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Vetted Logging Professionals
Pre-screened and vetted.
Plamena Petrova
Engineering Manager / Senior Backend Platform Engineer specializing in microservices and CI/CD
“Fitbit engineer who has taken multiple projects from concept to release, including architecting a new warranty-evaluation system that achieved 100% accuracy and saved the company $6M. Interested in exploring startup ideas and emphasizes mission alignment and building strong cross-functional teams.”
Yihao Xie
Senior Backend Engineer specializing in Python and AWS serverless systems
“Backend/data engineer with Amazon supply-chain experience building production serverless Python services and ETL pipelines on AWS (Lambda, API Gateway, S3, RDS, Glue). Has modernized legacy SAS jobs into Python with rigorous parity testing and phased migrations, and has delivered major SQL performance gains (minutes down to seconds) through indexing and partitioning.”
Senior Full-Stack Software Engineer specializing in React and Node/Python in regulated systems
Mid-level Full-Stack Developer specializing in Java/Spring Boot microservices and React on AWS
Senior Full-Stack Engineer specializing in AI/ML developer platforms
Staff Software Engineer specializing in AI/ML and data engineering for healthcare automation
Staff Full-Stack Engineer specializing in cloud microservices and AI-enabled platforms
Mid-level Software Engineer specializing in Python, ML/LLM systems, and scalable microservices
Senior AI/ML Software Engineer specializing in LLMs, NLP, and scalable ML platforms
Senior Full-Stack Software Engineer specializing in cloud platforms and AI data systems
Mid-level Software Engineer specializing in distributed systems on AWS
Senior Software Engineer specializing in scalable backend microservices and cloud platforms
Senior AI/ML Engineer specializing in LLMs, RAG, and multimodal recommendation systems
Senior Software Engineer specializing in cloud platforms, data pipelines, and ML
Yishi Wang
Junior Machine Learning & Data Science professional specializing in LLMs and analytics
“Amazon internship experience building production GenAI analytics for the returns organization: a multi-agent LLM+RAG system that let analysts query multiple heterogeneous data sources in natural language without hand-written SQL. Also built and operationalized four Apache Airflow DAGs for large-scale ETL, emphasizing observability and freshness-aware metadata to keep outputs accurate and up to date.”
Mid-Level Software Engineer specializing in cloud-native backend systems and FinTech
Senior Full-Stack Engineer specializing in real-time collaboration SaaS
Mid-Level Full-Stack Software Engineer specializing in cloud-native microservices
Director-level Backend & Data Engineering Leader specializing in AWS serverless platforms
Senior DevSecOps & Cloud Security Engineer specializing in Kubernetes and CI/CD security
Director-level Software Development Manager specializing in AWS infrastructure and distributed systems
Chester Nielsen
Executive Chief of Staff and Strategic Operations Leader across SaaS, government, and national security
“Entrepreneurial consultant who relocated to Boston to build a practice from scratch through intensive networking and pro-bono work, leading to being listed as a trusted provider in Leader Bank's CEO toolbox and generating qualified leads. Uses structured strategic frameworks (OODA, Porter's Five Forces, SWOT) to evaluate risk, resource lift, and enterprise/customer impact, with a strong ownership-and-accountability orientation.”
Kenil Tanna
Staff-level Machine Learning Engineer specializing in LLMs and MLOps for Financial Services
“Machine learning/NLP practitioner at J.P. Morgan who led development of a production RAG system and an entity resolution pipeline for complex financial data. Deep hands-on experience with embeddings (Sentence-BERT), vector search (FAISS/pgvector), LLM fine-tuning (LoRA/PEFT), and rigorous evaluation (human-in-the-loop + A/B testing) backed by strong MLOps on AWS (Docker/Kubernetes, MLflow, Prometheus/Datadog).”