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Vetted Code Reviews Professionals
Pre-screened and vetted.
Senior Full-Stack Software Engineer specializing in cloud-native microservices and AI platforms
Senior Full-Stack Software Engineer specializing in cloud-native web applications
Mid-level Machine Learning Engineer specializing in LLMs, RAG, and scalable GPU inference
Principal Data Scientist specializing in ML, NLP, and forecasting for marketing and supply chain
Senior QA Automation Engineer specializing in web, mobile, and API testing
Senior Full-Stack Engineer specializing in AI, Web3, and scalable web platforms
Senior Software Engineer specializing in full-stack platforms and AI-driven healthcare systems
Senior Software Engineer specializing in FinTech payments and scalable platforms
Mid-level Software Engineer specializing in Python, distributed systems, and AI backend services
Director-level Software Development Manager specializing in AWS infrastructure and distributed systems
Senior Software Engineer specializing in Python and AWS cloud backend systems
Mid-level AI/ML Engineer specializing in LLM training, RAG, and low-latency inference
Senior Software Engineer specializing in AI backend platforms and FinTech systems
SOURABH MISHRA
Senior Software Engineer specializing in FinTech and distributed systems
“Backend/AI engineer who has built a rule-service platform on AWS and evolved it into an agentic RAG system using LangChain, ReAct, tool calling, and LLM-as-judge review. Notable for combining heavy AI-assisted development with production safeguards like manual CR, CloudWatch monitoring, fallback strategies, benchmark testing, and user-feedback-driven model improvement.”
Shailaja Domala
Executive product and AI leader specializing in data platforms and analytics
“Engineering leader with deep experience at Visa building and modernizing large-scale analytics platforms, including refactoring legacy systems into globally available microservices on AWS. Combines hands-on technical judgment in architecture, search platform evaluation, and service reliability with management of distributed international engineering and data teams.”
Aravind Sudha
Director-level engineering leader specializing in cloud platforms and distributed systems
“Senior engineering leader at AWS currently managing two services in the MSK organization, including Replicator for disaster recovery/data distribution and Glue Schema Registry. He combines hands-on distributed systems depth with large-scale people leadership, having managed teams up to 32 engineers and coordinated platform onboarding work across roughly 340 AWS services. Earlier experience in payroll and compliance platforms adds strong enterprise domain breadth beyond cloud infrastructure.”
Dipti Shethia
Director-level Engineering Leader specializing in consumer platform growth and SaaS
“Engineering leader with experience at Vertex and Salesforce, combining org leadership with hands-on architecture work. He led a 40-person team through execution and quality improvements, drove legacy modernization and SaaS transition, and launched a 0-to-1 voice capability in CRM while also applying AI to code migration and developer productivity.”
Brayden Tremper
Senior Software Engineer specializing in game UI systems and gameplay features
“Unity/C# game engineer with hands-on ownership of live-service systems, including a real-time multi-channel chat feature for Squid Game: Unleashed that launched alongside Squid Game Season 2 on Netflix and increased player retention and engagement. Brings a strong blend of mobile performance optimization, server-authoritative architecture, multiplayer systems, and practical experimentation with LLM-assisted narrative tooling.”
MARCUS JOHNSON
Senior AI/ML Engineer specializing in Generative AI, NLP, and RAG systems
“ML/NLP engineer focused on production-grade data and search/recommendation systems: built an end-to-end pipeline that connects unstructured customer feedback with product data using TF-IDF/BERT, Spark, and AWS (SageMaker/S3), orchestrated with Airflow and monitored for drift. Also has hands-on experience with entity resolution at scale and improving search relevance via BERT embeddings, FAISS vector search, and domain fine-tuning validated with precision@k and A/B testing.”