Vetted Root Cause Analysis Professionals

“Analytics professional with hands-on experience unifying marketing-platform data through Fivetran and Snowflake, building reporting views, and catching source-to-report issues like timezone-driven spend discrepancies. They also owned subscription LTV/cohort analysis and engagement tracking initiatives, partnering with e-commerce, product, and senior leadership to turn behavioral and demographic data into dashboards, lead-qualification metrics, and lifecycle marketing insights.”

Harshith Jaladi

Screened

Entry-level Software Engineer specializing in FinTech distributed systems

Chennai, India1y exp

“Game developer with early-stage startup experience who worked directly with a CEO to integrate an AI-based API into Skyrim Elder Scrolls V, helping showcase the product and win Riot Games as a client. Currently owns multiple financial reporting ingestion workflows and has driven meaningful time savings through cross-functional execution, combining gaming/AI experience with operational impact in fintech.”

“Built a production, real-time clinical documentation system at HCA that converts doctor–patient conversations into structured clinical summaries using speech-to-text, LLM summarization, and RAG. Demonstrated measurable gains from medical-domain fine-tuning (clinical concept recall +18%, ROUGE-L 0.62 to 0.74) while meeting HIPAA constraints via PHI anonymization and encryption, and deployed via Docker/FastAPI with CI/CD and monitoring.”

kartikeya tiwari

Screened

Senior Software Engineer specializing in AI systems and platform engineering

Bangalore, India6y exp

“Backend/AI engineer with experience owning production systems in fintech and product startups, including a predictive scaling platform that cut AWS spend by 40% and an ambiguous social-intelligence feature that doubled MRR from $50K to $100K. Also building AI search and document-processing workflows, with reported 99.7% extraction accuracy and hands-on use of both classical forecasting and modern LLM stacks.”

“Analytics candidate with strong finance/operations reporting experience, focused on billing, margin, and revenue leakage use cases. They have built SQL and Python workflows that turned messy shipment, invoice, PO, and ERP data into trusted reporting layers, replacing manual Excel processes and driving adoption through transparent reconciliation and stakeholder collaboration.”

Rajesh Palaparthi

Screened

Mid-level Industrial Engineer specializing in industrial automation and smart manufacturing

Dearborn, MI3y exp

“Manufacturing automation and controls engineer with hands-on ownership of PLC/HMI/SCADA packages for high-volume production line upgrades involving robotics, conveyors, safety interlocks, and remote I/O. Stands out for managing both controls architecture and detailed documentation while coordinating field changes and production-safe implementation in Allen-Bradley environments.”

Tyler Moon

Screened

Mid-level Software Engineer specializing in medical device and embedded systems

Sunnyvale, CA5y exp

“Software engineer from Abbott with hands-on experience building internal medical device engineering tools in MFC/C++/C#, including a reusable Trim Converter that automated manual workflows. Strong in modular architecture, asynchronous device communication, and iterating with users to improve reliability and workflow fit, now targeting fullstack engineering roles despite limited React/TypeScript production experience.”

“Engineering/product leader who builds business-aligned technology roadmaps and scales pod-based orgs with strong delivery discipline (OKRs, CI/CD, QA automation). Led a SaaS supply-chain application adopted by Fortune 100 customers, citing ~$4M MRR and ~87% gross profit, and has hands-on experience standardizing LLM + cloud/MLOps architectures with security/compliance guardrails. Also created the PISEK methodology and used it to run distributed innovation sprints (e.g., an AI ETA predictor moved from pilot to production).”

“Robotics software engineer focused on system-level C++/Linux stacks for multi-robot platforms, owning the communication layer and validation/testing infrastructure. Built Python simulation/replay and fault-injection tooling integrated with Docker + GitLab CI/CD, and debugged real-time localization issues by instrumenting IPC timing and refactoring multi-threaded pipelines for deterministic performance.”

“Telecom (Verizon) AI/ML practitioner who built a production multimodal system that ingests messy customer issue reports (calls, chats, emails, screenshots, videos) and turns them into confidence-scored incident summaries with reproducible steps and evidence links. Also built KPI/alarm-to-ticket correlation to rank likely root-cause domains (RAN/Core/Transport), cutting triage from hours to minutes and improving MTTR.”

“Full-stack engineer who owned end-to-end delivery of a customer-facing financial services web platform and built internal tooling for engineering teams. Strong in microservices and event-driven systems (Kafka/RabbitMQ), distributed transaction management (saga), and production performance/observability—achieving ~40% backend response-time improvement through database and query optimization.”

“Robotics software engineer focused on real-time state estimation and perception pipelines, with hands-on C++/ROS work improving LiDAR+IMU odometry stability via an iterative EKF and careful timing/synchronization fixes. Has integrated LIO-SAM, built multi-robot communication bridges (ROS + custom UDP with heartbeat/fallback), and uses Gazebo + Docker for repeatable testing, backed by CI/CD experience maintaining Azure DevOps pipelines at Cognizant.”

“OpenShift platform engineer with hands-on experience building OCP clusters on vSphere (bastion-host installs, VIP networking, OAuth/log forwarding/storage setup) and troubleshooting real-world install failures like IP exhaustion from incorrect subnet sizing. Also supported a client migration away from VMware by implementing OpenShift Virtualization, using the migration toolkit where possible and creating runbooks/YAML automation for manual migrations when workloads were incompatible.”

Aida Morales

Screened

Senior HR Business Partner specializing in organizational change and employee relations

Brooklyn, NY10y exp

“People/HR leader experienced managing distributed U.S. teams and partnering closely with product, design, and analytics organizations on org design, workforce planning, and performance management. Led a senior-leader-backed overhaul of onboarding plus a structured professional development framework, improving engagement and reducing turnover while driving a 15% promotion rate in the first year.”

sarah robert

Screened

Staff RPA & Automation Engineer specializing in Financial Services

Baton Rouge, LA11y exp

“Blue Prism RPA developer in a small FinTech-aligned team who owned ~20 production bots and drove both delivery and reliability. Built a shared VDI/locking design that cut infrastructure cost ~20–30% and routinely handled ServiceNow-driven production incidents end-to-end, including hotfixes and longer-term SDLC fixes. Also acted as a player-coach, training junior hires and maintaining high bot success rates (up to 99% within SLA).”

Sai Swetha Bodlapati

Screened

Senior Data Engineer specializing in Spark, Kafka, and Databricks Lakehouse platforms

Dallas, TX5y exp

“Data engineer at Fidelity who built and operated a real-time financial transactions lakehouse on AWS/Databricks, processing millions of records daily with Kafka streaming. Demonstrated strong reliability and data quality practices (watermarking, idempotent Delta writes, validation/reconciliation, observability) and delivered measurable improvements (~30% faster jobs and ~30% fewer data issues) while enabling trusted gold-layer analytics for downstream teams.”

“Analytics professional with healthcare experience at United Health Group, focused on turning messy claims and transaction data into reliable reporting assets. They combine SQL, Python, and Power BI to automate analysis, define operational KPIs, and build dashboards that improved stakeholder visibility and helped reduce processing time by about 22%.”

“Built production AI systems for Macy's and Bloomingdale's, including an embeddings-based pipeline to clean trending search queries and an end-to-end 'Ask Macy's' multi-agent chat experience. Brings hands-on experience with real-world agent orchestration, tool integration, quality evaluation, and business-facing safeguards in a large-scale e-commerce environment.”

“Software engineer who recently shipped an authentication and role-based access feature for a web app, using AI selectively for boilerplate, debugging, and test suggestions while retaining ownership of architecture, security, testing, and final review. Stands out for a disciplined, security-first approach to AI-assisted development and a pragmatic preference for lightweight API-driven solutions over unnecessary framework complexity.”

“Software engineer/product owner experience at UnitedHealth Group owning a high-volume claims eligibility console end-to-end (React/TypeScript + Spring Boot microservices) processing 1M+ transactions/day. Strong in event-driven architecture (Kafka/RabbitMQ), HIPAA-aligned security (OAuth/JWT/RBAC), and building internal observability tools that improve incident triage and production reliability.”

“Significant contributor/maintainer to an open-source JavaScript event-tracking client SDK, owning API consistency/backward compatibility, high-load batching and retry/backoff improvements, and test/CI + documentation upgrades. Diagnosed production-like issues (missing events under load) via reproduction and logging, then reduced GC pressure and improved predictability with a ring-buffer-based batching redesign while actively triaging issues and reviewing PRs.”

“AppSec-focused engineer from Kaiser Permanente who advises on authentication/API security, performs lightweight threat modeling, and integrates SAST + dependency scanning into CI/CD while actively reducing false positives to improve release speed. Demonstrated strong troubleshooting using logs/traces/metrics (e.g., diagnosing auth failures caused by clock skew) and communicates security tradeoffs differently for engineering vs product stakeholders.”

“QA/project leader with ~19 years experience running high-profile, multi-million-dollar software initiatives and driving quality through disciplined milestone gates (Alpha/Beta/FC/GM), regression planning, and weekly bug scrubs. JIRA-centric practitioner (Zephyr/Confluence) who partners closely with engineering, automation, documentation, marketing, and sustaining teams—including offshore collaboration—to unblock testers and improve diagnostics for difficult issues like memory leaks.”

“QA/automation engineer with hands-on experience spanning web UI automation (Cypress/JavaScript) and hardware/firmware validation (BIOS/BMC, FPGA). Has delivered high-impact reliability and throughput improvements in server/HPC environments, including automation that enabled booting across ~250 servers and requirement clarification that unblocked firmware work for ~550 servers.”