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Vetted Serverless Computing Professionals
Pre-screened and vetted.
Senior Software Engineer specializing in backend, distributed systems, cloud, and applied AI
Mid-Level Full-Stack Developer specializing in Java, Spring Boot, and cloud-native microservices
Senior Full-Stack Engineer specializing in AI/ML platforms and cloud-native backends
Senior Software Engineer specializing in cloud-native backend systems on AWS
Mid-Level Full-Stack Developer specializing in cloud-native microservices and GenAI
Mid-Level Full-Stack Software Engineer specializing in cloud-native microservices
Mid-level Java Full-Stack Developer specializing in cloud-native web platforms
Staff Software Architect and Engineering Lead specializing in cloud and data platforms
Mid-level Full-Stack Engineer specializing in cloud-native enterprise and FinTech systems
Senior Full-Stack Engineer specializing in compliance, integrations, and data platforms
Senior Full-Stack Developer specializing in cloud-native FinTech microservices and React
Mid-level Full-Stack Developer specializing in cloud-native microservices
Senior DevOps/SRE Engineer specializing in multi-cloud infrastructure and Kubernetes
Aniruddha Rajnekar
Mid-level Full-Stack Engineer specializing in FinTech and cloud-native systems
“Full-stack engineer with about 3 years of experience who is deeply hands-on with AI-assisted development and agentic systems. Built TubeAgent using LangChain, Ollama, FAISS, and Llama 3, and has demonstrated measurable impact by cutting review time by 90% and reducing deployment time from 30 minutes to under 5 minutes at NC State. Combines practical experimentation with strong architectural thinking around resilient, composable AI systems.”
Swaraj Bhalerao
Mid-level Full-Stack Developer specializing in backend-heavy web applications
“Backend/full-stack engineer who has built AI-powered search and workflow systems in production, including a semantic resume-matching platform for recruiters and internal security data dashboards at ReliaQuest. Stands out for combining modern AI tooling with pragmatic reliability, performance tuning, and strong product intuition in ambiguous environments.”
Sri Niyati Kompella
Senior Data Engineer specializing in cloud data platforms and ML pipelines
“Data engineer focused on AWS-based enterprise data platforms, owning end-to-end pipelines from multi-source batch/stream ingestion (Glue/Kinesis/StreamSets/Airflow) through PySpark transformations into curated datasets for Redshift/Snowflake. Emphasizes production reliability with strong monitoring/observability and data quality gates, and reports ~30% performance improvement plus improved SLAs and latency after optimization.”
Vedang Jadhav
Mid-Level Software Engineer specializing in cloud-native microservices on AWS
“Backend engineer with experience across healthcare and fintech platforms (Anthem, Citia) building high-throughput Python microservices with strong compliance/security focus (HIPAA, tenant isolation). Has integrated ML workflows into production systems (ResNet embedding-based image similarity) using async pipelines (Celery/Redis) and AWS (Lambda/S3/ECS), delivering measurable performance and fraud/content-integrity improvements at scale.”
Divya T
Mid-Level Software Engineer specializing in cloud microservices and data processing
“Data-focused engineer who has built near real-time trending news sentiment pipelines end-to-end (API/web ingestion, validation, transformations, and dashboard serving) and implemented reliability patterns like retries with exponential backoff and backfills. Also shipped Java/Spring Boot REST APIs backed by SQL with indexing/pagination, and stood up an early-stage QR-based attendance MVP using Firebase with iterative hardening via logging and validation.”