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Vetted Performance Optimization Professionals
Pre-screened and vetted.
Senior Full-Stack Platform Engineer specializing in scalable cloud systems and AI integrations
Mid-Level Full-Stack Software Engineer specializing in Python/Java microservices and cloud
Staff Software Engineer specializing in cloud-native backend and search systems
Mid-level Machine Learning Engineer specializing in search, retrieval, and generative AI
Staff Software Engineer specializing in commerce, checkout, and payments platforms
Engineering leader specializing in data platforms and distributed systems
Principal Software Engineer specializing in systems, compilers, and networking
Senior Software Engineer specializing in healthcare imaging and FinTech systems
Mid-level Software Engineer specializing in Windows search and AI features
Director-level Product-Led CTO specializing in AI/MarTech, retail media, and omnichannel platforms
Mid-level Software Engineer specializing in Python, distributed systems, and AI backend services
Senior Full-Stack Engineer specializing in Unity/C# and AI-driven VR/mobile healthcare systems
Senior Software Engineer specializing in distributed systems and data-intensive platforms
Senior Software Engineer specializing in backend, distributed systems, and computer vision
Staff Software Engineer specializing in Healthcare SaaS and real-time systems
Senior Software Engineer specializing in AI backend platforms and FinTech systems
Kanaad Deshpande
Intern Software Engineer specializing in distributed systems and cloud infrastructure
“Built and operated a production warehouse metadata collection platform at Sigma Computing, integrating Go/gRPC services with a TypeScript backend and MySQL, with strong emphasis on idempotency, retries, bounded-concurrency job queues, and Datadog-based observability. Also created Kurral (kurral.com), an AI agent runtime security and observability/governance SDK/proxy concept, iterating via pilot-customer feedback and market research; targeting founding engineer roles with $180–200k base and ~2–5% equity.”
Mazhar Haq
Senior AWS Cloud Architect and Technical Leader specializing in security, migrations, and cost governance
“Infrastructure/platform engineer with strong AWS and hybrid on-prem networking depth, spanning Kubernetes platform engineering (IaC, autoscaling, GitOps, observability) and large-scale VMware operations. Managed thousands of VMs across 56 US military bases/airports and has resolved real production hybrid incidents involving BGP/Direct Connect route advertisement and prefix-limit constraints.”
Akshat Shah
Entry-level Software Engineer specializing in full-stack and AI systems
“Frontend-leaning full-stack engineer who described owning an artist search and detail experience across UI, backend integrations, and data modeling. They show practical strength in scalable React architecture, TypeScript safety, and performance tuning, with a product-minded approach to shipping 0→1 features quickly and iterating after launch.”
SOURABH MISHRA
Senior Software Engineer specializing in FinTech and distributed systems
“Backend/AI engineer who has built a rule-service platform on AWS and evolved it into an agentic RAG system using LangChain, ReAct, tool calling, and LLM-as-judge review. Notable for combining heavy AI-assisted development with production safeguards like manual CR, CloudWatch monitoring, fallback strategies, benchmark testing, and user-feedback-driven model improvement.”
Sai supriya
Mid-level AI/ML Engineer specializing in LLM alignment, safety, and scalable inference
“Built and productionized an AWS-hosted, Kubernetes-orchestrated RAG assistant that enables natural-language Q&A over internal document repositories with grounded answers and citations. Demonstrates strong applied LLM engineering: hallucination mitigation, hybrid retrieval + re-ranking, and rigorous evaluation via benchmarks and A/B testing, plus real-world scaling of compute-heavy inference with dynamic batching and monitoring.”