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Vetted Workflow Orchestration Professionals
Pre-screened and vetted.
Neel Harip
Mid-level Full-Stack Engineer specializing in AI-powered backend and data platforms
“Pragmatic AI-focused builder who uses tools like ChatGPT and Claude to accelerate development while maintaining strict review, testing, and architectural ownership. Has hands-on experience designing lightweight multi-agent workflows, including a RAG-style system with separate retrieval and response roles, and approaches new AI trends through direct experimentation rather than hype.”
Arya Thorat
Mid-level Software Engineer specializing in distributed cloud-native FinTech systems
“Full-stack/backend engineer with deep experience building real-time fraud and credit-risk systems. Shipped an event-driven fraud monitoring platform (Kafka→MongoDB/Redis→WebSockets) delivering sub-200ms updates to 3000+ concurrent internal users, and built a Java/Spring Boot credit risk decisioning API that improved turnaround time by 30–40%. Strong AWS production operations (ECS Fargate/RDS/Redis) with proven incident response and performance tuning.”
Jareena kowsar shaik
Mid-level Machine Learning & GenAI Engineer specializing in LLMs, RAG, and NLP
“Built and deployed an LLM-powered customer support assistant (“Notable Assistant”) focused on automating common post-customer queries while maintaining multi-turn context and meeting scalability/latency needs. Experienced with production orchestration and operations using Kubernetes and Apache Airflow (DAG-based ETL, scheduling, monitoring/alerts), and has partnered closely with customer service stakeholders to align chatbot behavior with brand voice through iterative testing.”
Zachary Mottley
Senior Software Engineer specializing in systems and workflow architecture
“Computer science capstone project: built a UE5 VR campus virtual-tour simulator using Blueprint scripting, including trigger-box interactions that display building/department info. Spent significant time in QA/playtesting to reduce motion sickness and improve UX, and handled a challenging asset pipeline by converting/optimizing high-detail AutoCAD/scan-derived building models via Blender—ultimately creating a custom plugin to help with conversion.”
Mid-level Data Engineer specializing in cloud ETL and data platforms (AWS/Azure)
Mid-level Software Engineer specializing in cloud-native systems and fraud detection
Intern Software Engineer specializing in backend platforms, data workflows, and cloud infrastructure
Mid-level Full-Stack Developer specializing in FinTech and cloud-native microservices
Intern Software Engineer specializing in backend distributed systems
Mid-level Software Engineer specializing in backend and full-stack FinTech systems
Junior Full-Stack Engineer specializing in AI-powered workflows and product development
Mid-level Data Engineer specializing in financial data pipelines on AWS and Databricks
Principal Cloud Data Engineering Leader specializing in lakehouse and streaming platforms
Mid-level Software Developer specializing in cloud data engineering and pipelines
Senior Full-Stack Engineer specializing in Python ML and conversational AI
Mid-Level Software Developer specializing in Java microservices and cloud-native platforms
Mid-level AI Engineer specializing in LLM agents and orchestration
Mid-level DevOps/MLOps Engineer specializing in multi-cloud infrastructure and CI/CD
Mid-level Generative AI Engineer specializing in LLM agents, RAG systems, and workflow automation
Mid-level Data Engineer specializing in cloud lakehouse and real-time streaming analytics