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Vetted Distributed Systems Professionals
Pre-screened and vetted.
Mid-level Software Development Engineer specializing in backend systems and ML platforms
Executive Engineering Leader specializing in AI-native healthcare platforms
Mid-level Software Engineer specializing in cloud infrastructure and distributed systems
Senior Software Engineer specializing in distributed systems and cloud-native microservices
Mid-Level Software Engineer specializing in cloud-native backend and distributed systems
Mid-level Software Engineer specializing in backend systems and FinTech
Senior Full-Stack Engineer specializing in cloud-native web and mobile platforms
Senior Software Engineer specializing in backend systems and FinTech APIs
Senior Software Engineer specializing in scalable backend and distributed systems
Senior Full-Stack Engineer specializing in data-driven SaaS and web platforms
Staff Software Engineer specializing in backend platforms and FinTech/SaaS systems
Mid-Level Software Development Engineer specializing in AWS edge AI and generative AI apps
Executive Engineering Leader specializing in cloud platforms, infrastructure, and SRE
Principal Software Engineer specializing in distributed systems and cloud microservices
Charvi Gupta
Mid-level Software Engineer specializing in robotics autonomy and safety-critical systems
“Robotics software engineer working on an electric seaglider autonomy/perception stack on NVIDIA Orin, tackling multi-modal operating constraints (5–10 knots float mode up to ~100 knots flight). Previously built a ROS-based multi-robot search-and-rescue system, including navigation integrated with SLAM/task allocation/perception, and improved real-world performance by switching to a 2D planner with a velocity-obstacles controller to handle slip and timing uncertainty.”
Vignesh Shanmugasundaram
Junior Software Engineer specializing in full-stack development and applied ML
“Full-stack engineer with experience at Zoho and Amazon who has owned production systems end-to-end, including a monolith-to-microservices migration using Kafka and Cassandra that improved search latency ~25% and increased throughput without data loss. Also built a hackathon project (Buildwise) into a sold product for a construction company (AI-driven document compliance checks) and shipped an IoT-based parking availability MVP in 3 weeks.”
Poorna Pedapudi
Mid-Level Software Engineer specializing in distributed backend systems and cloud-native microservices
“Software engineer focused on data platforms and applied LLM systems: built an internal data quality monitoring layer to catch silent data drift and iterated post-launch after finding ~30% false-positive alerts, reducing noise via dynamic baselines and improved structured logging. Also shipped a production RAG-based internal knowledge assistant over Jira/Confluence with citations, confidence-based fallbacks, and nightly automated evals to prevent regressions.”
Jiacheng Yin
Intern software engineer specializing in AI, backend systems, and cloud infrastructure
“Backend/AI systems engineer who has shipped production LLM agents focused on prompt engineering, code generation, and incident-response automation. Stands out for combining strong agent orchestration and reliability engineering with measurable business impact, including 60-70% cost reductions, 45% lower monthly LLM spend, and a 5x increase in developer iteration speed.”
Shalin Bhavsar
Mid-level Software Engineer specializing in cloud backend and distributed systems
“Built a production GenAI support agent at Amazon for FBA on-call operations, using Bedrock, Lambda, RAG, and confidence-based human fallback to safely automate ticket triage. The system materially reduced ticket volume and manual workload while improving MTTR, showing strong depth in reliable LLM agent architecture under real operational constraints.”