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Vetted Event-Driven Architecture Professionals
Pre-screened and vetted.
Mid-level Software Engineer specializing in backend systems and AI applications
Mid-Level ML/AI Engineer specializing in LLMs, RAG, and multi-agent systems
Senior Full-Stack & AI Engineer specializing in FinTech and Healthcare
Senior Full-Stack Developer specializing in MERN, cloud platforms, and LLM-powered applications
Mid-Level Software Engineer specializing in cloud microservices and AI automation
Senior Software Engineer specializing in backend ML and Generative AI platforms
Mid-level Java Software Engineer specializing in backend systems and AI-integrated platforms
Senior Backend Engineer specializing in cloud-native microservices and AI integrations
Senior Full-Stack Engineer specializing in Python, cloud-native SaaS, and data pipelines
Senior Full-Stack/Backend Engineer specializing in distributed systems and cloud-native platforms
Director-level Engineering Leader specializing in scalable cloud platforms and real-time AI systems
Senior Java Developer specializing in cloud-native microservices and event-driven systems
Staff/Lead DevOps & Site Reliability Engineer specializing in cloud infrastructure and Kubernetes
Executive FinTech Engineering Leader specializing in core banking, payments infrastructure, and AI
Senior Software Engineer specializing in cloud-native microservices
Anupriya Palanisamy
Mid-Level Software Engineer specializing in Java microservices and event-driven systems
“Backend-focused engineer with experience spanning research and healthcare: owned a Python/SQL data pipeline that transformed vulnerability-fix code data from SQLite into model-ready JSON for LLM analysis. Also deployed Dockerized Spring Boot microservices to Kubernetes with Jenkins CI/CD and built Kafka-based real-time event streaming (appointment/report events) with idempotent consumers to avoid duplicate processing.”
Sangram Jagtap
Mid-Level Full-Stack Software Engineer specializing in web platforms, cloud, and test automation
“Full-stack engineer with hands-on ownership of production systems, including a Kafka-based notification/alerting platform (Node.js + React) deployed on AWS with Docker/GitHub Actions, achieving ~95% email delivery reliability. Demonstrates strong operational maturity (observability, CI/CD, zero-downtime migrations) and experience shipping in ambiguous environments (SJSU project) with evolving requirements.”
Kevin Thomas
Intern Software Engineer specializing in AI, cloud, and backend systems
“Candidate has internship and graduate-project experience building AI agents, including a production log-analysis assistant using a lightweight agentic/RAG-style workflow with local GPT training and validation against historical logs. They also worked on Android/iOS game build and release processes in a Unity-based robot racing game environment, and highlight measurable LLM outcomes including 80% analysis accuracy, 2-5 second latency, and 50% cost reduction.”
Siva swathi javisetty
Mid-level Full-Stack & Cloud Engineer specializing in backend, AWS infrastructure, and DevOps
“IBM Power/AIX engineer who has owned a large production estate (20+ Power9/Power10 frames and 400+ LPARs) with vHMC and dual-VIOS HA. Has hands-on incident recovery experience (NPIV/RMC issues, LPM restores) and PowerHA failovers, plus modern DevOps exposure using Terraform on AWS and CI/CD with GitHub Actions/Jenkins (including deploying AI/RAG and vision workloads).”
srikanth tulluru
Mid-level Product Designer & Design Technologist specializing in design systems and GenAI UX
“Enterprise/industrial UX designer focused on making complex, real-time automated systems feel trustworthy and predictable. Has hands-on experience observing operators in logistics/automation environments, building shared interaction models to unify fragmented products, and collaborating tightly with engineers using component-system thinking (HTML/CSS/TypeScript) to ship resilient UIs that handle partial failures.”