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Vetted Code Reviews Professionals
Pre-screened and vetted.
Senior Python Backend Engineer specializing in cloud-native SaaS and microservices
Senior Full-Stack Developer specializing in cloud-native microservices and AI-driven healthcare apps
Mid-level AI/ML Engineer specializing in LLMs, RAG, and scalable MLOps
Senior Software Engineer specializing in Python, cloud infrastructure, and AI-powered search
Senior Full-Stack .NET Engineer specializing in cloud-native web applications
Mid-level Software Engineer specializing in backend APIs, data pipelines, and cloud microservices
Mid-level AI/ML Engineer specializing in LLMs, multilingual NLP, and low-latency MLOps
Senior AI/ML Engineer specializing in LLM agents, RAG, and production ML systems
Sai Chandra Bandi
Mid-level AI/ML Engineer specializing in Generative AI, LLM alignment, and RAG
“Built and productionized a real-time enterprise RAG pipeline to improve factual accuracy and reduce LLM hallucinations by grounding responses in constantly changing internal knowledge bases (policies, manuals, FAQs). Experienced in orchestrating end-to-end ML workflows (Airflow/Kubernetes), handling messy multi-format data with schema enforcement (Pydantic/Hydra), and maintaining freshness via streaming incremental embeddings plus batch refresh. Also delivers applied ML solutions with non-technical teams (marketing/CRM) for segmentation and personalized engagement.”
Kanna Rajagopal
Executive Engineering Leader specializing in cloud services, distributed systems, and networking
“Amazon engineering leader (15+ years) targeting Senior Manager/Director roles, with deep ownership of contact-center latency and reliability initiatives. Shipped a global production improvement cutting call latency 30–40% and led a complex Citrix SDK integration, including incident response and a backward-compatible rollout strategy to protect existing customers while enabling new features.”
Kevin Kyi
Intern Machine Learning Engineer specializing in RAG systems and AWS cloud infrastructure
“Internship at BlueFoxLabs building and deploying an AI/ML RAG system for a biopharma client on top of LibreChat, including an AWS Textract ingestion pipeline and PGVector retrieval deployed to AWS EKS. Demonstrated production-minded scalability work by moving from a vertically scaled EC2 setup to a horizontally scaling Kubernetes/EKS deployment, using CI/CD to safely incorporate requirement changes like tabular document data.”
Marcos Lopez
Senior Full-Stack Engineer specializing in cloud-native web apps and data pipelines
“Backend/data engineer with healthcare/telehealth domain experience, building patient appointment and data-processing systems on AWS. Has delivered production microservices and ETL pipelines (Flask/Celery, Glue/PySpark) with strong reliability/observability practices (JWT, retries/timeouts, Sentry/CloudWatch) and modernization experience migrating SAS workflows to Python services, including a documented 10min→30sec SQL performance win.”
Mid-level Full-Stack Python Developer specializing in FinTech and ML-driven automation
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
Mid-level AI/ML Engineer specializing in GPU-accelerated LLMs, RAG, and production MLOps
Staff Software Engineer specializing in AI/ML and data engineering for healthcare automation
Mid-level Software Engineer specializing in Python, ML/LLM systems, and scalable microservices
Senior Full-Stack Software Engineer specializing in cloud platforms and AI data systems
Senior Full-Stack Software Engineer specializing in cloud and enterprise web platforms
Senior Backend/Platform Engineer specializing in Python, Kubernetes, and data streaming