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Vetted Blue-Green Deployment Professionals
Pre-screened and vetted.
Mid-level Data Scientist specializing in Healthcare ML and Generative AI
Mid-level Software Developer specializing in cloud-native microservices and ML recommendations
Mid-Level Full-Stack Software Engineer specializing in cloud-native microservices
Mid-Level Software Engineer specializing in full-stack web and backend systems
Mid-Level Full-Stack Java Developer specializing in FinTech and cloud microservices
Mid-Level Software Engineer specializing in backend APIs, cloud microservices, and LLM integration
Intern Full-Stack/Cloud Engineer specializing in AWS, DevOps automation, and backend APIs
Staff Software Engineer specializing in Python APIs and AWS-native data platforms
Mid-Level Backend Software Engineer specializing in AWS microservices and AI/automation
Mid-level Backend Software Engineer specializing in AI-powered microservices and cloud infrastructure
Director-level engineering leader specializing in platform modernization and cloud architecture
Karan Savaliya
Junior Backend Engineer specializing in data platforms and cloud APIs
“Backend lead at a stealth startup and builder of MailIQ/MailBox—an automated Gmail inbox digest + cleanup system. Designed secure multi-account email ingestion and cost-efficient LLM-based summarization, and implemented robust unsubscribe automation using Playwright + OpenAI webpage analysis (including captcha-handling) with strong safety guardrails, incremental rollouts, and rollback strategies.”
hamza Khan
Mid-level DevOps & Platform Engineer specializing in AI/ML infrastructure
“Backend/AI engineer who built production-grade intelligence systems in high-stakes domains including tax/legal document analysis and brain tumor MRI workflows. Stands out for combining LLM/RAG product delivery with strong engineering rigor around retrieval evaluation, grounding, validation, observability, and safe fallbacks—turning impressive demos into systems users could actually trust.”
Aman Kumar Mushnam
Intern Full-Stack/Backend Engineer specializing in cloud-native APIs and event-driven systems
“Backend-focused engineer who built an academic AI voice assistant with a Python microservice-style backend (speech recognition, spaCy-based NLP, and Kafka-driven automation) optimized to sub-500ms latency. Also has Sodexo internship experience deploying containerized services across Kubernetes/AWS ECS/Azure using ArgoCD GitOps, including solving config drift and secret-management challenges and supporting cloud-to-on-prem migrations with blue-green rollouts.”
Sanskar Pandey
Junior Full-Stack Java Developer specializing in FinTech microservices
“Full-stack engineer with production experience building a real-time order tracking system using React + Firebase/Firestore, emphasizing audit-friendly data modeling, state-machine-based status transitions, and strong post-launch ownership (performance, security rules, reliability). Demonstrated measurable frontend performance gains by isolating real-time updates to dynamic components and applying memoization, plus backend reliability patterns (idempotency, retries) and SQL query/index optimization validated with EXPLAIN ANALYZE.”
“Full-stack engineer with production experience building a legal-tech SaaS onboarding/invitation system end-to-end using Remix/React/TypeScript, Node, Prisma/Postgres, and transactional email (Resend). Emphasizes reliability and operability (idempotent actions, state-machine workflows, layered validation, migrations, logging/metrics/tracing) and has deployed both on AWS (ECS/Fargate, RDS, CloudWatch, SQS) and Dockerized infrastructure (DigitalOcean + Nginx + TLS/Cloudflare).”
Pallavi Deshmukh
Mid-level Full-Stack Software Engineer specializing in React, Node.js, and Android media SDKs
“Backend/data engineer who built an end-to-end real-time stock analytics platform: ingesting multi-source market data via Kafka/APIs, transforming it into dashboard metrics (e.g., Bollinger Bands), and storing in BigQuery/MySQL. Strong DevOps/GitOps experience deploying Python/Node microservices on Kubernetes with Docker/Helm, CI/CD (GitHub Actions/Jenkins), and ArgoCD, plus hands-on troubleshooting and migration work.”