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Vetted Kibana Professionals
Pre-screened and vetted.
Senior Software Engineer specializing in data platforms and FinTech/SaaS systems
Senior Software Engineer specializing in distributed systems, IoT, payments, and blockchain
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.”
Senior Full-Stack Software Engineer specializing in Python/Django and modern JavaScript
Senior Full-Stack Engineer specializing in Python, cloud-native systems, and LLM applications
Mid-level DevOps & MLOps Engineer specializing in cloud-native CI/CD and Kubernetes
Mid-Level Full-Stack Software Engineer specializing in FinTech and EdTech
Senior DevOps Engineer specializing in cloud-native CI/CD and Kubernetes
Mid-level GenAI & Analytics Engineer specializing in LLM and cloud cost/finance analytics
Mid-level Software Engineer specializing in backend microservices and cloud services
Mid-level Full-Stack Software Engineer specializing in FinTech and cloud-native systems
Senior Software Engineer specializing in distributed systems and cloud infrastructure
Junior Software Engineer specializing in LLMs, RAG, and Knowledge Graphs
Junior Backend Engineer specializing in cloud-native systems and observability
Senior Software Engineer specializing in backend systems and FinTech screening platforms
Johnnie Sanders
Executive AI Architect specializing in enterprise cloud and FinTech solutions
“Candidate brings an operator-to-founder profile with leadership experience in IT and Business Systems and a strong grasp of how ideas become venture-backable products. They speak fluently about startup evaluation criteria such as TAM, technical defensibility, speed to scale, and AI differentiation, and appear especially motivated by building solutions end-to-end in startup or venture studio environments.”
Chakradhar Nidujuvvi
Mid-Level Software Engineer specializing in Java, Spring Boot, and AWS
“Built and deployed a production credit card fraud detection platform that scores transactions in real time using TensorFlow/scikit-learn models exposed via a Spring Boot REST API, with strict SLAs, fallback to legacy rules, and Splunk-based monitoring/drift tracking. Also has enterprise orchestration experience with TIBCO BusinessWorks (BW 6.6/BWCE), coordinating REST/SOAP services and JMS messaging (TIBCO EMS) with robust error handling and compensation logic.”
Hitha Magadi Vijayanand
Mid-level Backend Software Engineer specializing in AWS cloud and FinTech platforms
“JP Morgan engineer and Texas A&M student web developer who has owned production systems end-to-end, including a real-time ML training workflow that improved internal search relevance by 30%. Experienced with AWS cloud migrations and operating containerized services on ECS with CloudWatch+ELK observability, Terraform infra, and Spinnaker CI/CD; also built event-driven pipelines with RabbitMQ and Elasticsearch at 1M+ record scale.”
Mithilesh Gaurihar
Mid-Level Software Engineer specializing in Java microservices and cloud-native systems
“Full-stack engineer (SAP Labs experience) who built an end-to-end, real-time fraud detection system on Java 11/Spring Boot microservices with Kafka event streaming and a React/Redux analytics dashboard with WebSocket updates. Demonstrated strong production ownership by diagnosing a critical memory leak with Prometheus/CloudWatch + heap dumps and improving performance with Redis caching (40% faster queries), while also modernizing deployments via Kubernetes, Jenkins CI/CD, and Terraform.”