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Vetted Redis Professionals
Pre-screened and vetted.
Victor Iagnov
Executive engineering leader specializing in SaaS platforms and AI-enabled architecture
“Engineering executive and former CTO of 3DWORLD who helped scale the business through roughly 22x revenue growth and 15x customer growth over four years while building a 20+ remote cross-functional org. Unusually for a senior leader, they remain hands-on in architecture and production debugging, with recent depth in AI-powered support systems, retrieval-based knowledge workflows, and scalable full-stack platform design.”
Abe Schor
Senior Full-Stack Engineer specializing in web platforms and scalable backend systems
“Backend-focused engineer with deep experience in logistics platforms, including a truck location-tracking system processing roughly 500K requests per day and a dispatcher task platform adopted by a major client. Also has hands-on applied AI experience using OpenAI to parse delivery PDFs into structured trip data, improving operational workflows through automation.”
Baljinnyam Puntsagnorov
Mid-level Full-Stack AI Engineer specializing in agentic AI and FinTech systems
“Full-stack and AI systems engineer with a strong track record in high-stakes workflow automation and payments reliability. They’ve built production LLM systems with retrieval, validation, evals, and human-in-the-loop controls, while also shipping payment infrastructure that eliminated duplicate payouts/charges and supported 8,000+ daily transactions at 99.95% uptime.”
Maniya Kohli
Mid-level Software Engineer specializing in AI agents, marketplaces, and backend systems
“Founding engineer at an early-stage agent marketplace who built the core job lifecycle, live run viewer, and LLM-based verification/settlement flow that gated escrow release. Also worked on a multi-agent diagnostic system using a blackboard architecture with specialized models, structured outputs, and human-in-the-loop review—showing unusual depth in both product engineering and applied AI systems.”
“Full-stack engineer with experience spanning enterprise document platforms and AI-powered clinical education products. Built secure TypeScript/Next.js features end to end, designed multi-model LLM workflows with validation and monitoring in production, and modernized a legacy PHP monolith through blue-green deployment and incremental migration without outages.”
Rafael Martinez
Director-level Applied AI & Data Analytics Engineer specializing in real-time decisioning systems
“Built and shipped a production AI/LLM agent-based, event-driven credit underwriting/decisioning workflow that automated document understanding, retrieval, risk scoring, and compliance checks—cutting turnaround from ~90 days to ~5 minutes while boosting throughput 200x+ and approvals ~50%. Experienced with Airflow/Prefect orchestration, Redis/RabbitMQ queues, rigorous eval/monitoring, and close collaboration with non-technical underwriting teams.”
Jason Chen
Mid-Level Backend Software Engineer specializing in distributed financial systems
“Full-stack engineer with fintech payments experience who shipped an end-to-end guest invoice payment flow emphasizing reliability under retries/failures (idempotency via DynamoDB, async processing with Lambda/EventBridge/SQS + DLQ). Also built a FastAPI backend with Cognito/JWT + scoped guest tokens and a polished React/TypeScript checkout UX, and has performance-focused Postgres/Redis design experience for flash-sale e-commerce workloads.”
Radhika Mangroliya
Senior Data Scientist / AI Engineer specializing in LLMs, RAG, and production ML
“Data science professional who has built a production RAG-based LLM question-answering system ("Flash Query") to deliver fast, accurate answers over large document collections, focusing on retrieval quality and grounded responses. Also collaborates with non-technical retail/jewelry stakeholders to turn business questions into predictive models and dashboards for decision-making.”
Sriram Krishna
Mid-Level Software Engineer specializing in AI/ML and cloud-native platforms
“Backend/AI engineer who has built production LLM orchestration and agentic workflow systems in Python/FastAPI on Kubernetes across AWS/Azure. Demonstrated strong reliability engineering by debugging a real-world memory retention issue that caused latency spikes/timeouts, and strong data/performance chops with a PostgreSQL optimization that cut query latency from ~1.2s to ~15ms. Targets roles building scalable, guardrailed AI-driven workflow automation with robust observability and human-in-the-loop controls.”
Manas Agarwal
Junior Full-Stack Software Engineer specializing in Python APIs, React, and cloud AI integrations
“Customer-facing software engineer who builds and deploys practical AI/RAG solutions (e.g., an AI assistant for searching billing PDFs) by deeply understanding support workflows and iterating with users. Demonstrates strong production instincts—quickly stabilizing peak-traffic API timeouts with caching/background jobs, then implementing durable fixes with proper monitoring and maintainable code practices.”
Abhinav Malkoochi
Junior Full-Stack Engineer specializing in AI and automation
“Startup-focused builder who created and iterated an MVP for Enky, a two-sided marketplace connecting music artists and creators, informed by hundreds of customer interviews. Implemented CI/CD, monitoring (PostHog/Sentry), and a complex payout pipeline involving scraping social platforms and routing escrow payments via Stripe, and has a track record of quickly debugging production issues (e.g., iOS-specific OAuth cookie failures).”
Annie Suzan Edwin Arokiaraj Caroline
Junior Full-Stack Software Engineer specializing in distributed systems and data pipelines
“Backend engineer with hands-on experience building distributed data and API platforms (Kafka + Neo4j on Kubernetes), including processing 3M+ NYC taxi trip records and achieving sub-second graph analytics queries. Strong focus on reliability and performance in Python/FastAPI systems—async refactors, caching, timeouts/retries, feature-flagged rollouts, and JWT/RBAC security for production services.”
Samee Rauf
Junior AI/Full-Stack Software Engineer specializing in ad automation and LLM systems
“Full-stack engineer with deep ad-tech/marketing automation experience, building production tools that reduce programmatic ad waste and improve search ads performance. Shipped and operated AWS-deployed, Dockerized systems with Postgres/Redis and strong observability (Datadog/OpenTelemetry), and delivered measurable impact (25k campaigns processed, 50k sites negated, 3–4 hours/week saved). Built scalable abstractions for multi-platform ad integrations, enabling rapid onboarding of additional clients.”
Ofek Shaltiel
Mid-Level Full-Stack Software Engineer specializing in AI-enabled web platforms
“Backend/AI engineer in construction tech (HyperWater AI) who delivered major production performance wins (analytics API from ~1 hour to 0.5s) and shipped LLM features for parsing subcontractor manifests into CSI divisions with human-in-the-loop review. Also built a freelance agentic document-verification system using OCR + RAG over pgvector with robust retry/escalation logic and user feedback loops.”
Benjamin Agyekum
Senior Full-Stack Software Engineer specializing in AI-powered web and mobile applications
“Backend/full-stack TypeScript engineer who has owned end-to-end, production-oriented systems including an AI property management platform (NestJS/Postgres/WebSockets on Google Cloud using Gemini Vision) and an AI logistics platform (Node/Redis queues/Postgres) focused on low-latency, correctness, and observability. Also designed a public GraphQL API and TypeScript SDK for education partners at StudyFetch, citing 40+ partner integrations in the first quarter.”
Sanskar Pandey
Junior Full-Stack Java Developer specializing in FinTech microservices
“Full-stack engineer with production experience building a real-time order tracking system using React + Firebase/Firestore, emphasizing audit-friendly data modeling, state-machine-based status transitions, and strong post-launch ownership (performance, security rules, reliability). Demonstrated measurable frontend performance gains by isolating real-time updates to dynamic components and applying memoization, plus backend reliability patterns (idempotency, retries) and SQL query/index optimization validated with EXPLAIN ANALYZE.”
Raahul Krishna Durairaju
Junior Software Engineer specializing in distributed systems and ML platforms
“Built and deployed real-world systems end-to-end across security and healthcare contexts: led a 3-person team delivering a university vehicle tracking system with 30% cost savings and 1-year post-launch monitoring. Also implemented a healthcare RAG chatbot with adaptive query routing that cut LLM costs by 40% while maintaining answer accuracy, and has experience debugging non-deterministic LLM behavior in DevOps pipeline automation.”
Fasres Bakr
Mid-level Game Developer specializing in multiplayer and backend systems
“Lead developer on PoolLiveTourMax who owned core gameplay, physics, backend services, and end-to-end multiplayer architecture. Brings a strong blend of Unity gameplay engineering and backend/networking expertise, including server-authoritative netcode, dedicated server deployment, and performance optimization for memory, FPS, and latency.”
Abhiram Mullapudi
Mid-level ML Engineer specializing in real-time inference and anomaly detection
“Built DocMind, an end-to-end PDF chat assistant using React/TypeScript, FastAPI, and Postgres/pgvector, showing full-stack ownership plus practical performance tuning and AWS debugging skills. At Social Tech Labs, improved onboarding, shipped lean under ambiguity, and created a reusable low-latency feature serving layer that reduced duplicated infrastructure work across models.”
Ryan Boines
Senior AI/ML Engineer specializing in LLMs, AI agents, and cloud-native backend systems
“Built and owned a production-grade RAG/LLM support automation system on AWS using GPT-4, Pinecone, FastAPI, and Redis, taking it from initial experimentation through deployment, monitoring, and iterative improvement. Their work reduced support workload and ticket volume by about 40%, improved CSAT and self-service resolution, and they also created shared Python/LLM infrastructure that accelerated other teams' delivery from weeks to days.”
Anuj More
Mid Full-Stack Engineer specializing in web platforms, geospatial apps, and AI
“Software developer who actively integrates AI coding tools like ClaudeCode, Codex, and ChatGPT into day-to-day development for brainstorming, planning, and reducing boilerplate work. They show thoughtful awareness of agent limitations such as hallucinations and use markdown-based project context files to improve output quality.”
Nikhil S
Senior DevOps/Site Reliability Engineer specializing in multi-cloud infrastructure
“Candidate is actively using AI-assisted development tools, including MCP server integrations with Copilot, to generate boilerplate test scripts, validate code standards, and handle package updates. They also have hands-on experience choosing different agents based on task requirements and serving as an admin for AI tool access.”
Meghkumar Patel
Intern-level Software Engineer specializing in backend, cloud, and AI systems
“MS Software Engineering candidate at SJSU with hands-on full-stack and applied AI experience, including building DataTrust, a secure enterprise RAG assistant with ABAC-style access control, audit logging, and grounded-answer evaluation. Also built CareerPilot, an AI interview-prep product that turns LLM and speech-to-text outputs into structured, user-friendly feedback for students and job seekers.”