect for RAG Retrieval Augmented Generation on external library retrieve. Managed AI LLM prompts & HyDE LLM semantics prompts for engineering ChatGPT. Managed development use Pinecone Vector database for indexing solutions. As Gen AI Architect & Prompt Engineer, offer my proven track record of enhancing model performance and driving innovation in AI applications. Advanced Prompt Engineering: Implemented Dynamic Learning Rate Scheduling and Mixed-Precision Training, leading to improved convergence and the ability to handle larger datasets. Model Optimization: Applied gradient accumulation techniques to stabilize training processes, resulting in enhanced model robustness. Fine-Tuning Expertise: Utilized LoRA and PERF methodologies for domain-specific fine-tuning, optimizing training through layer-wise learning rate decay and dynamic adjustments, which reduced training time and elevated performance. Role-Based Agent Development: Designed adaptive response agents and crafted scenario-based prompts, employing Few-Shot and One-Shot Prompting to improve AI adaptability across various tasks. Security and Compliance: Integrated Garak for automated security scanning to identify and mitigate vulnerabilities, ensuring robust defense against adversarial attacks and data leakage. Bias Detection and Fairness: Leveraged Giskard for bias detection and fairness assessments, ensuring models adhere to ethical AI standards and compliance requirements. Dataset Development: Created specialized datasets for model training, facilitating seamless integration and boosting model performance. Ethical AI Deployment: Fine-tuned Guardrails prompts on Large Language Models (LLMs) to ensure safe, reliable, and ethical AI outputs, employing Reinforcement Learning from Human Feedback (RLHF) and multi-stage training filters to eliminate harmful or biased content. I am passionate about advancing AI technologies and am eager to collaborate on projects that push the boundaries of what's possible in the field of artificial intelligence.
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United States
Management Consulting
Fine Tuning LLM, Gen AI, Generative, RAG, AI Manager, Analytics Manager, Medical Imaging, Signal Processing, YOLO, Image Processing, Statistical Data Analysis, Data Visualization, Business Strategy, Tableau, Digital Marketing, Marketing, Project Management, Business Analysis, R (Programming Language), Data Architecture
Experience
[c. 2000] Clever Circle, Asarefi
Clever Circle
United States
* Key impact new business products. Leading Investments Management Growth Invention on new 95% trading strategies for potential money trends that can return exponential returns beyond modern ML algorithms in innovative thinking trading strategies * GenAI Architect for RAG pipelines leveraging GPT-4, LangChain, and advanced embeddings for predictive insights. * Deployed AI solutions on Azure and AWS, utilizing SageMaker, Lambda, and Redshift for seamless data processing. * Led the integration of AI models for fraud detection, IoT analysis, and multi-modal applications (GAN, NLP). * Manage hands on leadership for building GPT prompt engineering multi-agent conversational chats with PERF LoRA fine tuning * GenAI Design & Architecture: Provide Prompt Engineer strategic direction, Orchestration, LLM tuning for optimized AI solutions. * GenAI Implementation: Develop and deploy ChatGPT, AWS Bedrock, and Azure OpenAI-based solutions tailored business use cases. * Prompt & Vector Databases: Design Prompt Templates & Vector DB for text-to-SQL, document processing, API-based text generation. * Architect developed prompt engineering with LoRA, PERF : Gen AI Python layer-wise learning rate decay to enhance model convergence & efficiency, mixed-precision training, gradient accumulation, dynamic learning rate scheduling, * Developed Garak automated security scan for vulnerabilities, adversarial attacks, data leakage, PyRIT evaluate diverse adversarial prompts * AI Innovation: Leverage expertise in life sciences, commercial AI, and marketing analytics to drive AI-powered brand engagement. * Implemented secure workflows, reducing LLM vulnerabilities, and ensuring robust context alignment. LLM Hallucination reduction
[c. 2018] Snowball
Asarefi Snowball Athena Intelligence
United States
* Key impact on increasing revenue streams and 150% computer retention, loyalty, reducing churn Athena: * Gen AI Architect for delivering GPT-3/GPT-4 financial analytics, increasing customer knowledge and user engagement by 200%. * Developed building GPT prompt engineering multi-agent conversational chats, Role based agents prompts, Adaptive Responses Agent Roles, Scenario based prompts, Few-Shot Prompting, One-Shot Prompting, develop tasks in Gen AI Python * PERF LoRA, Architect developed prompt engineering with LoRA, PERF: dynamic learning rate scheduling, mixed-precision training, gradient accumulation, layer-wise learning rate decay to enhance model convergence & efficiency, robustness across diverse tasks Gen AI Python * Optimized RAG pipelines with LangChain and LoRA for contextual accuracy and relevance. LLM Hallucination reduction * Technical Expertise: Extensive hands-on experience with Python, PySpark, and Snowflake for scalable AI and data-driven applications. * Team Leadership & Management: Lead onsite teams, assign task, track progress coordinating with offshore teams seamless execution. * Cross-Functional Collaboration: Work with business teams to understand use cases, define requirements, deliver GenAI solutions. * Designed microservices architectures in Kubernetes, Docker, and ETL pipelines for scalable deployments. * Utilized Giskard bias detection, fairness assessments, Giskard automated testing robustness against adversarial prompts effective * Developed multi-modal solutions integrating financial models with IoT and NLP analytics.
Gen AI Architect
Snowball.money, Athena Intelligence
United States
* Gen AI Architect for engineered LLM-based solutions for urban planning, integrating GPT for semantic geo-spatial analysis. * Managed team to built RAG pipelines with Azure Data Factory and Pinecone for scalable IoT data integration. * Leadership & Execution: Oversee on-premise/remote AI teams, distribute responsibilities, drive project milestones to completion. * Business Align: Partner with cross-functional teams to translate business use cases into real-world GenAI applications. * Architect developed prompt engineering with LoRA, PERF: dynamic learning rate scheduling, mixed-precision training, gradient accumulation, layer-wise learning rate decay to enhance model convergence & efficiency, robustness across diverse tasks Gen AI Python * Developed PyRIT evaluating against diverse adversarial prompts, Garak automated security scan vulnerabilities, adversarial attacks, data leakage * Fine tune Guardrails prompts on LLM for safe, reliable, ethical stds using RLHF, multi-stage train filters for harmful or biased content * Utilized Giskard bias detection, fairness assessments, Giskard automated testing robustness against adversarial prompts effective * Enterprise Stakeholder Engagement: Foster strong relationships with corp leaders, ensuring AI projects align strategic business initiative * Developed building GPT prompt engineering one-shot, memory agent, multi-agent conversational chats PERF/LoRA fine tuning * Managed deployments in Azure and AWS, ensuring high availability and compliance with security standards.
[c. 2012-15] Nimbler. [c.2005, 2008-11] Kaiser Permanente
Nimbler Kaiser Permanente
United States
* Data Science Manager, Data Scientist Machine Learning, Image Processing, Clinical Laboratory, Data Architect, Medical Image object detection processing * Impact insurance claims business analytics: lead auto insurance business problem designing claims product analytics, leader in auto insurance actuarial data intelligence, to manage claims credit risk insights on Property (auto) & Casualty (auto) insurance * Information Technology Manager Chief IT Manager technology investments for portfolio road-maps products for business revenue, services serving worldwide investment. Comprehensive assessment analysis portfolio target investment road-maps. * Developing investment portfolio road-maps, project proposal that involved technology for healthcare data services, digital products. * Marketing designed key campaign channels, segmentation analysis: increased customer retention, loyalty, branding revenue streams via strategic marketing mix analytics targeted customer engagement that increased loyalty, retention up 150%
Education
Michigan State University
Management Strategy Leadership
Indiana University Bloomington
Data Science
University of Oklahoma
M.S Industrial Engineering Systems
Matthew Yeseta's Contact Information
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