Vetted Log Analysis Professionals

“Infrastructure/automation engineer with experience bridging post-acquisition environments (Pandora + SiriusXM) by building an API-driven integration to provision Debian workloads on RHV while preserving iPXE-based imaging workflows. Strong in deep debugging across virtualization/network/OS layers (e.g., resolving virtio/vCPU contention causing network/NFS issues) and in extending automation tooling via custom Ansible/Python modules. Also has exposure to biomanufacturing on-prem devices (Hamiltons, shakers) alongside AWS microservices.”

Noah Bertschmann

Screened ReferencesStrong rec.

Mid-level Robotics Software Developer specializing in ROS and autonomous mobile robots

Kitchener, Canada4y exp

“System-level robotics software engineer with production experience in both ROS 1 and ROS 2 who served as technical owner for an initial ROS1→ROS2 migration, including catkin→ament/colcon and refactoring core communication nodes. Strong in hardware-validated integration work—debugged intermittent message drops by tuning ROS 2 QoS for embedded firmware interfaces and stabilized real-time navigation behavior through timing/telemetry analysis and cross-team coordination.”

Preethi Bandari

Screened ReferencesStrong rec.

Mid-level Full-Stack Developer specializing in scalable web applications

Memphis, TN5y exp

“Developer who uses AI tools pragmatically to accelerate coding while keeping full ownership of system design and decision-making. Emphasizes rigorous review, testing, and alignment with architecture, security, and performance standards, and stays current on AI through both industry sources and hands-on experimentation.”

Phanindra Satya Tharun Gunturi

Screened

Mid-level DevOps/SRE Engineer specializing in cloud CI/CD, IaC, and Kubernetes

Nashville, TN5y exp

“Infrastructure engineer with deep production IBM Power/AIX experience (AIX 7.2/7.3, HMC, dual VIOS, PowerHA) supporting ~25–30 LPARs and handling live DLPAR tuning, HA failovers, and Power7→Power9 migrations. Also builds modern cloud delivery platforms—Azure DevOps CI/CD deploying Dockerized microservices to Kubernetes with Terraform-managed AWS infrastructure, strong controls around secrets, drift, and safe rollouts.”

“Backend-focused engineer who stepped into a brand-new product and built most of a Go-based backend from scratch in a 3-7 person team, initially as the only backend developer. He designed core security and access-control systems like MFA and role-based authorization, owned complex workflow features such as seat licensing, and helped deliver a B2B SaaS dashboard that earned very positive client feedback.”

Tiffany Utvaer Gasser

Screened ReferencesModerate rec.

Mid-level Software Developer specializing in FinTech

Foster City, CA4y exp

“Software engineer with experience in a large financial institution, including ownership of an internal queue-based service and upgrades to an online credit dispute flow. Stands out for combining backend reliability work, stakeholder collaboration with bank operations staff, and a pragmatic focus on validation, monitoring, and developer experience.”

Lane Flores

Screened ReferencesModerate rec.

Senior Backend Software Engineer specializing in payments and integrations

Atlanta, GA10y exp

“Engineer with a strong mix of telephony, backend API, database reporting, and full-stack web experience across B2B SaaS and healthcare payments. Particularly notable for reverse-engineering loosely documented FreeSWITCH/Event Socket Layer behavior to build an emergency response conferencing system, and for handling messy production data and evolving customer requirements with care.”

“Backend Python engineer who built core services for a telecom automation engine monitoring thousands of routers in real time and auto-generating support tickets. As the sole Intelygenz engineer on the project, they diagnosed a costly Terraform/GitLab CI/CD resource-leak issue in AWS and implemented a cleanup redesign that eliminated orphaned resources and reduced client cloud spend. Also shipped applied-AI ticket triage suggestions via API integration and built an end-to-end Gmail-to-ticket ingestion workflow.”

“Product/UX designer with experience building an end-to-end AI campaign/session platform that converted an engineer-led, code-heavy workflow into a self-serve marketer product using a target/act/schedule interaction model, progressive disclosure, and real-time previews. Also redesigned monitoring for Informatica’s enterprise data platform after field research with data engineers, shifting the UI toward lifecycle views and failure-state observability.”

“Built and deployed a RAG-based student/faculty support chatbot at a university that answers from official syllabus/policy documents and now supports 4,000+ students while reducing repetitive support requests. Hands-on with LangChain, LangGraph, and CrewAI to orchestrate reliable agentic workflows, with a strong focus on testing/monitoring in production and cross-functional delivery (e.g., marketing analytics automation at Steve Madden).”

“Backend/ML platform engineer who owns end-to-end delivery of ML-serving APIs (FastAPI + TensorFlow) and runs them reliably on Kubernetes using ArgoCD GitOps. Has hands-on experience solving production-only issues (probe tuning for model warm-up, resource profiling) and building scalable Kafka streaming pipelines, plus supporting phased on-prem to AWS migrations with dependency discovery and recreation of hidden jobs/workflows.”

Uttam Kumar

Screened

Intern AI Engineer specializing in LLM agents, RAG, and scalable cloud deployment

Atlanta, GA2y exp

“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.”

“Built and shipped production AI features for Aiden, including a natural-language agent and a Knowledge Hub ingestion/retrieval system. Stands out for hands-on debugging of real LLM production issues across providers like OpenAI and AWS Bedrock, improving reliability and achieving 90% response/retrieval consistency through direct LiteLLM integration, validation, monitoring, and async system design.”

“Controls/automation candidate whose experience is weighted more toward commissioning, troubleshooting, and system verification than full end-to-end design ownership. Has hands-on exposure to PLC logic review, interoperability testing, fire alarm/life safety commissioning, and ensuring safety-critical systems operate as intended in commissioning environments.”

“Engineer with a mature, agent-oriented approach to AI-driven software development, using structured planning, TDD, and verification loops rather than ad hoc prompting. Has hands-on experience acting as a tech lead for multiple AI agents in an LLM intelligent routing project, coordinating implementation, testing, debugging, and edge-case review with strong attention to system tradeoffs.”

“Software engineer focused on backend/full-stack, distributed systems, cloud infrastructure, and AI-related work. Stands out for using AI and multi-agent workflows as an engineering accelerator while maintaining rigorous testing, logging, and system-level validation, including work on telemetry and monitoring platforms where reliability and correctness are critical.”

Brad Anderson

Screened

Executive product leader specializing in FinTech, SaaS, and digital transformation

Texas, USA23y exp

“Product leader with experience spanning telecom, fintech mortgage, and hospitality, including a major AT&T rebuild of a fragmented digital sales flow and AI-enabled lending/onboarding products. Brings a strong mix of legacy modernization, cross-functional alignment, UX iteration, and human-centered thinking about AI as an amplifier rather than a replacement.”

“Intern/full-stack developer who built a sports player statistics dashboard with Next.js, React, Node.js, TypeScript, Zustand, and PostgreSQL. Demonstrated solid ownership across the stack, including API design, state consistency, production debugging, query/index optimization, and phased zero-downtime schema migrations.”

“LLM/agentic-systems practitioner who has repeatedly taken LLM-driven pricing/decision services from prototype to production using pilots, guardrails, observability, and staged rollouts. Demonstrates strong real-time incident troubleshooting (dependency timeouts, cached fallbacks) and post-incident hardening (isolation/async/alerts), and also supports go-to-market via developer workshops, technical demos, and sales-aligned POCs.”

“Backend-leaning full-stack engineer from Valcom who maintained Django/PostgreSQL services for mass-notification/paging servers used by education/commercial/government customers. Notable for hardening authentication and reliability (JWT refresh + rotation tokens, WebSockets/EventStream) and for modernizing a legacy Ext.js/PHP stack into a React + Django architecture with strong CI/testing and production incident ownership.”

“Customer-facing technical specialist with experience spanning regulated Class II/III medical devices (FDA compliance, firmware vulnerability escalation) and large-scale industrial/energy deployments. Known for rigorous troubleshooting using logs/network traces and tight documentation/escalation in Salesforce, plus repeatable onboarding and integration practices (API into CI/CD, secrets via env vars, container standardization).”

“QA automation engineer with strong Cypress/JavaScript experience in healthcare claims and eligibility systems, owning end-to-end regression suites that combine UI, API, and SQL/database validations. Known for catching subtle pricing/benefit calculation defects (copay/deductible/accumulator issues) before release, stabilizing flaky CI tests via API synchronization, and shaping requirements early to improve testability and reduce downstream rework.”