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Vetted Sprint Planning Professionals
Pre-screened and vetted.
Director-level QA & Delivery Manager specializing in games, mobile, and Web3
Mid-level Full-Stack Developer specializing in FinTech and Insurance platforms
Intern Software Engineer specializing in data pipelines, security tooling, and ML for equities
Mid-level Full-Stack Developer specializing in Java/Spring and modern web apps
Mid-level Full-Stack Developer specializing in React/Node and cloud dashboards
Mid-level Full-Stack Java Developer specializing in cloud-native web applications
Mid-level Full-Stack Software Developer specializing in cloud-native microservices
Mid-level Backend Software Engineer specializing in Java microservices and cloud-native systems
Senior DevOps & Cloud Engineer specializing in Kubernetes, IaC, and DevSecOps
Junior Full-Stack Engineer specializing in web and mobile applications
Senior Software Quality Assurance Engineer specializing in automation, CI/CD, and release quality
Senior QA Analyst specializing in web and CMS testing
Jaraad Hines
Senior Product Lead & Product Engineer specializing in FinTech and AI platforms
“Product engineer/designer with founder mindset who shipped a blockchain-enabled investor group/governance platform using Next.js (App Router), TypeScript, Prisma/Postgres, and Temporal. Emphasizes auth-centric onboarding (SSO + embedded wallet) to make dApp UX feel more like SaaS, and brings strong reliability practices (idempotent retries, reconciliation) plus experience demoing to investors and operating in seed-stage teams (ex-Vouched).”
Sesha SaiSrikar Gaddam
Intern Mechanical Engineer specializing in robotics design and CAD
“Robotics engineer focused on MATLAB-based simulation and system-level/mechanical aspects of robot safety and coordination. Built an obstacle detection/collision-avoidance approach for a SCARA robot in shared human workspaces and optimized a swarm robotics simulation via priority-based task allocation and congestion-aware routing; currently ramping up on ROS concepts and interested in Gazebo + Docker/CI/CD for end-to-end robotics workflows.”
Timothy Flechtner
Executive Technology & Product Leader specializing in games, platforms, and real-time systems
“Engineering leader with gaming and fintech/trading-firm experience who built a sponsor-funded gaming rewards platform (AmEx-style) requiring integrations across Steam/Epic/Xbox/PlayStation and Discord. Emphasizes production-grade, 12-factor delivery with Terraform/Docker/CI/CD and automated testing, plus pragmatic org scaling and remote-team culture built on aligned autonomy and trust.”
Tarang Nair
Mid-Level Full-Stack Software Engineer specializing in cloud-native APIs and AI apps
“Early-stage startup full-stack engineer who built an inventory and billing management product for retail shop owners in India, iterating quickly based on customer feedback. Has hands-on experience designing scalable cloud infrastructure on GCP with Kubernetes and applying clean architecture for testable, modular systems; also built internal monitoring dashboards for error and performance visibility.”
Senior Software QA Engineer specializing in manual and automated testing across web, mobile, and embedded
Zhaoyue Yang
Junior Full-Stack Application Developer specializing in internal web portals
“Frontend engineer experienced delivering React + TypeScript dashboards end-to-end, including real-time updates via WebSockets and scalable component architecture. Has improved inherited codebases by building shared component libraries and performance optimizations (lazy loading/memoization), reporting ~20% faster feature delivery, and ships major features with QA rigor and feature-flagged rollouts driven by analytics and user feedback.”
Srinandh Reddy
Mid-Level Software Engineer specializing in backend, cloud, and event-driven systems
“Robotics software engineer focused on backend and distributed systems for real-time robot operations, including sensor ingestion, robot state management, and robot-to-cloud communication. Hands-on with ROS/ROS2 integration and real-time navigation debugging, plus production-grade monitoring, CI/CD, and containerized deployments (Docker/Kubernetes) to improve stability and performance.”
Aniruddha Chakravarty
Junior Software Engineer specializing in cloud infrastructure, observability, and full-stack systems
“Built and productionized a predictive maintenance system (predictEngineLife) estimating Remaining Useful Life for PW4000 turbofan engines from large-scale, noisy telemetry—emphasizing modular pipeline design, deterministic preprocessing, and strong observability/guardrails. Also has hands-on experience diagnosing multi-agent LLM customer-support workflows (schema/state issues, fallback paths, regression tests) and has led developer workshops (GDG Pune) while partnering with sales teams on technical discovery and POCs.”