Vetted Caching Professionals

Shrinivas Bhusannavar

Screened

Mid-level AI Engineer specializing in agentic LLM systems and RAG platforms

San Jose, CA5y exp

“Built and shipped Serrano AI, a multi-tenant SaaS conversational AI platform that automates Odoo ERP workflows and lets ops/finance/supply-chain teams query ERP data in natural language. Implemented a multi-agent architecture (LangChain/LangGraph/CrewAI) with hybrid RAG over ERP schemas, deployed on Heroku/Vercel with production observability, cutting reporting time by ~80% while addressing hallucinations, latency, and schema complexity.”

Supriya Thorat

Screened

Mid-level Software Engineer specializing in full-stack web and cloud automation

San Diego, CA3y exp

“Full-stack TypeScript/Angular/Node engineer who owned a production healthcare application for a pharmaceutical client, supporting 100K+ monthly users across 10+ countries. Strong focus on maintainability and quality (reusable localized component library, ~90% unit test coverage, SonarQube in CI/CD) plus performance work (reported 15% client-side latency reduction and up to 50% backend latency reduction) while migrating legacy mobile code with strict backward compatibility.”

Xin Li

Screened

Staff Software Engineer specializing in distributed systems and high-concurrency APIs

Santa Clara, CA17y exp

“Full-stack engineer in an insurance + telematics org who built a 0→1 multi-agent, AI-driven mobile regression execution system integrating Jira and n8n, emphasizing determinism (schema-validated outputs), traceability (state-machine style step archives), and scalable device scheduling. Also designed an event-driven microservices architecture using Kafka with standardized API/event contracts and has hands-on incident response experience improving resilience via rate limiting, circuit breaking, caching, and idempotency.”

Ajibade Quwiyu

Screened

Mid-level XR Developer specializing in VR/AR and Unity game development

Lagos, Nigeria7y exp

“Unity VR/AR developer with industrial training simulation experience (heavy machinery, electrical panel, arc welding) who improved user completion and retention by shipping a context-aware AI instructor. Uses Unity Analytics and in-game feedback to pinpoint drop-offs and drive measurable gains (e.g., 30%→75% completion; 60% drop-off fixed to reach 85%). Has also built multiplayer collaborative training prototypes with Photon PUN2 and strong Git/Unity workflow practices to reduce scene conflicts and technical debt.”

“Gameplay engineer with hands-on ownership of social/multiplayer Unity systems, including a visual scripting tool that unlocked user-generated worlds and expanded content from 3 internal maps to dozens of player-created experiences. Has shipped across VR and mobile, worked with Photon PUN networking, and is also experimenting with LLM-powered product features via a Go/AWS backend.”

Almas Fathimah

Screened

Senior AI Engineer specializing in Generative AI and ML platforms

USA7y exp

“Built and owned a production RAG-based conversational AI system at Entera for real estate analysis, taking it from experimentation through AWS deployment, monitoring, and iterative improvement. Demonstrates strong practical judgment in retrieval design, LLM safety, and scalable Python service architecture, with measurable impact including 30-40% reduction in manual analysis time and roughly 30% better response accuracy.”

“Frontend-leaning full-stack engineer who has owned complex dashboard modernization work, including migrating legacy React code to a standardized internal component library and improving performance at scale. They also demonstrate strong TypeScript discipline and have shipped cross-stack admin features spanning schema changes, APIs, reporting updates, UI flows, feature-flagged rollout, and production monitoring.”

Raj Shrinivasan

Screened

Principal AI Engineer specializing in agentic systems and cloud-native platforms

Cleveland, OH23y exp

“Built a production RAG-powered analytics copilot at Aya Healthcare for operations leaders and analysts on a large healthcare staffing platform processing over a billion telemetry records annually. Stands out for strong production-minded agent engineering: deterministic orchestration, grounding-first design, deep observability, and data-driven workflow changes such as confidence-based human review for a PR review agent.”

Bhanu Akepogu

Screened

Mid Software Engineer specializing in backend, full-stack, and AI systems

USA3y exp

“Full-stack engineer with 3+ years of backend and frontend experience who has built production AI products for enterprise document and policy workflows. Stands out for owning end-to-end systems that combine React, FastAPI, RAG, vector search, and AWS deployment, with measurable impact including 65% less manual review time and significantly faster knowledge-query resolution.”

“Front-end engineer focused on sophisticated enterprise analytics dashboards for business and operations users. They combine strong React/TypeScript architecture with deep browser-performance knowledge and practical UX improvements for demanding expert users, especially in data-heavy applications with large tables, filtering, and role-based workflows.”

“Frontend engineer with experience building data-intensive, near real-time React/TypeScript applications in credit reporting and logistics tracking. Stands out for performance-focused architecture across dashboards and map-based products, including large dataset optimization, profiling, and Mapbox visualizations with live asset tracking.”