Vetted Debugging Professionals

Chaitanya Annabathana

Screened

Mid-level Software Engineer specializing in AI pipelines and enterprise integrations

USA5y exp

“Candidate has 4 years of experience and appears strongest in customer-facing implementation and AI-enabled workflow automation. They describe owning deployments end-to-end, putting an LLM support assistant with RAG and function calling into production, and improving support operations with a 30% reduction in resolution time and 25% gain in agent productivity.”

Austin Pierce-Ptak

Screened

Mid-level Software Engineer specializing in full-stack and ETL systems

Seattle, WA5y exp

“Backend engineer with end-to-end ownership experience across enterprise SaaS and high-volume data systems, including PostgreSQL/.NET services at Visual Lease and ETL pipelines at Broadridge processing millions of records for Fortune 500 clients. Stands out for combining production support, observability thinking, and pragmatic architecture tradeoffs, while also experimenting with LLM-powered job application automation using Claude.”

“Backend-focused engineer with hands-on experience deploying AI-driven document processing and RAG-based workflows using Python, LangChain, FAISS, and REST APIs. Has owned projects from requirements through post-launch monitoring, including debugging production retrieval issues and building reliable pipelines for messy PDFs/scans and compliance-oriented document analysis.”

Jaeseong Yoon

Screened

Intern-level Software Engineer specializing in full-stack and AI applications

Incheon, Korea0y exp

“Frontend-focused engineer who built Smart Place Analytics, a browser-based facility operations dashboard combining occupancy analytics, alerts, live monitoring, recommendations, and decision history. Stands out for pairing strong UI architecture in Next.js/TypeScript with hands-on browser media work like getUserMedia, canvas capture, throttling, and cleanup to make complex monitoring workflows feel stable and operator-friendly.”

“UE5 Blueprint-focused gameplay/system designer who shipped an XR interactive experience (“Echoes of the Moon”), owning interaction logic, progression triggers, state management, and animation syncing through ship. Emphasizes modular component-based architecture with interfaces and data-table-driven tuning, plus strong profiling/optimization skills (refactoring Tick-heavy systems to event-driven) validated through 20–30 user playtests and mobile XR (Android) frame-budget constraints.”

“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 robotics and ML background (BS Software Engineering w/ Robotics minor; MS CS w/ ML minor) who built autonomy-focused student robotics projects combining RFID + camera sensing, path planning (Dijkstra), and fuzzy logic, and experimented with neural-network approaches. Also brings production-grade software practices from a Dell software analyst role, emphasizing maintainability, documentation, and testing for real-time systems.”

“Backend-leaning full-stack engineer who led a legacy monolith-to-microservices migration (OAuth, Redis, ActiveMQ) while shipping incrementally via CI/CD to avoid user disruption. Strong in search/filter experiences and performance tuning (Solr schema + relevance boosting) with measurable impact (login reduced to ~5s), plus React/TypeScript UI work including configuration-driven filters and shareable URL state.”

“QA automation engineer with deep experience owning end-to-end Cypress/JavaScript test suites (smoke, regression, and API contract tests) integrated into GitHub CI with merge gating and rich reporting. Demonstrated healthcare enrollment domain expertise by catching a critical eligibility versioning/overwrite defect via API + DB assertions that UI tests missed, then hardening the pipeline with contract tests and idempotency checks.”

Manali Kishor Gawande

Screened

Junior SDET/QA Automation Engineer specializing in FinTech testing and CI/CD automation

Tempe, AZ2y exp

“QA automation engineer from Bajaj Finance who owned end-to-end automated test suites for large-scale web/mobile products (70M+ users), building Python and API automation integrated with Jenkins/Azure DevOps. Drove measurable quality outcomes (40% less regression effort, 35% fewer production defects, 98% successful UAT across 25+ releases) and has strong fintech lending domain experience (loan disbursement/repayment/eligibility).”

Navya Sureddy

Screened

Mid-level Full-Stack Developer specializing in Angular/React and Spring Boot

Columbus, IN5y exp

“Full-stack engineer with experience at Cummins owning production features end-to-end (React/TypeScript + Node + Postgres) and operating them in AWS (EC2/RDS/S3/IAM) with CloudWatch-based observability. Also built resilient ETL and third-party integrations, including an AWS Glue–S3–Redshift pipeline hardened with validation, idempotent UPSERTs, retries/backfills, and quarantine handling to prevent bad or duplicate data.”

Manali Patil

Screened

Senior Software Engineer & Engineering Manager specializing in cloud backend and manufacturing MES

Santa Clara, CA9y exp

“Customer-facing engineer who led recurring midnight ERP data-feed/B2B integrations from prototype to production, building reusable APIs and using Hangfire for job scheduling. Known for tight weekly customer iteration, strong documentation and test coverage (80%+), and cross-functional problem-solving with Operations/Quality/NPI to resolve data-collection and manufacturing-process constraints; has 2 customers live on the integration.”

“Backend engineer with hands-on ownership of a production POS platform, including architecture, CI/CD, Kubernetes deployment, and live incident handling. Also built a RAG-based document Q&A system using OpenAI/Anthropic with hybrid retrieval, evaluation metrics, and fallback logic, showing both traditional backend depth and practical applied AI experience.”

Himabindu Yarlagadda

Screened

Mid-level Embedded Systems Engineer specializing in industrial IoT firmware

Hammond, IN4y exp

“Embedded systems engineer with hands-on experience using AI tools to accelerate debugging and development while maintaining strict review standards for safety-critical firmware. At Trigent, they effectively led the architecture and rollout of an automated MISRA C-compliant code generation pipeline and became the go-to technical owner across 8 active projects.”

“Backend and distributed-systems engineer with experience integrating LLM capabilities into clinical data workflows at CVS. Stands out for treating AI as an engineering accelerator rather than a shortcut, with strong emphasis on validation, observability, Kafka-based async pipelines, and safe multi-agent orchestration for production systems.”

“Built and shipped a production LLM-driven data harmonization/record-matching pipeline for pharmaceutical datasets, combining normalization, embeddings/vector search, and an LLM validation step. Emphasizes production reliability via guardrails, confidence thresholds, idempotent/retryable stages, and human-in-the-loop fallbacks, with monitoring focused on manual review and error rates to reduce false positives.”

Sai Chinthalapudi

Screened

Mid-level Full-Stack .NET Developer specializing in cloud and microservices

United States4y exp

“Software engineer with healthcare platform experience at CVS Health, focused on APIs, SQL performance, and distributed systems. Worked on a 5-6 engineer team building a healthcare simulation platform and drove API/query tuning and caching improvements that cut response times by 50% for real-time, high-volume telemetry workflows.”

“Frontend engineer focused on scalable React/Redux + TypeScript applications, with hands-on experience designing reusable component architectures, improving performance (reducing re-renders, streaming API calls), and hardening maintainability through standardized styling and unit tests. Has shipped deadline-driven dashboard features (e.g., filters) using Agile practices and Jira to manage QA and client feedback.”

“Backend-focused Python engineer who builds modular Flask services on AWS and specializes in performance/scalability work across data-heavy APIs. Has concrete wins in query optimization (1.5s to <200ms) and high-throughput async processing (Celery+Redis, ~40% throughput gain), plus experience serving scikit-learn text classification models via containerized REST services and designing multi-tenant data isolation strategies.”

“AI/ML engineer (Merkle) with hands-on experience deploying RAG-based LLM applications and real-time recommendation engines into production. Strong in cloud/on-prem architectures, GPU autoscaling, caching, and network optimization—delivered measurable latency reductions (40–70%) and improved retrieval relevance by systematically benchmarking chunking/embedding configurations and validating pipelines via CI/CD.”

“Unity VR developer who has shipped on Meta Quest, including Metro Awakening (Steam Awards 2024 VR Game of the Year) as an AI Programmer, focusing on performance-critical multi-agent AI optimization (EQS/HTN) for Quest 2. Also shipped Final Fury, taking ownership across gameplay, UI, networking (sync mechanics), and AI on a small team, and built a data-driven gesture/move system for VR fighting prototypes.”

Estelle Marcella Bouopda Meba

Screened

Mid-level Full-Stack Developer specializing in React and RESTful APIs

Gatineau, Canada4y exp

“Frontend React/TypeScript engineer who built a text-to-speech feature from scratch end-to-end, including frontend-backend communication and testing. Experienced improving existing React codebases through refactoring into reusable components, custom hooks, and performance optimizations, and collaborates closely with product/design using Figma, design systems, and early previews via staging/Storybook.”

Abhiram Yakkali

Screened

Entry-Level Embedded Firmware Engineer specializing in real-time systems

San Jose, CA0y exp

“Embedded/bare-metal engineer with hands-on sensor performance work: built a real-time profiler for a LiDAR system that tracked CPU/core usage and pixel buffer metrics to quickly identify and validate fixes for bright-light performance issues. Also has Ethernet/UDP device communication experience plus Docker and CI test-suite overhaul work to run sensor functionality tests on every commit.”

Dane Copsey

Screened

Director-level Customer Support Manager specializing in video games and player support operations

Simi Valley, CA16y exp

“Game industry QA and customer support professional with experience at Zynga (QA tester in a small, highly collaborative studio) and 505 Games (customer support manager). Has supported live-service operations and major releases for 8+ years, combining community-driven bug triage/regression with strong cross-team reporting and player communication to drive fixes through verification.”