Vetted Jenkins Professionals

Prince Gupta

Screened

Senior QA Lead / Release Manager specializing in web, mobile, and OTT platforms

Mumbai, India8y exp

“Game QA professional working in an agile studio environment with end-to-end ownership of feature testing, including an AAA release enhancement focused on user authentication and session management. Experienced partnering with PM/design/dev from PRD walkthroughs through triage, regression, and release readiness, and has implemented repeatable coverage via TestRail/Jira traceability plus Playwright (TypeScript) automation.”

Monish Reddy Bonthu

Screened

Mid-Level Full-Stack Engineer specializing in real-time systems and FinTech

FL, USA5y exp

“Backend engineer with hands-on experience modernizing a real-time logistics/tracking platform from a tightly coupled polling architecture to a service-oriented/microservices design using Node.js and WebSockets. Emphasizes contract-first FastAPI development, defense-in-depth security (JWT/OAuth, RLS/Supabase), and safe incremental migrations with feature flags and strong observability, delivering sub-second updates and improved performance under peak load.”

Pari Ramamoorthy

Screened

Senior Frontend Developer specializing in React, accessibility, and enterprise web apps

Toronto, ON12y exp

“Frontend engineer who has led end-to-end React + TypeScript initiatives, including a shared frontend module used across product lines/regions and an inventory discovery experience for large datasets. Strong in scalable architecture (feature-based, configuration-driven, role-aware components), design systems with Storybook, and performance/quality practices (profiling, CI/CD, automated testing, feature-flagged rollouts). Reported ~30% reduction in duplicate code after refactoring an existing React codebase.”

“Unity/C# tech lead specializing in multiplayer systems and networking reliability: built a transaction/prediction-based multiplayer inventory system using snapshots/deltas that eliminated duping and supports very large item transfers via RPC. Also implemented an LLM-driven localization pipeline (SGLang on DGX Spark with Gemma Translate) with automatic OpenAI fallback and human QA, and has shipped VR work on Meta Quest 3 with cross-platform input abstraction (mobile/VR/web).”

“Backend/AI engineer who built production-grade intelligence systems in high-stakes domains including tax/legal document analysis and brain tumor MRI workflows. Stands out for combining LLM/RAG product delivery with strong engineering rigor around retrieval evaluation, grounding, validation, observability, and safe fallbacks—turning impressive demos into systems users could actually trust.”

“Built GynAI, an end-to-end maternal clinical decision support platform for OB/GYN practices and hospitals in North America, combining predictive ML with RAG-based LLM explainability. The candidate emphasizes real production ownership across experimentation, deployment, monitoring, and iteration, with reported impact including fewer delayed interventions in high-risk pregnancies and a 15-20% reduction in false positives.”

Venkatasai Vorsu

Screened

Mid-level Full-Stack Software Engineer specializing in Java microservices and cloud platforms

Houston, TX5y exp

“Full-stack engineer with strong React/TypeScript and Spring Boot experience in banking and financial systems, focused on real-time transaction monitoring and payment tracking products. Stands out for scaling high-volume dashboards, solving rendering bottlenecks in live data UIs, and owning features end-to-end from frontend through APIs, Oracle data layer, cloud deployment, and production monitoring.”

“Backend engineer specializing in event-driven/serverless systems and Python/FastAPI APIs. Built a scalable PDF-to-structured-data pipeline on AWS (S3, Lambda, Step Functions, Textract, DynamoDB, SNS) with strong observability (p50/p90/p99) and reliability patterns (idempotency, retries/DLQs), and has led zero-downtime migrations using feature flags, dual writes, and incremental rollouts.”

“Robotics software engineer focused on production ROS 2 (Humble) systems for warehouse AMRs, with strong architecture and integration chops. Built a ROS 2 Lifecycle-based hardware abstraction layer to decouple autonomy from sensors (including mid-production LiDAR vendor swap), enabling mixed fleets and cutting bring-up/integration time dramatically. Also develops Nav2 plugins, MPPI tuning workflows, and scalable simulation/CI tooling (Gazebo, Docker, GitHub Actions) for high-throughput testing.”

“Unity developer who implemented a cross-console (Nintendo/Xbox/PlayStation) UI navigation system that avoided interfering with mobile controls and became the project-wide standard after adoption. Also built Photon Fusion multiplayer test projects during COVID, handling core networking concerns like spawning, synchronization, projectiles, and damage.”

“Frontend engineer who has led customer-facing React + TypeScript products end-to-end, building complex dashboards with robust async state patterns (caching, deduping, cancellation, optimistic updates) and strong quality practices (TypeScript standards, layered testing, production monitoring). Experienced modernizing inherited codebases through modularization and performance work (code splitting/memoization) while aligning stakeholders and shipping safely via feature flags and staged rollouts.”

“Full-stack engineer from Clairvoyant who led end-to-end delivery of a cloud-native, event-driven platform: Spring Boot microservices + Kafka real-time streams with an Angular UI, migrated and containerized on AWS, and automated CI/CD with Jenkins/Maven/Git. Demonstrates depth in distributed consistency challenges (partitioning, consumer lag/duplicates) and database performance tuning across SQL/NoSQL under heavy workloads.”

“Software/automation QA professional with hands-on Oculus VR testing at Telkom, covering controller inputs, tracking reliability, performance/FPS stability, thermal behavior, crash reproduction, and system-level events (standby/resume, low battery, network interruptions, guardian changes). Familiar with the intent and coverage areas of console certification frameworks (Sony TRC/Microsoft XR/Nintendo LOTcheck) and uses AI to speed up log analysis and test case creation.”

“Full-stack engineer operating in early-stage, high-velocity environments (OpGov.AI/UST Calibrate) who ships production Next.js App Router features end-to-end (RSC, Server Actions, SEO, RBAC, caching) and owns performance post-launch. Demonstrates strong data/infra depth—designed Postgres JSONB-based event models for DevOps/DORA analytics and tuned queries from ~2s to <50ms, plus built durable ingestion workflows with retries and idempotency on Azure.”

“Built and shipped production AI search and RAG features for a university portal, including an embeddings-based semantic search layer and a documentation-grounded assistant with citations and anti-hallucination prompting. Also developed scalable, reliable data pipelines integrating Google Ads/GA4/Meta APIs for automated reporting, with strong focus on evaluation loops and retrieval quality improvements (hybrid search, chunking, query-log driven iteration).”

“Data science professional who has built a production RAG-based LLM question-answering system ("Flash Query") to deliver fast, accurate answers over large document collections, focusing on retrieval quality and grounded responses. Also collaborates with non-technical retail/jewelry stakeholders to turn business questions into predictive models and dashboards for decision-making.”

Sriram Krishna

Screened

Mid-Level Software Engineer specializing in AI/ML and cloud-native platforms

Redmond, WA5y exp

“Backend/AI engineer who has built production LLM orchestration and agentic workflow systems in Python/FastAPI on Kubernetes across AWS/Azure. Demonstrated strong reliability engineering by debugging a real-world memory retention issue that caused latency spikes/timeouts, and strong data/performance chops with a PostgreSQL optimization that cut query latency from ~1.2s to ~15ms. Targets roles building scalable, guardrailed AI-driven workflow automation with robust observability and human-in-the-loop controls.”

Homak Patel

Screened

Junior Software Engineer specializing in Agentic AI and Data Systems

2y exp

“Forward Deployed Engineer at EasyBee AI who productionized a self-storage customer’s multi-agent LLM system end-to-end—rebuilding it with LangGraph/CrewAI, integrating with real property management + CRM systems via an MCP server, and adding observability/guardrails for reliable daily use. Experienced in live troubleshooting of agentic workflows, developer demos/workshops (including an open-source project, MerryQuery), and partnering with sales to close deals through customer-specific technical demos and fast integration feedback loops.”

Manas Agarwal

Screened

Junior Full-Stack Software Engineer specializing in Python APIs, React, and cloud AI integrations

Superior, CO2y exp

“Customer-facing software engineer who builds and deploys practical AI/RAG solutions (e.g., an AI assistant for searching billing PDFs) by deeply understanding support workflows and iterating with users. Demonstrates strong production instincts—quickly stabilizing peak-traffic API timeouts with caching/background jobs, then implementing durable fixes with proper monitoring and maintainable code practices.”

Annie Suzan Edwin Arokiaraj Caroline

Screened

Junior Full-Stack Software Engineer specializing in distributed systems and data pipelines

Tempe, AZ1y exp

“Backend engineer with hands-on experience building distributed data and API platforms (Kafka + Neo4j on Kubernetes), including processing 3M+ NYC taxi trip records and achieving sub-second graph analytics queries. Strong focus on reliability and performance in Python/FastAPI systems—async refactors, caching, timeouts/retries, feature-flagged rollouts, and JWT/RBAC security for production services.”

Mateus Capelesso

Screened

Senior Unity/Game Developer specializing in mobile games and gamified experiences

Laranjeiras, Brazil5y exp

“Unity/VR solo developer with hands-on Meta Quest shipping experience, including an AI-driven anatomy education app using ElevenLabs narration. Spent ~3 years at Brazil-based Pixel SAV building interactive VR experiences, notably a Volvo VR crash test simulation that synchronized VR animations with a custom haptic chair for immersive physical impact simulation.”

Ian Li

Screened

Senior Test Automation Engineer specializing in mobile UI/API automation and CI/CD

7y exp

“QA automation engineer (Tencent experience) who extended Android Monkey testing to dramatically increase activity coverage (~300%) and cut runtime from 8 hours to ~1 hour per app. Strong in Cypress/JS test architecture and CI/CD gating (GitLab + Kubernetes parallel runs), and has a track record of reproducing and documenting high-impact reliability issues (e.g., silent failures in a cloud-native mobile automation platform under network loss).”

Sanskar Pandey

Screened

Junior Full-Stack Java Developer specializing in FinTech microservices

OH, USA3y exp

“Full-stack engineer with production experience building a real-time order tracking system using React + Firebase/Firestore, emphasizing audit-friendly data modeling, state-machine-based status transitions, and strong post-launch ownership (performance, security rules, reliability). Demonstrated measurable frontend performance gains by isolating real-time updates to dynamic components and applying memoization, plus backend reliability patterns (idempotency, retries) and SQL query/index optimization validated with EXPLAIN ANALYZE.”