Senior Machine Learning Engineer at RIOS Intelligent Machines

Architected production-scale computer vision pipelines using YOLO v8/v9 and PyTorch, achieving 98% accuracy in real-time defect detection for manufacturing robotics, processing 10M+ images daily. Designed advanced MLOps infrastructure with Kubernetes and Metaflow, reducing model deployment time by 70% and enabling continuous integration for ML workflows across edge devices. Implemented GPU-optimized data loaders with sequence-aware batching, improving training throughput by 40% while maintaining temporal consistency for time-series robotics data.

Senior Machine Learning Engineer at Unstructured IO

Spearheaded comprehensive benchmark study of 10+ Vision-Language Models (Claude 3.5, OpenAI GPT-4o/3.5, Gemini Pro), improving table structure recognition by 15% and boosting image-based text extraction by 20% through model selection optimization. Designed and deployed scalable multi-agent orchestration system using LangChain, AutoGen, and Pydantic AI, enabling collaborative LLM reasoning and reducing enterprise document processing time by 45%. Built end-to-end RAG pipeline integrating layout detection, PaddleOCR/Tesseract OCR, and PDF parsing, achieving 30% faster throughput across enterprise workflows. Fine-tuned transformer-based OCR models using LoRA on 11,000+ domain-specific technical PDFs, improving text accuracy by 12% and reducing missing text cases by 15% across mission-critical enterprise systems.

Lead Software Engineer — AI/ML at Sapient Logic

[DOD Classified] Architected OCR system processing over 5,000 field documents daily with 97% accuracy, enabling real-time intelligence extraction from captured images for critical Common Operational Picture (COP) updates. Engineered multilingual translation system that reduced intelligence processing time by 40% through optimized OCR integration, converting Russian, Arabic, Spanish, and Chinese documents to English with 92% semantic accuracy. Designed and implemented mission-critical intelligence requirements management system that decreased collection-to-analysis time by 65%, enabling semi-automated validation of intelligence assets.

Machine Learning Engineer — MLOps at RIOS Intelligent Machines

Architected and deployed AI-powered robotic workcells that increased manufacturing throughput by 25% across enterprise clients, successfully integrating computer vision systems with existing factory automation workflows. Developed custom computer vision algorithms that achieved 98% accuracy in part identification and defect detection, enabling real-time quality control for high-volume production environments. Designed scalable ETL pipelines processing 2TB+ compressed image data daily, reducing preprocessing time by 40% while maintaining data integrity for training mission-critical machine learning models.

Senior Software Architect at Speechlab AI

Architected high-throughput backend API infrastructure for large language models that scaled to handle 12M+ daily requests, reducing latency by 65% while supporting advanced AI reasoning capabilities across enterprise applications. Engineered fault-tolerant multilingual AI system processing content in 8 languages with asynchronous workflows, resulting in 40% user engagement increase and enabling seamless AI-powered localization for global enterprise clients. Designed and implemented AI-powered revenue optimization system with real-time streaming architecture that increased conversion rates by 30% and reduced processing errors by 85%.

Senior Software Engineer Technical Lead at Sapient Logic

Architected and implemented HIPAA-compliant Electronic Health Record (EHR) system that reduced patient registration time by 25%, streamlined clinical workflows across 4 healthcare facilities. Secured protected health information through custom multi-factor authentication and role-based access controls, ensuring compliance with healthcare data protection regulations.

Senior Data Engineer at Memetica

Designed and implemented end-to-end data transformation pipeline that collected and processed sensitive content from multiple platforms (Gab, Truth Social, 4Chan), incorporating advanced AI-powered text preprocessing logic and real-time data cleaning. Developed comprehensive monitoring ecosystem with fault-tolerant architecture combining EFK (Elasticsearch, Fluentd, Kibana) stack with Sentry.io integration, enabling real-time AI alerting and improving incident response time from hours to minutes.

NLP Engineer at Soul Machines

Engineered advanced conversational AI platform using RASA and Google Dialogflow CX that achieved 98% intent recognition accuracy across 12,000+ daily user interactions, reducing customer support costs by 35%. Implemented complex multi-turn dialogues with automated action fulfillment capabilities and continuous learning from user feedback, enhancing conversational experiences and improving user satisfaction.

Google Data Engineer at Collegis Education

Architected real-time ETL infrastructure in Google Cloud Platform that processed 250,000+ daily events from external APIs (Phoneburner, Five9, LMS Canvas), reducing data latency by 85%. Enabled automated decision workflows that improved data processing speed and accuracy for educational technology platform serving thousands of students by providing timely and precise data insights.

Machine Learning Engineer at Sapient Logic

[DOD Classified] Architected and deployed mission-critical security analytics platform using advanced NLP algorithms that mapped Tipping Point’s digital vaccines to the MITRE ATT&CK framework with 94% accuracy. Reduced false-positive threat identification by 50% while analyzing 10,000+ potential attack vectors to enhance DOD security infrastructure.

Natural Language Processing Engineer at PlusOne Company

Pioneered BERT-based call analytics system that achieved 94% accuracy in real-time sentiment analysis across 50,000+ daily customer interactions, reducing false positives by 40%. Optimized multilingual conversation processing through advanced CPU/GPU deployment architecture for enterprise-scale NLP applications.

Software Engineer at Moody’s Analytics - RMS

Collaborated with cross-functional team developing geospatial analytics platform that integrated location intelligence with financial risk assessment, enabling portfolio managers to visualize $200B+ in assets against natural disaster probability zones. Reduced risk exposure by 25% for institutional clients through data-driven investment decisions and advanced predictive modeling algorithms.

Senior Applied AI Engineer at Medici Land Governance

Develops blockchain-based land administration and titling systems to modernize property ownership records. Designed dynamic routing layer leveraging Claude Sonnet 4, reducing inference costs by 70%

Senior Machine Learning Engineer (CV/Edge AI) at RIOS Intelligent Machines

Built computer vision and ML infrastructure for robotic process automation in manufacturing and industrial environments. Architected MLOps pipeline reducing deployment time by 70%

Senior Applied AI Engineer at Unstructured IO

Develops open-source and API-based tools that transform unstructured documents into structured data. Evaluated VLM providers, improving table structure recognition accuracy.

Lead Software Engineer – AI/ML (DoD) at Sapient Logic

Architected mobile OCR platform enabling real-time document processing in air-gapped environments for intelligence operations.

Lead Software Engineer – AI/ML Infrastructure at Sapient Logic

Architected a HIPAA-compliant Electronic Health Record system for hospital patient management on AWS.

AI Software Architect at Speechlab AI

AI-powered audio/video localization platform enabling speech-to-speech translation and synthetic dubbing.

Machine Learning Engineer at Collegis Education

Data analytics solutions optimizing enrollment growth and student success for higher education institutions.