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Vetted Software Developers in Texas
Pre-screened and vetted in Texas.
Rakesh Munaga
Mid-level Full-Stack Engineer specializing in AI and FinTech platforms
“Full-stack engineer building real-time internal banking operations dashboards (Java/Spring Boot microservices + React/TypeScript) with Kafka-based streaming and post-launch performance optimizations. Also shipped a production internal AI support assistant using RAG (Confluence/PDF/support docs ingestion, embeddings + vector DB retrieval) with guardrails, evaluation loops, and observability to reduce hallucinations and prevent regressions.”
Mid-Level Java Full-Stack Developer specializing in Spring Boot, Angular, and AWS
Mid-Level Full-Stack Software Engineer specializing in cloud-native microservices and AI integrations
Mid-level Full-Stack Software Developer specializing in React and Spring Boot microservices
Mid-level Full-Stack Software Engineer specializing in cloud-native microservices and data platforms
Mid-level Software Developer specializing in cloud-native data platforms and MLOps
Mid-level Full-Stack Developer specializing in payments and cloud-native microservices
Mid-Level Software Engineer specializing in backend and full-stack systems
Mid-level Full-Stack Software Engineer specializing in FinTech compliance systems
Mid-Level Software Engineer specializing in cloud-native microservices and AI automation
Mid-Level Software Developer specializing in FinTech and AI-enabled systems
Mid-Level Backend Software Engineer specializing in Java/Spring Boot microservices on AWS
Mid-Level Full-Stack Software Engineer specializing in microservices and fraud detection
NEHA KOLAN
Mid-Level Software Engineer specializing in microservices and cloud data pipelines
“Full-stack engineer with end-to-end ownership across React/TypeScript frontends, Spring Boot/Node microservices, and production ops on Docker/Kubernetes and AWS (ECS/CloudWatch). Built real-time healthcare eligibility and analytics systems at Cigna and an early-stage seller onboarding platform at Flipkart, driving measurable performance gains (35–40% latency/throughput improvements) through event-driven Kafka pipelines, Redis caching, and strong reliability/observability practices.”
Shreyansh Srivastava
Mid-Level Full-Stack Software Engineer specializing in API-first microservices and cloud platforms
“Backend-focused engineer who built a resume processing and job application platform using Python/MongoDB/Streamlit, including OpenAI-powered skill/keyword extraction and recruiter-facing search/filtering. Has hands-on cloud deployment experience on AWS/Azure and executed an on-prem reservation portal migration to Azure using a phased trial-and-cutover approach; also automated CI/CD with Jenkins and GitHub Actions.”