Vetted Debugging Professionals

“Full-stack React/Next.js engineer focused on routing and data-fetching reliability, including handling slow/unreliable networks with loading states, retries, and request cancellation to prevent stale data. Has delivered measurable frontend performance gains (reported ~40% improvement in time-to-interactive) using lazy loading, memoization, and profiling with React Profiler.”

Dwarakesh Rajesh

Screened

Intern Robotics/Mechatronics Engineer specializing in automation and ROS2 systems

Boston, MA1y exp

“Robotics software builder who developed a solo fault-adaptive robotic arm: current-based joint health monitoring feeding an ESP32, ROS 2/MoveIt 2 motion planning that adapts to joint failures, and a custom brute-force IK solver to overcome URDF/MoveIt singularity issues. Also worked on real-time 12-microphone sensor-fusion audio processing for drone navigation, resolving buffer/noise problems with multithreading and chunked sampling; experienced with Webots/CoppeliaSim and learning Isaac Sim.”

Yusuf Abdikadir

Screened

Senior Software Engineer specializing in 3D simulation, digital twins, and robotics

London, United Kingdom6y exp

“UK-based Unity developer who built a 3D simulation/digital-twin platform for an autonomous-vehicle startup, integrating Unity environments with external robotics stacks, web APIs, virtual sensing, and dynamic traffic systems. Interested in moving into VR, though has not shipped VR/Meta Quest titles yet.”

Naga Chandra mouli Thammineni

Screened

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

Hyderabad, Telangana, India2y exp

“Software engineer who built and owned a centralized Asset Management platform at Hyundai Mobis used daily by multiple internal teams, delivering everything from UI/TypeScript React frontend to Spring Boot services, databases, deployment, and post-release support. Experienced in scaling microservices with Kafka-based async workflows, improving data consistency/real-time updates, and implementing reliability patterns like standardized API contracts, retries, DLQs, and targeted caching.”

Devin Jackson

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Mid-level Gameplay AI Engineer specializing in Unreal Engine

Vancouver, WA4y exp

“UE5 gameplay/system designer with an engineering background who has shipped player-facing systems including an enemy weak-point feature (with replication and performance fixes) and a modular spectator minigame framework for Killer Klowns from Outer Space: The Game. Also implemented lobby mode and disconnect team-balancing (AI backfill) for Ghostbusters: Spirits Unleashed, leveraging profiling/debug tooling and cross-discipline collaboration to get features to shipping quality.”

Hemanth Kumar Gajagiri

Screened

Mid-level Full-Stack AI Engineer specializing in agentic systems and scalable platforms

San Francisco, CA6y exp

“AI-focused full-stack/DevOps engineer who goes beyond using copilots and has built production-oriented LLM systems such as natural-language-to-SQL and structured insight extraction pipelines. Stands out for treating AI as an accelerator rather than a replacement, with a strong emphasis on guardrails, validation, observability, and safe deployment practices in agent-based and distributed systems.”

“Engineer with hands-on experience designing and leading multi-agent AI development workflows, including a LangGraph-based system that automated parts of a RAG pipeline and significantly reduced development time. Stands out for treating AI agents like an engineering team, with clear architecture, handoff schemas, validation, and supervisor-driven conflict resolution.”

“Front-end engineer with deep expertise in sophisticated browser-based UIs for manufacturing ERP workflows, including a custom canvas-rendered scheduling timeline used by production planners all day. Stands out for combining low-level browser performance knowledge with close observation of expert users, resulting in a tool that replaced long-standing spreadsheet workarounds and significantly improved scheduling efficiency.”

“Backend-focused engineer with strong Go and database optimization experience who improved a high-traffic API by about 30% and helped stabilize peak-load performance for an event reservation platform. Brings hands-on production experience across PostgreSQL, Redis, Rails/Go services, and B2B SaaS integrations with Slack, Hubstaff, and RingCentral, with a clear pattern of owning performance bottlenecks end to end.”

“Full-stack engineer with production experience across React/TypeScript, Node/Express, and Java/Spring Boot, operating containerized systems on AWS (EKS/ECS/EC2/RDS/S3) with strong observability (CloudWatch/Grafana). Notable for fixing a real checkout/order-placement failure end-to-end by adding frontend submission guards and backend idempotency with Redis + Kafka deduplication, then validating impact via technical metrics and business KPIs. Has also built Kafka-based integrations/pipelines with robust retry/backfill/reconciliation patterns in retail and banking contexts.”

“Backend/real-time systems engineer transitioning into robotics software: building ROS 2 fundamentals (pub/sub, custom messages, launch files) and experimenting with Nav2 + SLAM in Gazebo/RViz. Demonstrated practical debugging by tuning costmaps/planners and analyzing topic latency to stabilize simulated navigation, and has experience integrating telemetry pipelines and REST-based external interfaces.”

“Backend engineer who architected and owned a mission-critical outage management/decision-support platform, replacing a legacy system that failed under load. Emphasizes auditability, deterministic validation, and server-side concurrency controls (section locking, scoped autosaves), plus redundancy/load balancing and monitoring to keep the system stable for 24/7 operations handling 1,500+ weekly outage events.”

“Backend/integration-focused engineer in the Maryland area with production experience building FastAPI REST services secured with OAuth2.1/JWT and reliability patterns (timeouts, selective retries, idempotency, centralized error handling). Has delivered AWS-integrated MuleSoft/CloudHub solutions and supported AWS Glue ETL workflows, plus demonstrated strong SQL tuning with a 30–40s to 3–5s performance improvement.”

“Accenture engineer who owned an insurance e-application end-to-end and drove incremental releases that reduced recurring production issues. Also built a TypeScript/React (Next.js) + NestJS microservices platform using PostgreSQL, Redis, Stripe, and Kafka, with strong focus on decoupling, eventual consistency, and scaling consumers under load. Created a hackathon chat-based internal assistant that used live form context and documentation-grounded answers to help agents resolve customer queries during form filling.”

“Robotics engineer who led core autonomy stack development at Spacer Robotics (Isaac ROS/ROS2) spanning sensor integration, SLAM/mapping, navigation, and validation. In a research lab thesis, built three mobile robots from scratch and created a distributed multi-agent collaboration framework with blockchain-based incentive models, demonstrating depth in both hands-on robotics and distributed systems.”

“Built and maintained a Node.js backend for a restaurant recommendation project that became widely reused by other students, effectively acting like an internal open-source library. Refactored a messy filtering system into modular query/validation/pagination utilities, added tests, and upgraded docs (JSDoc, README, demo app) to reduce repeat issues and make contributions easier. Comfortable owning end-to-end improvements (design, performance, documentation, and support) in unstructured environments.”

“Software engineer with Prudential Financial experience building enterprise Spring Boot microservices for policy/risk assessment, including integrating Python ML models via Flask and hardening services with resiliency patterns. Also led an AWS lift-and-shift modernization during an internship (EC2/ELB/Route53/Auto Scaling) and built a personal diffusion-model text-to-music project using BERT tokens mapped to Mel spectrograms.”

“Data engineer with Webster Bank experience owning end-to-end pipelines (APIs + databases) processing millions of records/day, improving data quality (25–30% fewer issues) and reliability (~99.9% successful runs). Built resilient external data ingestion/scraping systems (schema-change validation, idempotent backfills, monitoring/alerts) and shipped a FastAPI service exposing curated datasets with versioning and consistently low latency.”

Suraj Thangellapally

Screened

Junior Software Engineer specializing in machine learning and data science

San Jose, CA2y exp

“Python backend engineer who built a personal LLM-powered AI code review tool that parses code into context-preserving diff chunks and uses the OpenAI API to analyze and summarize changes. Has hands-on Kubernetes deployment experience (replicas, rolling updates, ConfigMaps/Secrets, health probes) and follows GitOps-style, declarative CI/CD workflows; also has experience designing streaming/event-style processing with attention to reliability and observability.”

Aniruth Ravula

Screened

Mid-level Full-Stack Java Developer specializing in Angular and Spring Boot microservices

5y exp

“Full stack Java developer (5 years Java/Spring Boot) building a mortgage-focused rule engine platform used by business users and developers. Experienced scaling data-intensive microservices on AWS (RDS/S3/SQS) and optimizing high-volume rule processing with SQL tuning, caching (KIE container), and asynchronous task decoupling; also delivers modern UIs in Angular and React (Redux/Toolkit).”

Vamshi Korra

Screened

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

Remote, USA5y exp

“Open-source React dashboard/visualization library maintainer focused on runtime performance and API clarity. Led a significant effort to eliminate severe render lag on large live-updating datasets through profiling-driven refactors (normalized state, memoized selectors) and locked improvements in with CI, linting, and documentation that reduced regressions and improved external contributor onboarding.”

“Entry-level software engineer who independently built an AI-powered feedback aggregation and analytics dashboard end-to-end using Cloudflare Workers, D1, and React. Stands out for combining serverless backend design, LLM-based categorization, and thoughtful UI/UX polish, with a practical approach to production debugging and data reliability.”

“Developer in the mortgage domain who owns regulated client-letter and reporting changes across front-end scripting, serverless testing environments, and SQL/reporting workflows. They stand out for improving release operations by introducing SOAP UI testing, which nearly doubled letter-update throughput even while serving as the only developer on these projects, and for quickly resolving production issues within 24 hours.”