Vetted Troubleshooting Professionals

Manvi Panjwani

Screened

Mid-level Machine Learning Engineer specializing in cloud, governance automation, and distributed systems

San Francisco, CA4y exp

“Governance engineer intern at GSK who built policy-as-code automation using Open Policy Agent/Rego integrated into GitHub CI/CD and Terraform workflows. Also built and shipped a voice-enabled expense tracking app using speech-to-text + LLM structured extraction with strong validation, retries, and semantic guardrails, and designed the supporting PostgreSQL data model with performance-focused indexing.”

Ramyasree K

Screened

Mid-level DevOps/Cloud Engineer specializing in AWS infrastructure automation

Boston, MA4y exp

“Frontend engineer with experience building a large-scale React + TypeScript administrative dashboard for an e-commerce platform, using Redux Toolkit plus TanStack Query to separate UI and server state. Emphasizes quality at scale through CI/CD automation, Jest/integration testing, and performance techniques like code splitting and caching, with experience coordinating integration across multiple teams.”

“AIX/IBM Power veteran (30 years) with hands-on experience across the full stack—hardware installs, HMC/vHMC, VIOS, LPAR/DLPAR, NIM, and PowerHA fundamentals. Led SEV1 performance incidents (including Ethernet adapter tuning) and helped re-platform a large AIX estate to AWS (77 servers to ~120 EC2s) with extensive pre-cutover testing and operational automation (mksysb + sudo provisioning).”

“Backend/data engineer with production experience building Python FastAPI services and AWS-native data pipelines. Has delivered containerized and serverless workloads (ECS/EKS/Lambda) with Terraform-based IaC, strong reliability patterns (JWT/RBAC, retries/circuit breakers, observability), and AWS Glue ETL into S3/Redshift. Demonstrated measurable SQL performance wins (40–50s to <4s) and owned real pipeline incidents through detection, mitigation, and prevention.”

“Backend/platform engineer with production experience building a Python SDK over a microservices ecosystem, emphasizing reliability (JWT auth, retries/timeouts, custom exceptions) and integration testing. Has delivered AWS EKS microservices with Jenkins+Helm CI/CD, strong secrets/config separation using AWS Secrets Manager, and set up Datadog APM/deployment/change monitoring. Also modernized legacy VB applications to C#/.NET WPF via incremental migration with parity testing and stakeholder sign-off.”

“Field Application Engineer with a unique background as a former primary school teacher (6 years), leveraging strong communication to translate complex networking/AI concepts for customers. Has supported network analytics/ML platforms with LLM-powered recommendations, using sandbox reproduction and Kibana log analysis to troubleshoot issues. Experienced partnering with sales/CPM and third-party vendors to resolve data center deployment blockers (AI servers and cooling systems).”

“JavaScript full-stack engineer with experience at EY building secure, cloud-ready React/Node.js applications on AWS and currently at startup Juego Juegos owning the AWS backend and CI/CD via AWS Amplify. Demonstrated impact through performance tuning of a React analytics dashboard (reduced initial load time ~20%) and resolving real payment failures by debugging Stripe 3DS flows and updating AWS Lambda plus frontend error handling.”

“Backend/full-stack Java engineer at PNC Bank specializing in real-time fraud detection systems. Built event-driven Spring Boot + Kafka microservices with PostgreSQL/Redis performance tuning, and shipped a production LLM-powered RAG feature for fraud analysts with strong guardrails (grounded internal data, structured prompts with references, human-in-the-loop) plus an evaluation loop using labeled historical fraud cases.”

“DevOps/Infrastructure engineer with hands-on production experience building Jenkins CI/CD pipelines that provision Kubernetes infrastructure and process data into a MapR cluster. Uses Terraform to provision AWS resources (EC2, S3, VPC, subnets) with remote state in S3, separate environment state files, and code review/validation practices; targeting $135k base.”

John Boyle

Screened

Executive Construction & Infrastructure Leader specializing in heavy civil design-build and transportation

Palo Alto, CA18y exp

“Former COO turned President at United Infrastructure Group who helped scale the company from $80M to $450M in revenue (100 to 900 employees) while building an integrated operations/finance operating system using COINS, Power BI, and custom modules. Known for data-driven operational diagnostics (audited financials, project benchmarking) and for leading complex system integrations (including COINS + Tenna) to deliver real-time dashboards and measurable efficiency gains.”

Abhilash Seshadri

Screened

Senior Mechanical/R&D Engineer specializing in orthopedic medical device product development

Laotto, IN9y exp

“Founding engineer at a previous company who reports owning all products end-to-end from ideation through launch and inventing the company's flagship technology/products; emphasizes making development tradeoffs to deliver safe, functional, usable, ergonomic products.”

Harika Reddymalle

Screened

Mid-Level Full-Stack Software Engineer specializing in backend automation and insurance systems

Dallas, TX4y exp

“Full-stack engineer with hands-on production ownership across Angular/.NET/SQL and React+TypeScript/Node/Postgres stacks, including CI/CD and AWS operations (EC2/ECS, RDS, S3, CloudWatch). Delivered an internal insurance document upload and tracking feature end-to-end, adding audit/history and async processing, then validated success through monitoring metrics and reduced support tickets. Comfortable shipping MVPs in ambiguous environments using feature flags, strong validation, and backward-compatible database migrations.”

PAVEL A ASPIAZU

Screened

Senior Paid Media (SEM/PPC) Manager specializing in Google Ads and Meta performance marketing

McLean, VA26y exp

“Paid media performance marketer with agency experience owning a high-spend account for ArcPoint Labs, running multi-channel Google Ads (search/display) and Meta campaigns to drive medical testing appointments and sales. Reported lifting ROAS from ~2x to ~6–7x within ~18 months while supporting expansion from 30 to 60 U.S. locations, using disciplined attribution, constant A/B testing, and structured campaign health audits.”

Sanjana Akula

Screened

Senior Full-Stack Software Engineer specializing in cloud-native microservices and FinTech

New York, NY5y exp

“Front-end engineer with experience at Optum and Wells Fargo maintaining internal React/Angular component libraries and design-system-aligned UI modules used across multiple apps. Known for stabilizing shared libraries via semantic versioning, Jest test automation, and high-quality documentation, plus measurable performance wins (≈40% faster dashboard loads) through profiling-driven React and API optimizations.”

Rahul Solleti

Screened

Mid-Level Software Engineer specializing in cloud-native microservices and full-stack web apps

United States5y exp

“Backend/platform engineer focused on real-time financial fraud detection and transaction monitoring, building low-latency FastAPI + Kafka systems with strong reliability patterns (DLQs, idempotency) and cloud observability. Has hands-on Kubernetes delivery across AWS EKS and Azure AKS with automated CI/CD and GitOps-style deployments, plus experience migrating legacy C# / Java monoliths to containerized microservices using Terraform/ARM and zero-downtime rollout strategies.”

“Built a senior design project for Webquity LLC: a React/TypeScript Chrome extension and web app helping students with ADHD manage focus, tasks, and productivity across devices. Stands out for combining performance tuning, cross-device sync, accessibility-minded UX research, and polished UI touches like theming, weather-reactive backgrounds, and Lottie-based mascot animations.”

“Backend-focused engineer with banking-domain deployment experience who has owned releases end-to-end, from discovery and API/database implementation through post-launch stabilization. Brings a reliability-first mindset across distributed systems, incident response, and messy real-world data handling, and has also applied that foundation to retrieval-based LLM workflows in production-oriented cloud environments.”

“Robotics software engineer who built a full LiDAR SLAM pipeline from scratch in C++ (ICP, pose graph optimization, loop closures) and validated it quantitatively against ground-truth datasets. Extensive ROS2 experience from academics and an internship building a localization system, plus practical deployment work using Docker across x64 and ARM edge devices; also trained RL policies for TurtleBots in Gazebo.”

“Built an AI-powered loan automation dashboard using React and open-source JavaScript libraries, with hands-on experience improving real-world performance by reducing re-renders and optimizing/caching multiple API calls. Also produced developer-friendly API documentation for a voice assistant project, helping teammates integrate features faster with fewer errors.”

“Software engineer with experience at Wipro Technologies and Wells Fargo building React-based SPAs, reusable component libraries, and developer documentation. Demonstrated strong performance engineering (React.memo, list virtualization, code splitting) with reported >50% rendering-time improvement, plus hands-on production support by diagnosing API outages via monitoring/logs and implementing traffic/server fixes. Comfortable leading workstreams in fast-changing environments using Kanban and tight stakeholder feedback loops.”

“Built and monetized an object-identification app end-to-end (FastAPI backend, HTML/JS frontend, SQLite→Postgres, auth, and an iOS wrapper via Capacitor/Xcode with Apple privacy/policy compliance). Also productionized an AI-native geospatial metadata/QA assistant using LLM+RAG plus deterministic Python validation, measuring impact via time-to-first-pass review and rework rate, and has experience modernizing legacy GIS workflows and delivering across USDA/FEMA-style teams with disciplined Jira-based execution.”

Maria Fernanda Andrade

Screened

Senior Performance Marketing Specialist specializing in global paid media

Berlin, Germany9y exp

“Contract/freelance paid media specialist who personally managed a high-spend ($50K–$80K/month) ecommerce cycling brand across Meta and Google. Drove measurable gains including ROAS improvement (~3.2 to ~5.2), ~$330K+ tracked revenue on an ~$80K peak-month spend, and ~20% CPA reduction through structured creative/audience testing, feed optimization, and profitability-focused campaign management.”

“Engineering professor turned private-sector operator with 12 years of teaching experience and a track record of coaching non-technical learners into STEM and coding roles. Also brings experience scaling companies while reducing infrastructure costs, plus a strong people-development mindset shown through building and personally supporting employee certification programs.”

“Built and shipped a production LLM-powered agent for supply chain operations that integrates ERP data and automates multi-step decision-making with tool calling, state management, and structured JSON outputs. Emphasizes production reliability (guardrails, fallbacks, monitoring, idempotency) and reports strong business impact: 40% faster decisions, 30% higher throughput, and 25% efficiency gains.”