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Vetted Caching Professionals
Pre-screened and vetted.
Staff-level Software Engineer specializing in Unity real-time and cloud multiplayer systems
Mid-level Software Engineer specializing in scalable backend and cloud-native systems
Mid-level Software Engineer specializing in full-stack AI and LLM applications
Senior Software Engineer specializing in backend and data systems
Senior Full-Stack Engineer specializing in backend systems and cloud-native microservices
Mid-Level Frontend Software Engineer specializing in React and React Native
Mid-Level Full-Stack Python Engineer specializing in AI-powered web apps and cloud-native systems
Mid-level Software Development Engineer specializing in backend systems and ML platforms
Mid-level Software Engineer specializing in cloud infrastructure and distributed systems
Mid-level Software Engineer specializing in backend systems and FinTech
Mid-level Software Engineer specializing in backend systems, microservices, and AI search
Senior Software Engineer specializing in backend systems and FinTech APIs
Senior Software Engineer specializing in scalable backend and distributed systems
Senior Full-Stack Engineer specializing in data-driven SaaS and web platforms
Staff Software Engineer specializing in backend platforms and FinTech/SaaS systems
Senior AI Infrastructure Engineer specializing in LLM systems and real-time ML platforms
Pavan Devulapalle
Mid-level Software Engineer specializing in cloud platforms and AI-integrated full-stack development
“Backend engineer who built Flask-based internal APIs supporting GenAI-driven provisioning/diagnostics (Outpost/AWS Outposts-like environment), with deep hands-on optimization across Postgres/SQLAlchemy (2s to <200ms endpoint improvement). Experienced integrating ML/LLM workflows via AWS SageMaker and Bedrock, and designing multi-tenant isolation plus high-throughput Redis-backed background task pipelines (minutes to seconds).”
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.”
Vikas Ravula
Senior Data Engineer specializing in cloud data platforms and real-time streaming for financial services
“Data engineer with experience at Bloomberg, UBS, and Bank of America building high-volume financial data platforms and services. Owned an end-to-end pipeline processing ~150–200M records/day (Kafka/Cassandra/S3 → Spark/PySpark → Snowflake) with strong data quality controls and Airflow reliability practices, reporting ~99% reliability and major performance gains. Also built large-scale external API ingestion with compliance-minded rate limiting, schema versioning, and quarantine/validation layers.”
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.”