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Vetted Feature Flags Professionals
Pre-screened and vetted.
Sakshi Dinesh Deore
Mid-level Software Engineer specializing in AWS, DevOps automation, and data platforms
“Engineer with Securonix experience deploying and operating production microservices and real-time data-processing systems at high throughput. Led AWS infrastructure, CI/CD, monitoring, and customer-driven customization for a threat-report classification solution, including rule adjustments and model retraining based on live client feedback.”
Mid-level Full-Stack Software Engineer specializing in cloud-native distributed systems
Senior Software Engineer specializing in cloud-native distributed systems and mobile/web apps
Senior DevOps Engineer specializing in Azure cloud infrastructure and Kubernetes
Mid-level Full-Stack Developer specializing in cloud microservices for healthcare and payments
Mid-Level Software Engineer specializing in AWS data pipelines and full-stack development
Senior Full-Stack Engineer specializing in scalable, data-intensive web applications
Senior Full-Stack (MERN) Developer specializing in e-commerce and FinTech platforms
Mid-Level Software Engineer specializing in cloud-native microservices and AI automation
Mid-Level Software Developer specializing in FinTech and AI-enabled systems
Engineering Leader specializing in growth platforms and transaction systems
Mid-Level Full-Stack Software Engineer specializing in cloud microservices and LLM/RAG systems
mahesh narne
Senior Full-Stack Software Engineer specializing in cloud-native microservices and web apps
“Backend-focused engineer building customer support/order-tracking platforms with Java 17/Spring Boot microservices and a React/TypeScript frontend. Deep experience running event-driven systems on Kubernetes (Kafka, Redis, MySQL) with strong observability (Prometheus/Grafana/Splunk), SLOs, and safe deployment practices (feature flags, canaries). Also built an internal monitoring/debugging dashboard that consolidated metrics and logs for on-call engineers and was adopted by other teams to speed incident response.”
Rahul Kushwaha
Mid-level Software Engineer specializing in FinTech and scalable microservices
“Backend/platform engineer focused on high-traffic financial systems, owning real-time event-driven ingestion and Kafka streaming pipelines using Python/FastAPI, Avro schemas, and AWS services. Has hands-on Kubernetes (EKS) and GitOps/CI-CD experience (ArgoCD/Jenkins) and supported large-scale migrations from legacy VMs to containerized microservices with zero/low-downtime cutovers.”
Yash Vishe
Junior Software Engineer specializing in LLM systems, data engineering, and ML
“Backend/ML systems engineer with experience at SDSC, UCSD, and Media.net, building production semantic dataset/model discovery using embeddings + Solr KNN and LLM-based intent/reranking at 5M+ dataset scale. Emphasizes offline/online separation for predictable serving, has delivered measurable gains (23% retrieval accuracy, 38% latency reduction) and helped secure a $3M+ NSF grant.”