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Vetted Redis Professionals
Pre-screened and vetted.
Senior Full-Stack Engineer specializing in Python, AI, and LLM-powered platforms
Senior Full-Stack Engineer specializing in Python, React, and cloud-native web platforms
Senior Full-Stack Engineer specializing in Python, cloud-native SaaS, and data pipelines
Senior Full-Stack/Backend Engineer specializing in distributed systems and cloud-native platforms
Senior Full-Stack Engineer specializing in Python, cloud, and scalable web platforms
Senior Full-Stack Python Engineer specializing in AI/LLM-powered web applications
Senior Full-Stack Software Engineer specializing in AI/LLM-powered web applications
Senior Full-Stack Developer specializing in automation, IoT, and integrations
Senior Python Full-Stack Engineer specializing in cloud-native scalable systems
Senior Backend/Full-Stack Engineer specializing in cloud-native APIs and data platforms
Director-level Engineering Leader specializing in scalable cloud platforms and real-time AI systems
Senior Full-Stack Developer specializing in MERN and scalable web applications
Senior Full-Stack Engineer specializing in Python, React, and cloud-native AI features
Executive FinTech Engineering Leader specializing in core banking, payments infrastructure, and AI
Affan Ahmed
Senior Full-Stack & Machine Learning Engineer specializing in scalable SaaS and cloud AI
“Frontend engineer who led an enterprise self-serve analytics dashboard end-to-end using a micro-frontend React/TypeScript architecture with strong integration discipline (contracts, CI gates, ADRs). Demonstrated measurable performance wins (35% faster LCP) through code splitting, lazy loading, and tighter Redux subscriptions, and uses feature flags plus automated E2E coverage for controlled rollouts.”
Rukmini Pisipati
Junior AI/ML Engineer specializing in LLM automation and NLP
“Built and shipped a production LLM hallucination detection and monitoring pipeline using semantic-level entropy (embedding-clustered multi-generation variance) to flag unreliable outputs in downstream automation. Implemented a scalable async architecture (FastAPI + Docker + Redis/Celery) with strong observability (structured logs + PostgreSQL) and developed evaluation loops combining controlled prompts and human review; also partnered with non-technical stakeholders on AI-driven form validation/document processing.”
Tirth Shah
Mid-level AI/ML Engineer specializing in anomaly detection, data tooling, and cloud-native systems
“Backend/platform engineer who built an LLM-driven QA automation system (“mockmouse”) using a Flask orchestration microservice, Socket.IO real-time updates, Redis caching, and strict Pydantic schemas to turn prompts into reliable action graphs and automated browser tests. Has hands-on Kubernetes delivery experience (Docker/Helm/Jenkins) and has supported large migration programs, validating ETL cutovers with 1M+ synthetic records and rigorous output comparisons; also built event-driven monitoring/anomaly detection streaming into Grafana.”