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Vetted Data Structures and Algorithms Professionals
Pre-screened and vetted.
Junior Software Engineer specializing in microservices and FinTech payments
Mid-level Backend/Full-Stack Software Engineer specializing in APIs, data systems, and AWS
Mid-level Full-Stack Java Developer specializing in microservices and cloud deployments
Mid-Level Software Engineer specializing in backend APIs, cloud microservices, and LLM integration
Mid-Level Full-Stack Software Engineer specializing in cloud-native web apps and PDF/canvas tooling
Senior Software Engineer specializing in cloud-native microservices and test automation
Mid-level AI Software Engineer specializing in LLMs and healthcare AI
Junior Software Engineer specializing in Python, APIs, and SQL performance tuning
Mid-Level Software Engineer specializing in cloud-native microservices and event-driven systems
Kruti Mehta
Mid-level Software Engineer specializing in backend systems and FinTech analytics
“Engineer with a pragmatic, high-leverage approach to AI-assisted development: uses AI and multi-agent workflows aggressively for implementation and internal tooling, while maintaining strict human oversight for user-facing features. Stands out for treating agents like junior engineers, breaking work into actionable tasks, and combining robust testing, local E2E validation, and feature-flag rollouts to safely ship production code.”
Phat Dang
Junior Software Engineer specializing in full-stack, DevOps, and GenAI
“Robotics software engineer with hands-on hardware integration who built an AI-enabled smart dog door using a Raspberry Pi, camera-based recognition (DeepFace adapted for dogs), and stepper motor control (TB6600/NEMA 17). Experienced in ROS/ROS 2 across perception-to-controls, rigorous bag-driven debugging of SLAM/navigation issues, and deploying robot software with simulation-in-the-loop testing plus Docker/Kubernetes CI/CD.”
Jordan Dunaway
Junior Game Developer specializing in gameplay systems and cross-engine development
“Game-focused QA tester with a developer background who routinely validates builds in player-like environments (including VMs), documents test coverage rigorously, and provides high-signal bug reports with reproducible steps and video evidence. Has partnered closely with designers and engineers on issues like level-loading resource management and prioritizes defects based on player progression and immersion impact; has not shipped a AAA title.”
srisindhu manchikanti
Mid-level Machine Learning Engineer specializing in multimodal and time-series AI systems
“Backend engineer who rebuilt and refactored high-traffic systems at Phenom using Java/Spring Boot/Play and also designs Python/FastAPI services. Focused on measurable reliability and performance gains through DB/query optimization, async processing, and strong observability, with disciplined rollout practices (feature flags, parallel runs, rollback) and security patterns including token auth and row-level security.”
Sree Sai Preetham Nandamuri
Mid-level Data Scientist specializing in Generative AI and LLMOps
“Built a production-grade, semi-automated document recognition and classification system for large volumes of scanned PDFs, starting from little/no labeled data and handling highly variable scan quality. Deployed on AWS using SageMaker + Docker and orchestrated on EKS with a microservices design that scales CPU-heavy OCR separately from GPU inference, with strong reliability controls (validation, fallbacks, retries, readiness probes).”