Vetted Workflow Automation Professionals

“Data/ML practitioner with experience spanning medical imaging (retinal vessel analysis for hypertension/CVD risk prediction) and enterprise data engineering at Carl Zeiss. Built large-scale SAP data cleaning/validation pipelines (10M+ daily records, ~99% accuracy) and RAG-based semantic search with LangChain/vector DBs that cut manual querying by 82%, plus automation that reduced data onboarding from 8 hours to 12 minutes.”

“Senior product leader with experience at Discover and Capital One, focused on platform modernization, partner onboarding, and AI-enabled workflow automation in regulated financial environments. Particularly compelling for roles needing a 0-to-1 builder who can align engineering, design, compliance, and executives while shipping human-centered AI products with measurable impact like 50% faster onboarding and 40% lower design load.”

“Product leader with a strong track record of modernizing legacy SaaS platforms, including an API-first rebuild that increased engagement by 40% and reduced support burden. Also led AI-powered workflow automation that delivered 80-90% time savings through human-in-the-loop design, showing a pragmatic, user-centered approach to applied AI.”

“Embedded/real-time robotics-style engineer with hands-on STM32 development, sensor integration, and low-level drivers, focused on deterministic control behavior. Demonstrated systematic debugging of jitter/latency by instrumenting the sensing-to-actuation pipeline and eliminating blocking via interrupts, hardware timers, and DMA; also designs asynchronous, message-based interfaces for distributed real-time components. Familiar with ROS/ROS2 concepts (nodes/topics/callbacks) though not yet deployed a full production ROS system.”

“Paid social creative lead with experience across major consumer brands (Duracell, Amazon Groceries, Puma) and Gen Z-focused retail, owning end-to-end creative strategy from concept/briefing and UGC direction through QA and delivery. Known for contextual, seasonally-timed campaigns and performance-driven iteration (CPA/ROAS, funnel drop-offs), including a Duracell Meta campaign that reached 20M+ views and sustained engagement gains via creator feedback loops.”

“Cloud-focused engineer experienced deploying and stabilizing complex production systems that span APIs, infrastructure, and automated workflows, with a strong observability and safe-release mindset (feature flags/canaries/rollbacks). Has hands-on, customer-facing incident leadership, including executing DR regional failover during an AWS us-east-1 outage to maintain service and reportedly save a client ~$10M.”

“Operations/process leader with experience in SaaS and RPO environments, known for turning tribal knowledge into scalable, measurable systems. Has built documentation and knowledge-management standards for 90+ person teams, used data and change agents to drive adoption, and delivered major productivity gains (~300%) through training and automated reporting. Also led cross-functional process mapping and implemented partner onboarding workflows directly in Salesforce to improve SI partner enablement.”

“Engineering lead/player-coach working on project management software, owning a high-impact scheduling algorithm rewrite focused on performance, maintainability, and documentation after prior team turnover caused regressions. Previously at EOX Vantage, helped an insurance client modernize monolithic workflows by scoping ambiguous requirements into a roadmap and shipping a day-one MVP before iterating with value-add features.”

Anvith Reddy Dodda

Screened

Mid-level AI Engineer specializing in GenAI, NLP, and MLOps

Remote, USA3y exp

“LLM/agentic-systems engineer with PayPal experience hardening an LLM-powered fraud support assistant from prototype to production, focusing on low-latency distributed architecture, rigorous evaluation/testing, and security/compliance. Comfortable in customer-facing and GTM contexts—runs technical demos/workshops, builds tailored pilots, and aligns sales/CS with engineering to close deals and drive adoption.”

Prateek Patil

Screened

Engineering Leader specializing in Digital Health, AI, and Cloud Platforms

Santa Clara, CA16y exp

“Senior Engineering Manager at Roche leading two Scrum teams building internally shared (“inner-sourced”) tools and libraries for a healthcare enterprise. Has led security/compliance-first architecture decisions (e.g., Python AI modules running inside a Java container) and front-end modularization (Angular monorepo to module federation), with a strong focus on developer experience via automated Swagger/OpenAPI documentation and robust testing/versioning practices.”

Benjamin Hudnut

Screened

Junior Live Events & Music Operations professional specializing in booking, touring, and community events

Los Angeles, CA4y exp

“Founder/director of the music and event production company Tuned In, personally driving outbound BD to book underground LA talent and produce 25 events, including a major Lunar New Year collaboration with Alice Longyu Gao. Also ran multi-channel voter/community outreach for the Frankie Carrillo campaign (door knocking, 1,000+ SMS) and built automation tools (Apple widget; AI image-to-CSV workflow at Live Nation) to improve operational efficiency.”

Sandeep Mekala

Screened

Director-level Mobile Engineering Manager specializing in Generative AI and agentic mobile experiences

Remote13y exp

“iOS player-coach who led end-to-end development of real-time customer support chat and unified notification systems for T-Mobile’s iOS app using SwiftUI, Firebase, WebSockets, and Core Data (including offline handling). Drove measurable reliability/latency gains (~30%) through a major notification refactor and owned a high-severity push-notification incident from rollback through RCA and backward-compatible hotfix, while also scaling team process and people management.”

“Analytics-focused candidate with hands-on experience building SQL data pipelines and Python-based forecasting workflows for inventory and planning use cases. They emphasize data quality, stakeholder trust, and operational adoption, citing a 19% forecast accuracy improvement and strong experience translating analytics into dashboard-ready business metrics.”

Bhaskar Reddy

Screened

Junior Business & Data Analyst specializing in analytics and BI

Fairfield, CT2y exp

“Analytics-focused candidate with hands-on experience building SQL and Python workflows that turn messy multi-source data into reporting assets and dashboards. They show strong practical judgment around data quality, table grain, validation, and performance tuning, and they described an education-focused engagement project that reportedly improved course completion by 15% through targeted interventions and metric-driven stakeholder alignment.”

“Built and owned an end-to-end AV operations automation and dashboarding platform for USC event operations, used daily to coordinate hundreds of live events. Delivered a React/TypeScript full-stack system integrating Smartsheet APIs with strong reliability practices (typed contracts, validation/fallbacks, safe rollouts) and experience with queue-based microservice patterns (idempotency, retries, DLQs, monitoring).”

Devang Shah

Screened

Executive AI and Cloud transformation leader specializing in enterprise GTM and product engineering

San Jose, CA23y exp

“Candidate is interested in building horizontal AI infrastructure capabilities, specifically around observability, and brings exposure to investor evaluation dynamics from experience at PE-backed firm WinWire. They appear strongly motivated by entrepreneurial ownership, creativity, and the ability to drive and pivot ideas in a venture studio or startup environment.”