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Vetted Authentication Professionals
Pre-screened and vetted.
Senior Software Engineer specializing in cloud-native microservices and full-stack web apps
Mid-Level Backend/Full-Stack Software Developer specializing in cloud-native APIs
Mid-level Full-Stack Developer specializing in cloud-native web applications
Mid-level Backend/Full-Stack Software Engineer specializing in cloud-native microservices and APIs
Mid-Level Software Engineer specializing in AWS serverless and full-stack web development
Mid-level Software Engineer specializing in cloud-native microservices and FinTech
Staff Software Engineer specializing in cloud-native microservices for financial platforms
Mid-level AI/ML Engineer specializing in RAG systems and cloud data platforms
Senior QA Engineer specializing in AAA game quality engineering and Unreal Engine validation
Mid-Level Full-Stack Java Developer specializing in Spring Boot and Angular/React
Senior Full-Stack Software Engineer specializing in SaaS, cloud, and AI/LLM applications
Staff Software Engineer specializing in FinTech eCommerce platforms
Mid-Level Frontend Software Engineer specializing in React and React Native
Junior UX/UI Engineer specializing in mobile prototyping and agentic commerce
Mid-Level Full-Stack Python Engineer specializing in AI-powered web apps and cloud-native systems
Senior Full-Stack Engineer specializing in AI automation and LLM-powered products
Vignesh Shanmugasundaram
Junior Software Engineer specializing in full-stack development and applied ML
“Full-stack engineer with experience at Zoho and Amazon who has owned production systems end-to-end, including a monolith-to-microservices migration using Kafka and Cassandra that improved search latency ~25% and increased throughput without data loss. Also built a hackathon project (Buildwise) into a sold product for a construction company (AI-driven document compliance checks) and shipped an IoT-based parking availability MVP in 3 weeks.”
Nehal Mahankali
Mid-level Full-Stack Python Developer specializing in cloud-native banking applications
“Backend engineer who built a low-latency real-time transaction API in Python/Flask, with strong depth in PostgreSQL/SQLAlchemy performance tuning (time-based partitioning, indexing, connection pooling). Has production experience integrating ML scoring and OpenAI-style APIs with safety/latency controls, and designing multi-tenant isolation strategies including per-tenant pooling/caching and premium-tenant isolation.”
Lakshmi tanikonda
Mid-Level Software Engineer specializing in full-stack and backend systems
“Backend-leaning full-stack engineer with experience at Liberty Mutual and Airbnb, building high-scale insurance claims systems (1M+ monthly transactions) and consumer booking/pricing services (120K–180K daily requests). Strong in transactional data integrity, PostgreSQL performance tuning, and production operations (Docker/Jenkins/AWS), with measurable UX/performance wins including ~2.3s page loads and significant runtime failure reduction.”
Shuju Sun
Mid-Level Software Engineer specializing in real-time data pipelines and ML deployment
“Ticketmaster data engineer who built CDC-driven Kafka pipelines feeding Snowflake for analytics and data science teams. Hands-on in production operations—scaled Kafka during sudden playoff-driven transaction spikes and improved monitoring for preemptive scaling. Known for using small-batch experiments and quantitative metrics to align stakeholders and drive cost-saving architecture changes (e.g., buffering to reduce AWS Lambda invocation frequency).”