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Vetted Workflow Orchestration Professionals
Pre-screened and vetted.
Mid-level Backend Software Engineer specializing in cloud-native FinTech systems
Principal Software Engineer & Architect specializing in cloud-native platforms and AI/LLM systems
Mid-Level Full-Stack Engineer specializing in cloud-native web applications
Mid-level Full-Stack Product Engineer specializing in B2B SaaS and AI search
Mid-level Data Engineer specializing in cloud data platforms and streaming pipelines
Mid-level Data Engineer specializing in lakehouse and cloud data platforms
Mid-level Software Engineer specializing in automation and browser-based integrations
Mid-level AI/ML Developer specializing in healthcare and financial services
Senior ML Infrastructure Engineer specializing in LLM systems and scalable RAG platforms
Mid-level Data Engineer specializing in scalable batch/streaming pipelines and cloud data platforms
Director-level Software Development Manager specializing in FinTech platforms
Mid-level Data Engineer specializing in streaming pipelines and cloud data platforms
Mid-level Data Engineer specializing in real-time streaming and ML feature pipelines
Director-level AI & Automation leader specializing in enterprise RPA and GenAI transformation
Senior Software Engineer specializing in distributed data platforms and GenAI automation in BFSI
Mid-level Generative AI Engineer specializing in LLMs, RAG, and agentic AI
Mid-level Data Engineer specializing in cloud data platforms and FinTech analytics
Aldric Pinto
Mid-level AI product and data lead specializing in analytics and healthcare AI
“Product-minded software engineering lead with a blend of backend, data engineering, cloud observability, and AI product experience. They’ve owned systems end-to-end, from ETL job builders that cut setup time 70% to hybrid-cloud observability workflows that reduced monitoring effort 80%, and also drove an AI marketing feature that improved conversion from 2% to 6%.”
Pavan Kalyan
Mid-level AI Engineer specializing in GenAI agents and RAG for IT operations
“Built and operates a production LLM agent for enterprise IT operations that triages and drafts resolutions for high-volume ServiceNow tickets using LangChain + RAG (Pinecone/pgvector) and AWS Bedrock/OpenAI. Emphasizes reliability with schema-validated stages, offline eval datasets from real tickets, and CloudWatch-driven monitoring/guardrails; system scales to 40K+ tickets/month and cut resolution time ~28%.”
Rubesh Phaiju
Senior Full-Stack Java Engineer specializing in cloud-native microservices and GenAI
“Deloitte engineer who built and shipped AI-powered, Kafka-driven workflow automation for transportation/document processing, including LLM-based semantic search. Strong in production reliability (idempotency, offset management, retries), observability (Datadog/CloudWatch), and database performance tuning (PostgreSQL/Flyway), with measurable latency improvements.”
Ananya Bojja
Mid-level AI/ML Engineer specializing in healthcare analytics and MLOps
“AI/ML engineer at Cigna Healthcare building a production, HIPAA-compliant LLM-powered clinical insights platform that summarizes unstructured medical notes using a fine-tuned transformer + RAG on AWS. Demonstrates strong end-to-end MLOps and cloud optimization (distillation, Spot/Lambda/Auto Scaling) with quantified outcomes (~28% accuracy lift, ~40% less manual review, ~25% lower ops cost) and strong clinician-facing explainability via SHAP and dashboards.”