Vetted Redis Professionals

“Built and deployed a production LLM-powered document Q&A system using a strict RAG pipeline (LangChain-style orchestration + FAISS) to help users query large internal document sets. Demonstrates strong reliability focus through hallucination mitigation, curated offline evaluation with grounding checks, and production monitoring (latency/fallback rates) plus stakeholder alignment via demos and business metrics.”

Balaji Vellaluru

Screened ReferencesStrong rec.

Mid-level Software Engineer specializing in full-stack and computer vision systems

Chicago, IL3y exp

“Built D.O.C.T.O.R, a 0-to-1 anatomy learning platform with 450+ 3D models that reached 6,500+ users, saved $850K versus a costly alternative, and was featured in a University of Illinois Chicago news article. The candidate combines product initiative with hands-on full-stack execution, spanning React/Three.js, databases, auth, analytics, and AI workflow automation side projects.”

“Built and deployed an LLM-powered clinical decision support and risk monitoring platform for mental health at Valuai.io, emphasizing low-latency, evidence-grounded responses and crisis-safe behavior with clinician escalation. Strong production agent-orchestration background (LangChain/CrewAI) plus rigorous evaluation (clinician-in-the-loop + evaluator agent) and large-scale synthetic testing; also applied multi-agent workflows to document verification and fraud detection during an AI internship at Nixacom.”

Iangolana Riantsoa RAMELSON

Screened ReferencesStrong rec.

Mid-level Full-Stack JavaScript Developer specializing in React, Next.js, and TypeScript

Madagascar, Madagascar5y exp

“Frontend engineer who led end-to-end delivery and scaling of an internal HR product (Easy Time), owning architecture decisions (React/TypeScript, Redux Toolkit, Tailwind/shadcn). Experienced building complex dashboard UIs with advanced filters and real-time interactions, collaborating directly with design (Figma) and shipping quickly via incremental delivery and GitLab CI-driven deployments.”

“Backend engineer focused on reliability and production operations, with hands-on experience implementing an outbox pattern to keep database updates and downstream events consistent. They also described diagnosing transaction-related latency under heavy client traffic and using monitoring data to validate performance improvements, showing a pragmatic, systems-oriented approach to scaling integrations.”

“ML/NLP practitioner who has delivered production systems in regulated domains, including a healthcare compliance pipeline using RAG (GPT-4/Claude) plus TF-IDF retrieval that increased document review throughput 4.5x. Also has hands-on experience improving fraud detection data quality via entity resolution (Levenshtein, Dedupe.py) validated with A/B testing, and building scalable, monitored workflows with Airflow, CI/CD, and AWS SageMaker.”

Mehrnaz AkbariQamsari

Screened ReferencesStrong rec.

Senior Frontend Developer specializing in React and TypeScript

Vancouver, BC8y exp

“Frontend engineer who led end-to-end delivery of a Next.js/TypeScript product, including a permission-based React dashboard for managing employee gift card bonuses across large companies. Demonstrated strong architecture and quality practices (multi-reviewer PR workflow), plus performance-focused UX for bulk Excel uploads using Ant Design forms with inline validation and efficient row updates. Known for close product/design collaboration to simplify complex workflows into step-based, user-friendly flows and for shipping quickly with tight QA/Jira-driven iteration.”