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Vetted Software Engineers in Texas
Pre-screened and vetted in Texas.
Mid-Level Software Engineer specializing in Java microservices and AWS
Senior Java Full-Stack Developer specializing in cloud-native microservices on AWS
Mid-level Full-Stack Developer specializing in Spring Boot microservices and React
Junior Full-Stack Software Engineer specializing in ML, cloud infrastructure, and mobile apps
Senior Frontend/Product Engineer specializing in React, TypeScript, and dashboard UX
Principal Application Architect / .NET Full-Stack Engineer specializing in Financial Services
Senior .NET Software Engineer specializing in Azure-based e-commerce platforms
Junior Full-Stack Software Engineer specializing in cloud, microservices, and AI solutions
Senior Full-Stack Java Developer specializing in FinTech and Healthcare
Mid-Level Software Engineer specializing in Java/Spring microservices and cloud
Mid-Level Software Engineer specializing in payments, risk analytics, and cloud-native microservices
Mid-Level Full-Stack Software Engineer specializing in Healthcare and E-commerce
Mid-Level Backend Software Engineer specializing in Java/Python and DevOps
Senior ETL/Data Engineer specializing in cloud data platforms and AI/ML-ready pipelines
Anshul Joshi
Mid-Level Software Engineer specializing in distributed systems and GenAI
“Capgemini engineer with 4+ years building and deploying high-availability, low-latency fraud detection APIs and multi-cluster distributed systems for a Fortune 20 bank, including zero-downtime production rollouts and multi-layer (SQL/network/hardware) performance debugging. Also built a Python + OpenAI/LangChain LLM-powered grading workflow for Austin School for Women, cutting feedback time from 90 minutes to 5 minutes per submission for 200+ learners.”
Rafael Ortega
Senior Full-Stack & AI Engineer specializing in LLM integrations and cloud-native systems
“Backend/data engineer with hands-on production experience building FastAPI Python APIs and AWS-native platforms (Lambda/API Gateway, SQS, ECS Fargate) with Terraform + GitHub Actions CI/CD and strong reliability practices (JWT/RBAC, retries/timeouts, structured errors/logging). Also built AWS Glue ETL pipelines (S3/RDS to curated S3/Athena) with schema evolution and data quality controls, modernized legacy processing via parallel-run validation and phased cutovers, and has demonstrated SQL tuning impact (seconds to <200ms) plus incident ownership for batch pipeline SLAs.”
Mid-level Software Engineer specializing in SRE, observability, and LLM-powered automation
Sanjesh Singh
Mid-Level Software Engineer specializing in embedded RTOS and applied AI
“Master’s student and Deep Learning teaching assistant who teaches LLM/VLM fine-tuning (including LoRA) and built a Hugging Face LLM fine-tuned for unit conversion, improving reliability by analyzing synthetic data and filling missing number-system conversion examples. Also implemented the Raft consensus protocol using gRPC in a distributed systems course with correctness validated by unit tests.”