Vetted Workflow Orchestration Professionals

“Built and shipped production LLM agents that automate document processing and decision workflows, with a strong focus on reliability, guardrails, and measurable business impact. Stands out for combining RAG, tool calling, evals/monitoring, and ERP integration to deliver 30-35% manual effort reduction and higher throughput without additional headcount.”

“Analytics-to-product leader who has repeatedly turned messy, high-stakes data problems into scalable business outcomes—from modernizing American Express merchant risk scoring to helping build Meesho's influencer commerce channel into a meaningful revenue driver. Currently prototyping an enterprise GenAI platform for Sikich, where they shaped the architecture, privacy controls, and deployment standards for AI on sensitive client documents.”

“Walmart engineer who built and shipped a production LLM+RAG system to automate triage and analysis of computer support chats/tickets, producing grounded, schema-constrained JSON outputs for summaries, urgency, and routing recommendations. Emphasizes reliability (hallucination control, confidence thresholds, human-in-the-loop) and runs end-to-end pipelines with Airflow and AWS-native orchestration, plus rigorous evaluation and monitoring tied to business KPIs.”

“Built and shipped a production LLM-powered RAG assistant for enterprise internal document search (PDFs, knowledge bases, structured data), addressing real-world issues like noisy documents, hallucinations, and latency with grounded prompting, retrieval-confidence fallbacks, and performance optimizations. Also partnered with compliance and business teams at JPMc to deliver a solution aligned with regulatory constraints, supported by monitoring, feedback loops, and systematic evaluation.”

“ML/LLM engineer who has shipped a production transformer-based document understanding system on AWS, owning the full pipeline from domain fine-tuning to Dockerized CI/CD deployment. Demonstrates strong production rigor—latency optimization (distillation/quantization, async batching, autoscaling), orchestration with Airflow/Step Functions/Azure Data Factory, and monitoring/drift detection—plus experience translating ops stakeholder needs into adopted AI automation via dashboards.”

Geetha Sri Kasu

Screened

Mid-level Software Engineer specializing in Java/Spring Boot, Kafka, and AWS

5y exp

“Software engineer who owned an end-to-end self-service reporting workflow (secure APIs, async/batched processing, and React UI), improving report generation performance by ~30–40% and reducing manual support effort. Also built a RAG/embeddings prototype over internal docs and service logs with grounding-focused guardrails, and has a strong reliability/observability mindset (retries, DLQs, CI/CD validation, dashboards/tracing) for distributed workflows.”

“Engineering leader focused on multi-cloud platform modernization, combining deep hands-on expertise in Kubernetes, Terraform, GitOps, and DevSecOps with management of 18-person DevOps/SRE/software teams. Particularly strong in building secure, scalable enterprise SaaS infrastructure and Spark/Databricks data platforms while driving cross-functional standardization, reliability, and faster release cycles.”

“Shopify full-stack engineer focused on AI/LLM-powered merchant automation products. They have hands-on experience building React/TypeScript and Python/FastAPI systems for long-running agentic workflows, including orchestration, guardrails, observability, and customer-facing trust features, with measurable gains in task completion and latency.”

“Full-stack engineer with early-stage startup experience at Compass, working across backend services, data pipelines, and React applications in a fast-moving real estate platform. Stands out for combining hands-on systems work—like a Kafka/Python ingestion pipeline that cut latency 35%—with product impact, including dashboard workflow changes tied to a 12% lift in lead conversion.”

“Product leader with 12 years of experience spanning consumer, platform, and data-governance products. Most notably built a Content Security platform at Disney from a vague concept into a delivered Salesforce-based product with centralized data, orchestration, auditing, and watermarking modules, and has a track record of navigating complex stakeholder and technical constraints.”

“Engineering leader with a mix of people management, consulting, and hands-on architecture experience across streaming media and digital product delivery. He has built remote teams, created engineering operating models from scratch, and led pragmatic turnarounds of underperforming teams and ETL/integration systems under tight deadlines.”