.png){kind=logo}
Vetted Terraform Professionals
Pre-screened and vetted.
Mid-Level Software Engineer specializing in cloud-native full-stack and DevOps
Senior DevOps & AWS Cloud Engineer specializing in scalable, secure cloud infrastructure
Mid-level Software Engineer specializing in AI, backend systems, and full-stack development
Senior Full-Stack .NET Developer specializing in healthcare IT and SaaS
Mid-level Full-Stack Software Engineer specializing in AI-powered document platforms
Junior Full-Stack Engineer specializing in mobile apps and backend systems
Junior Full-Stack Software Engineer specializing in web platforms and cloud applications
Senior Full-Stack Engineer specializing in e-commerce and API-driven platforms
Senior Python Backend Engineer specializing in scalable APIs, cloud microservices, and AI/ML platforms
Senior DevSecOps Engineer specializing in AWS GovCloud, Kubernetes, and compliance automation
Staff/Lead Full-Stack Software Engineer specializing in .NET, Angular, and cloud architecture
Senior Cloud & DevOps Engineer specializing in AWS, Azure, and GCP automation
Senior Full-Stack Engineer specializing in SaaS, LegalTech, and Web3
Vikesh Patel
Senior AI/ML Engineer & Data Scientist specializing in LLMs, RAG, and MLOps
“ML/NLP practitioner who has delivered production systems in regulated domains, including a healthcare compliance pipeline using RAG (GPT-4/Claude) plus TF-IDF retrieval that increased document review throughput 4.5x. Also has hands-on experience improving fraud detection data quality via entity resolution (Levenshtein, Dedupe.py) validated with A/B testing, and building scalable, monitored workflows with Airflow, CI/CD, and AWS SageMaker.”
Clinton Ngotta
Executive full-stack software engineer specializing in cloud platforms and FinTech
“Full-stack engineer who built a custom LMS end to end with Next.js, TypeScript, Python, AWS, and S3, owning the learning module experience and structured progress tracking. Also shipped a bilingual English-Swahili caregiver support WhatsApp chatbot using OpenAI, with strong attention to safety boundaries, anonymous logging, prompt iteration, and real-world deployment in a sensitive support context.”
Phat Dang
Junior Software Engineer specializing in full-stack, DevOps, and GenAI
“Robotics software engineer with hands-on hardware integration who built an AI-enabled smart dog door using a Raspberry Pi, camera-based recognition (DeepFace adapted for dogs), and stepper motor control (TB6600/NEMA 17). Experienced in ROS/ROS 2 across perception-to-controls, rigorous bag-driven debugging of SLAM/navigation issues, and deploying robot software with simulation-in-the-loop testing plus Docker/Kubernetes CI/CD.”
Swapnil Ramanna
Mid-level Data Scientist specializing in Generative AI and Healthcare Analytics
“Built a LangGraph-based, tool-routing LLM chatbot to deliver fast, trustworthy investment-stock insights (including tariff impact) and deployed it to production on Snowflake after initially developing in Azure with AI Search and the Microsoft Agent Framework. Improved routing robustness by moving from LLM-based decisions to a deterministic router backed by schema-relationship graphs and YAML metadata, and ran the project iteratively with non-technical stakeholders over an 8-month engagement.”
Saivedant Hava
Entry AI Engineer specializing in LLMs, RAG, and MLOps
“Built and shipped a production Python-based agentic RAG document retrieval system over 80K records using FastAPI, OCR, vector search, and AWS infrastructure, with a strong emphasis on reliability, testing, and observability. Stands out for treating AI failures like production incidents—turning hallucinations, retrieval misses, and OCR issues into regression tests—and for quantifiably reducing document lookup time from about 12 minutes to under 90 seconds.”