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Vetted Root Cause Analysis Professionals

Pre-screened and vetted.

AJ

Anshul Joshi

Screened ReferencesStrong rec.

Mid-Level Software Engineer specializing in distributed systems and GenAI

Austin, TX4y exp
University of Texas at AustinUniversity of Texas at Austin

Capgemini engineer with 4+ years building and deploying high-availability, low-latency fraud detection APIs and multi-cluster distributed systems for a Fortune 20 bank, including zero-downtime production rollouts and multi-layer (SQL/network/hardware) performance debugging. Also built a Python + OpenAI/LangChain LLM-powered grading workflow for Austin School for Women, cutting feedback time from 90 minutes to 5 minutes per submission for 200+ learners.

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DG

Dan Gervais

Screened ReferencesStrong rec.

Executive Technology Leader specializing in SaaS, Big Data, and Cloud Architecture

Escondido, California28y exp
DecisionsGroupUC Irvine

Hands-on IT/engineering executive who has led high-impact architecture changes and compliance-driven data systems. Notably built an internally developed columnar database at Troparé (with dual-support UI for legacy/new DBs) and shipped an MVP in 3–4 months with dramatic performance improvements, and previously delivered PCI/opt-out compliant deletion workflows while addressing DB performance and migrations.

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MC

Michelle Coblentz

Screened ReferencesStrong rec.

Senior Operations & Business Process Consultant specializing in change management and quality systems

Fort Myers, FL20y exp
UnitedHealth GroupUniversity of Wisconsin–Stout

Operations and quality systems advisor who helps early-stage companies professionalize quickly—implementing ISO 9001-aligned document/vendor management, SOPs, and contracts while coaching founders through change. Has driven measurable process improvements across manufacturing and healthcare/clinical operations, including escalating a nurse productivity issue into a CAPA/IT fix that improved workflows for hundreds of nurses. Known as a cross-functional "Connector" who blends strategic guidance with hands-on execution and human-centered design.

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TH

THAMES HARRISON

Screened ReferencesStrong rec.

Engineering Manager specializing in enterprise SaaS, cloud architecture, and AI/ML

Gainesville, FL17y exp
Cornerstone OnDemandUniversity of Florida

Senior engineering manager who stays hands-on (~50/50) while leading teams through design reviews, code reviews, and production issue triage. Shipped scalable platform features (notifications, user action tracking via microservices) with strong quality/performance practices (TDD, high-load testing). Owned a complex cross-system SSO/IdP incident end-to-end, identifying a SameSite+iFrame root cause and delivering a configurable product fix plus support documentation.

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EN

Emmanuel Ngalima

Screened ReferencesStrong rec.

Mid-Level Software Engineer specializing in geospatial AI and cloud security automation

San Ramon, CA5y exp
ChevronUC Merced

Cloud engineer and cloud OS SME (Chevron) who productionized large-scale security remediation—using Tanium and Ansible to address CIS benchmark noncompliance across 5,000+ servers with robust logging and RCA handoffs. Also drives adoption of a geospatial AI refinery inspection product by consolidating siloed imagery into an enterprise geospatial database, and presents internally on agentic/LLM tooling (LangChain/LangGraph, LangSmith observability).

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MY

Monique Youmans

Screened ReferencesStrong rec.

Senior Talent Operations leader specializing in recruiting workflows and people systems

Dallas, TX12y exp
GEICOAmerican International College

Recruiting/Talent Operations leader who managed 6–12 person teams across two office locations and drove measurable process improvements. Standardized onboarding (cut ramp time by 2–3 weeks) and redesigned interview scheduling to move candidates forward within 24–48 hours, while leveraging Workday/Lever reporting and leading a GoodTime rollout with HR/IT/HRIS.

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CH

Cendy Hernandez

Screened ReferencesStrong rec.

Executive People & Culture (HR) leader specializing in org design, compensation, and change

Jersey City, NJ21y exp
National Audubon SocietyUniversity of Pittsburgh

People/HR leader with deep compensation expertise who built a company’s first enterprise-wide compensation framework, including benchmarking and pay equity analysis, partnering closely with executives to improve transparency, satisfaction, and reduce turnover. Demonstrates strong systems-thinking and employee relations judgment (ADA/FMLA-aware), plus hands-on coaching and conflict mediation to improve leader effectiveness and team trust.

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NC

Nightvid Cole

Screened ReferencesStrong rec.

Senior Computer Vision & Sensor Algorithms Engineer specializing in imaging systems

Saratoga, CA7y exp
Early-Stage StartupUniversity of Maryland, College Park

Robotics/remote-sensing software engineer who built and validated multisensor image-processing and spectral chemical-detection pipelines (RX anomaly detection, ACE), including calibration protocols with a motorized shutter and rigorous data QC. Uses white-box NumPy simulators to debug SLAM/registration issues before translating logic to C++, and partnered with hardware teams to solve temperature-driven signal variation via combined software calibration and improved thermal management.

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EK

Edem Kporha

Screened ReferencesStrong rec.

Senior Technical Support/Systems Engineer specializing in secure enterprise operations

Riverside, CA9y exp
Virtuous Automotive GroupValley View University

AppSec-focused engineer with experience supporting federal case management platforms at Armedia (SAST/DAST/SCA, threat modeling, injection remediation) and leading production troubleshooting for Ecobank’s virtual card service across 33 African affiliates. Known for using deep log/SQL/trace analysis to pinpoint TLS and query issues, documenting clear repro evidence, and driving measurable outcomes like eliminating recurring SQL vulnerabilities and stabilizing activation success rates.

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DJ

Devon Johnson

Screened ReferencesStrong rec.

Executive Cybersecurity & Infrastructure Architect specializing in incident response and resilience

Nashville, TN19y exp
Ceyepher SecurityAustin Peay State University

Founder of pre-revenue cybersecurity startup Ceyepher Security; has already set up lead-intent sourcing, automated pipeline/CRM analytics, and outbound marketing. Plans to raise capital after landing first clients to demonstrate value via revenue, whitepapers, and customer testimonials; interested in studio support to accelerate sales. Mentions a disability that has enabled significant time honing computer science skills and is open to joining innovative work even outside their own company.

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HS

Mid-level Full-Stack Software Engineer specializing in cloud-native microservices

California, USA4y exp
OracleCalifornia State University, Long Beach

Cloud-native integration engineer (Oracle/OCI) with strong production deployment and incident-response experience, including API gateway rollouts, observability (Prometheus/Grafana), and multi-layer debugging for payments systems. Built Python/FastAPI microservices and automation for customer-specific reporting and data sync, and has delivered major performance gains (45 min to <10) plus reliability improvements (MTTD reduced 40%+) through monitoring, playbooks, and resilient integration patterns (streaming/queuing, retries, secure tokens, VPC peering).

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AG

Aditi Garg

Screened

Mid-level Software Engineer specializing in backend systems, GraphQL, and real-time telemetry

Sunnyvale, California3y exp
WalmartOhio State University

Software engineer with experience spanning an SEL internship and Walmart, combining backend/data pipeline work (Python, Kafka, relational DBs) with DevOps practices (Docker, Grafana, GitHub/Jenkins CI/CD, GitOps). Notably contributed to a REST-to-GraphQL migration aimed at reducing cloud utilization and implemented testing strategies to validate the transition.

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PK

Parth Kasat

Screened

Mid-level Forward Deployed Engineer specializing in AI automation for finance and data platforms

Remote2y exp
ArganoGeorge Washington University

LLM/agentic workflow specialist with healthcare deployment experience who has taken LLM-based automation from prototype to production using operator-in-the-loop validation, RAG-style retrieval, RBAC, and monitoring for sensitive data compliance. Demonstrated real-time incident resolution (retrieval timeouts due to network/proxy misconfig) and strong GTM support—hands-on developer workshops and sales demos translating technical safeguards and real-time ETL into measurable ROI (70% ops reduction, ~$200K/year savings).

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NT

Nia Thompson

Screened

Senior HR Business Partner specializing in employee relations, global HR operations, and union environments

Hartford, CT8y exp
ConfidentialSierra College

People/HR leader specializing in change management, leader coaching, and people analytics—partnered with VP Operations and HR to execute a large-scale restructuring ahead of a major live event cycle with compressed timelines. Uses a systems-thinking, metrics-first approach (operational + engagement + adoption) and has resolved high-stakes ER conflicts involving retaliation allegations through neutral investigations and mediation.

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AK

Mid-level Data & AI Engineer specializing in data engineering, analytics, and LLM/RAG apps

San Francisco Bay Area, CA5y exp
VerizonCalifornia State University

Built a production RAG-based “unified assistant” that consolidates siloed company documents into a single chatbot while enforcing fine-grained access control via RBAC/metadata filtering with OAuth2/JWT. Experienced orchestrating LLM workflows with LangChain/LangGraph + FastAPI (async + caching) and measuring performance via retrieval accuracy and response-time SLAs. Also delivered a churn analytics solution with dashboards and automated retention campaigns using n8n.

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AM

Aarush Monga

Screened

Intern Portfolio Strategy & Sourcing professional specializing in supply chain analytics

New York, USA3y exp
NokiaNYU Tandon School of Engineering

Sourcing/NPI leader with hands-on expertise in should-cost modeling and contract negotiations (including exclusivity and lifecycle cost-downs), leading supplier onboarding through industrialization and SOP. Demonstrated proactive trade/duty risk mitigation by driving a phased localization plan that reduced part costs by 15% then an additional 20%, and has a track record of turning around underperforming suppliers to stabilize samples and improve OTD.

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RP

Rubesh Phaiju

Screened

Senior Full-Stack Java Engineer specializing in cloud-native microservices and GenAI

Mechanicsburg, PA8y exp
DeloitteUniversity of the Cumberlands

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.

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SB

Mid-level Application Support Engineer specializing in investment management platforms

Remote/Hybrid6y exp
Allvue SystemsBinghamton University

Application Engineer supporting customers in a financial trading context, experienced in coordinating urgent patch upgrades and stakeholder communications to minimize downtime. Has hands-on production incident response experience troubleshooting a critical dashboard outage caused by a bad SQL execution plan, escalating with DBAs and deploying a fast fix, then documenting full RCA via problem tickets.

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WB

Wright Beisel

Screened

Mid-level Software Engineer specializing in reliability, automation, and energy systems

3y exp
New York Power AuthorityGeorgia Southern University

Customer-facing technical professional with experience at GE Vernova diagnosing turbine performance issues and translating vague "use AI" requests into concrete software/configuration changes. Brings a data-driven approach to LLM workflow troubleshooting (data quality + performance monitoring) and has led tailored technical workshops/demos using audience research and backup learning modules, with a strong focus on driving product adoption through usability and usage-data feedback loops.

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MK

Manjula K

Screened

Senior QA Automation Engineer (SDET) specializing in CI/CD quality engineering and AI-assisted QA

7y exp
NETGEARSavitribai Phule Pune University

QA automation engineer who owned and transformed a JavaScript/WebdriverIO UI automation suite into a reliable CI release gate by refactoring to POM, adding API validations, cross-browser coverage, and aggressively reducing flakiness. Demonstrated strong security mindset by uncovering a critical RBAC gap where restricted users could trigger billing actions via direct API calls, and helped reshape product requirements early through detailed acceptance-criteria questions (e.g., CSV upload partial failures).

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KR

Kalyan Reddy

Screened

Mid-level QA Engineer specializing in manual, mobile, and API testing

Alabama, US4y exp
BoschBelhaven University

QA automation engineer who owned end-to-end test automation for a web-based enterprise application, building and scaling suites in Selenium/Java/TestNG and Cypress/JavaScript. Strong in CI/CD integration with PR gating and actionable reporting, and has prevented high-severity auth/session regressions by catching role-based login/token issues early via automated CI runs.

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IK

Intern IT & Data Analytics professional specializing in automation, cloud operations, and dashboards

Dallas, TX2y exp
RichemontUniversity of Texas at Dallas

AppSec-focused engineer with experience spanning Accenture and a digital operations support internship, emphasizing secure SDLC and CI/CD security automation (SAST/DAST/SCA). Has hands-on troubleshooting experience using logs/metrics/APM traces (e.g., resolving DAST timeouts caused by rate limiting) and designs AWS/Kubernetes scanning integrations with least-privilege IAM, private networking, secrets management, and observability.

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SK

Sonu Kaur

Screened

Executive Chief of Staff and FP&A leader specializing in SaaS, utilities, and hospitality

Irvine, CA19y exp
Smart Energy WaterHans Raj Mahila Maha Vidyalaya

Cross-functional operator with experience hiring and standing up a product support function, then reducing ambiguity across Sales/CS/Product Support through clear roles and KPI-driven accountability. Reported outcomes include +20% customer satisfaction, +40% employee engagement, and -10% churn, with an emphasis on structured execution (deliverables/deadlines/follow-ups) and proactive risk/disaster recovery planning.

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