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Vetted Confluence Professionals
Pre-screened and vetted.
Mid-level Full-Stack Python Developer specializing in cloud-native FinTech and GenAI
Executive Engineering Leader specializing in AI automation and cloud platforms
Mid-level Software Engineer specializing in scalable backend and cloud-native systems
Mid-level Python Backend Developer specializing in FinTech and ML-driven fraud detection
Mid-level Full-Stack Engineer specializing in Python microservices and cloud automation
Mid-level Full-Stack Developer specializing in React, Node.js, and Spring Boot
Junior AI/ML Engineer specializing in agentic AI and cloud optimization
Principal/Lead Animator specializing in gameplay and cinematic animation for AAA games
Mid-level AI/ML Engineer specializing in recommendation, retrieval, and MLOps
Game Design Director specializing in live ops modernization and AAA/mobile game design
Mid-level Business Analyst specializing in data analytics and enterprise reporting
Mid-level Software Engineer specializing in backend systems, microservices, and AI search
Senior Cloud Security Engineer specializing in AWS security, IAM governance, and DevSecOps
Sriram Rajaraman
Senior Infrastructure Platform Architect specializing in Kubernetes and hybrid cloud
“Platform/infra engineer with strong ownership of Kubernetes on VMware and day-to-day hybrid on-prem-to-AWS operations. Has hands-on experience automating infrastructure delivery with Terraform/Ansible/CI-CD, and has resolved real production issues spanning CSI storage reattachment during upgrades, vSphere storage-latency performance degradation, and hybrid connectivity/routing failures with improved validation, monitoring, and failover.”
Poorna Pedapudi
Mid-Level Software Engineer specializing in distributed backend systems and cloud-native microservices
“Software engineer focused on data platforms and applied LLM systems: built an internal data quality monitoring layer to catch silent data drift and iterated post-launch after finding ~30% false-positive alerts, reducing noise via dynamic baselines and improved structured logging. Also shipped a production RAG-based internal knowledge assistant over Jira/Confluence with citations, confidence-based fallbacks, and nightly automated evals to prevent regressions.”
Varshitha Macherla
Junior Full-Stack Developer specializing in Java microservices and cloud platforms
“Full-stack engineer (~2.6 years) with strong Java/Spring Boot backend experience and React/Angular frontend exposure, who has worked on enterprise-scale systems at Dell processing ~1.8M daily transactions/events. Built secure, partner/internal-facing APIs (OAuth2/JWT) across 14 integrations and implemented Kafka-based order/payment workflows with idempotency and sub-700ms processing targets, plus CI/CD and Selenium-based release validation.”
Prateek C
Mid-Level Full-Stack Software Engineer specializing in Java/Spring, React, and AWS
“Backend/full-stack engineer (5+ years) with Shopify experience integrating LLM/RAG workflows into production APIs. Owned a Python TensorFlow Serving inference pipeline connected to Java microservices via gRPC, optimizing tail latency at ~10k concurrent load and improving retrieval relevance with embedding and evaluation work. Strong Kubernetes/EKS + GitOps/CI/CD background, including monolith-to-microservices migrations and event-driven streaming patterns.”
Emmanuel Haldopoulos
Senior Systems Integration Engineer specializing in ADAS and autonomous driving
“Solutions engineer at a Voice AI startup building and deploying voice agents for self-storage customers, owning the full lifecycle from cold outreach and demos through contract negotiation, FMS/API integration, and post-sales optimization. Also has Audi/Porsche experience demoing pre-production vehicles and autonomous driving features (L3 lane changes) to internal stakeholders and VW Group leadership, with a strong track record of tailoring technical narratives to varied audiences and improving conversion by adapting agents to regional dialects.”
Hari Vaishnavi Tummalapalli
Mid-level Business Analyst specializing in BI, reporting automation, and process improvement
“Analytics professional with experience at McKinsey & Company and Dell Technologies, focused on turning messy operational and business data into trusted dashboards and decision tools. They combine SQL, Power BI, and Python to solve data quality issues, define metrics like retention, and deliver measurable impact such as a roughly 30% reduction in manual reporting time.”