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Vetted Software Engineers in Georgia
Pre-screened and vetted in Georgia.
Mid-Level Software Engineer specializing in backend microservices and cloud-native systems
Mid-level Integration & API Gateway Developer specializing in Kong, DataPower, and MuleSoft
Mid-level XR Developer specializing in VR/AR training and interactive experiences
Senior Software Test Engineer specializing in test automation and API/performance testing
Mid-level Cloud & Front-End Systems Engineer specializing in AWS and distributed web platforms
Mid-level Python Backend Engineer specializing in cloud-native microservices and event-driven systems
Uttam Kumar
Intern AI Engineer specializing in LLM agents, RAG, and scalable cloud deployment
“AI/LLM engineer at GPT integrators who built a production multi-agent enterprise workflow integration system, tackling hard problems in agent orchestration, layered memory, and custom RAG over enterprise/user data. Also built an education-focused agent solution integrating with Canvas, Zoom, and email to automate classroom admin tasks, and is currently applying agentic AI to insurance underwriting workflows in collaboration with underwriters.”
Vikas Velagapudi
Mid-level Software Engineer specializing in Machine Learning and LLMs
“Software engineer with robotics and ML background (BS Software Engineering w/ Robotics minor; MS CS w/ ML minor) who built autonomy-focused student robotics projects combining RFID + camera sensing, path planning (Dijkstra), and fuzzy logic, and experimented with neural-network approaches. Also brings production-grade software practices from a Dell software analyst role, emphasizing maintainability, documentation, and testing for real-time systems.”
Piyush Rajendra
Mid-level AI/ML Engineer specializing in production RAG systems and MLOps
“Built and deployed a GPT-4 + Pinecone RAG system that lets users query large internal document collections with grounded, cited answers. Demonstrates strong applied LLM engineering (chunking experiments, hallucination controls, metadata recency boosting) plus production-minded evaluation/monitoring and performance tuning (rate-limit mitigation via pooling/batching). Also effective at translating complex AI concepts to non-technical stakeholders through prototypes and live demos, helping secure client sponsorship.”
Mid-level Full-Stack Python Developer specializing in cloud-native web apps and data pipelines
Mid-Level Software Engineer specializing in AWS cloud infrastructure and CI/CD automation
Mid-level Full-Stack Software Engineer specializing in AWS cloud-native microservices
Mid-Level Software Engineer specializing in cloud-native FinTech platforms
Mid-level Software Development Engineer specializing in cloud and financial services platforms
Mid-level Python Developer specializing in healthcare data platforms
Senior Full-Stack Engineer specializing in Golang backend systems and scalable SaaS
Mid-level Software Engineer specializing in backend and full-stack systems for FinTech and MarTech
Senior Software Engineer specializing in automated testing and simulation/VR systems
Mid-Level Low-Code Developer specializing in Dynamics 365 and Power Platform
Dhanush Kukatla
Mid-level Software Engineer specializing in AI RAG systems and full-stack cloud applications
“AI/LLM engineer who shipped a production RAG-based knowledge assistant at SparkPlug serving 10,000+ daily users, streaming GPT-4 answers with inline citations over WebSockets. Demonstrated measurable impact (support resolution time cut 18→12 minutes; retrieval precision +~20%) and strong production rigor across ingestion, monitoring/alerting, evaluation, and messy ERP-style data integration with validation, RBAC, and idempotent operations.”
Mid-Level Full-Stack Software Engineer specializing in React/Node.js and cloud systems