Vetted Google Gemini Professionals

“GenAI engineer who has deployed production LLM/RAG chatbots for internal document search, focusing on reliability (hallucination reduction via prompt guardrails + retrieval filtering) and performance (latency improvements via caching). Experienced with LangChain/LangGraph orchestration for multi-step agent workflows and iterates using monitoring/logs and benchmark-driven evaluation while partnering closely with product and business teams.”

“Software engineer with experience across data engineering and backend/platform work: owned a Databricks/PySpark real-time pipeline powering customer dashboards with a 15-minute SLA, and helped modernize an investor web app from JSP to React/TypeScript with API + SQL/materialized-view performance improvements. Also contributed to breaking a Java monolith into microservices (Redis + gRPC on AWS EKS) and built an EC2-deployed Play Store/App Store crawler that reduced third-party data costs.”

“Built a college AI chatbot during a master’s program, owning the full Python/Flask backend plus Google Gemini integration and a Postgres persistence layer (course info + conversation history), including caching/performance tuning. Also deployed and migrated ETL/ELT workloads from AWS Lambda into Kubernetes/EKS with GitHub Actions-based GitOps CI/CD, IRSA permissions, and Secrets Manager/S3/Postgres connectivity.”

“Built and shipped production RAG-based LLM agents automating multi-step document query workflows, emphasizing reliability via monitoring, retries, structured exception handling, and fallback retrieval (alternative embeddings/keyword search). Demonstrated measurable gains (18% latency improvement, 25% retrieval efficiency, 12% precision) and has experience integrating agents with messy tax and transaction data at RSM using validation/cleaning and idempotent design.”

Tara Worrell

Screened

Senior Software Engineer specializing in backend systems, AI/LLM integration, and cloud infrastructure

Brooklyn, NY6y exp

“Backend engineer with experience in highly regulated and high-stakes systems, including an airline crew messaging platform requiring near-zero-error real-time operations and a HIPAA-compliant mental health application built from an early-stage concept. They also show strong operational maturity, having owned a GoDaddy production incident through resolution and then led deployment pipeline improvements that reduced build failures by 40% and doubled deployment frequency.”

varunkumar jukanti

Screened

Senior Front-End Engineer specializing in enterprise UI architecture for FinTech

Jersey City, NJ7y exp

“Senior frontend engineer with 6 years of experience building enterprise-grade Angular/React applications in regulated industries, especially banking. Most notably worked on BLCM at Tasha Bank, a compliance platform that replaced fragmented Word/Excel SharePoint processes with a unified browser-based workflow for analysts and managers, and drove measurable performance and usability gains.”

“Backend engineer who architected and owned a mission-critical outage management/decision-support platform, replacing a legacy system that failed under load. Emphasizes auditability, deterministic validation, and server-side concurrency controls (section locking, scoped autosaves), plus redundancy/load balancing and monitoring to keep the system stable for 24/7 operations handling 1,500+ weekly outage events.”

“Software engineer who has built both internal developer productivity tooling (a backend API supporting repeatable UI test data/mocking for Dapper) and a personal Go-based LLM workout coach using Gemini and structured logs/config. Emphasizes maintainability and reliability via scalable UI component tagging (Telerik), audit logs, and reproducible Dockerized environments; targeting $160k base.”

“Full-stack engineer from HPE GreenLake who built and owned a cloud/hypervisor resource management experience end-to-end, including Postgres modeling, typed REST/GraphQL integrations, and resilient provisioning workflows. Drove a centralized Redux-based UI architecture that boosted dev velocity by 50% across 30+ teams, and continued post-launch ownership with DR integrations (AWS/GCP/Azure) plus expanded Cypress testing and observability.”

“Built a production, real-time clinical documentation system at HCA that converts doctor–patient conversations into structured clinical summaries using speech-to-text, LLM summarization, and RAG. Demonstrated measurable gains from medical-domain fine-tuning (clinical concept recall +18%, ROUGE-L 0.62 to 0.74) while meeting HIPAA constraints via PHI anonymization and encryption, and deployed via Docker/FastAPI with CI/CD and monitoring.”

“AI-native software developer who has built a highly structured workflow around Claude, Cursor, design agents, and SpecKit to plan, design, implement, and test features end to end. They also use multi-agent setups with sub-agents and git worktrees, and have experience acting as a tech lead for AI agents by assigning roles, guiding execution, and reviewing outputs.”

“Product designer-developer leading the modernization of One Shot Records from a legacy PHP storefront to a React/Next.js marketplace experience. Particularly interesting for combining UX, frontend engineering, and product strategy—he not only redesigned the mobile-heavy experience, but also proposed a shift from eBay-style sales to a barter-based marketplace model backed by AI validation and a multi-layer API/data architecture.”

Briana Lonappan

Screened

Entry-level product and project management candidate specializing in operations and user insights

Remote2y exp

“Early-career candidate with a blend of product research and project coordination experience from a BeReal Product Innovation Externship and Aspire Skill Development internship. They bring strong analytical and organizational skills, including user interviews, competitive benchmarking, prototyping, and stakeholder tracking, with a demonstrated contribution to reducing missed deadlines by 20%.”

“Backend-leaning full-stack engineer who has shipped both a SaaS analytics/A-B testing platform and an AI-driven fraud monitoring product in production. Stands out for combining React/TypeScript frontend work with Python/Java backend systems, event-driven architecture, and practical LLM integration grounded by validation and human analyst feedback, with measurable impact on engagement, performance, fraud accuracy, and false positives.”

Yujun Liu

Screened

Junior AI software engineer specializing in agentic workflows and cloud platforms

Cambridge, MA3y exp

“AI/full-stack builder who has owned end-to-end LLM features in both creative tooling and education workflows. Built a multi-agent film-production workspace for Backlot and an automated ingestion pipeline at iOffer.AI that cut counselor manual entry by 70%, with hands-on depth in orchestration, validation, monitoring, and human-in-the-loop system design.”

Robert Gardunia

Screened

Staff Full-Stack Engineer specializing in AI systems architecture

Gig Harbor, WA20y exp

“Veteran developer with 30 years of experience building unusually ambitious AI and full-stack systems, including a civic project tracker for the city of Casa Grande and multiple patent-pending AI architectures. Particularly strong in multi-LLM orchestration, agentic error-correction, and lightweight 3D/avatar experiences, with a track record of turning ambiguous ideas into working production prototypes quickly.”

“At CVS Health, the candidate productionized a RAG-based LLM solution in a regulated healthcare setting, emphasizing reliable data pipelines, LoRA fine-tuning, monitoring, safety guardrails, and A/B testing. They have hands-on experience troubleshooting real-time RAG failures (e.g., chunking/embedding issues) and regularly lead developer-focused demos/workshops while translating technical architecture into business value for stakeholders.”

Deandra House

Screened

Director-level Talent Acquisition leader specializing in global recruiting operations

Plano, Texas19y exp

“Talent/Recruiting Operations leader who has managed 6–20 person TA Ops teams and led a global "Recruiting 2.0" transformation standardizing intake and structured interviews, automating screening/scheduling, and building Power BI funnel dashboards. Delivered measurable impact including ~30% time-to-fill reduction and improved candidate/hiring manager experience, and has hands-on systems implementation experience across Workday Recruiting, SuccessFactors, Eightfold, DocuSign, and background check integrations.”

Laasya Muktevi

Screened

Intern Machine Learning Engineer specializing in forecasting, NLP, and RAG systems

San Jose, CA5y exp

“Intern who built and deployed a production LLM-powered contract analysis system for finance teams: Azure Document Intelligence for text/table extraction plus Gemini prompting to surface key terms and risks via an async API and simple UI. Emphasizes reliability in production with fallbacks, guardrails against hallucinations, and operational concerns like latency/cost/versioning, delivering summaries in under 30 seconds instead of hours.”

Krishna Madani

Screened

Mid-Level Full-Stack Software Developer specializing in cloud-native web applications

New York City, NY4y exp

“Capgemini engineer with hands-on ownership of production TypeScript backend integrations and loyalty-platform modernization. Built AWS event-driven microservices (SNS/SQS/Lambda) with GraphQL vendor calls and DynamoDB persistence, emphasizing reliability patterns like retries and idempotency; reports ~25% response-time improvement after migrating/optimizing services and workflows.”

Praveen LAKSHMAN

Screened

Mid-level Software Engineer specializing in backend systems and workflow automation

Birmingham, AL4y exp

“Early-career AI engineer currently pursuing a Master's, with hands-on experience building and improving RAG pipelines using LangChain. They stand out for moving beyond naive retrieval into multi-step retrieval and feedback-loop designs to reduce hallucinations, and are now exploring multi-agent systems with distinct retrieval, coding, and validation roles.”

“Frontend/product engineer with strong Angular and TypeScript experience who has owned internal products like a configuration-driven reporting platform and bulk-operation workflows end to end. Stands out for combining product ownership, backend/API collaboration, and AI-powered analytics work, including a Gemini-based sentiment dashboard that helps the business mine user feedback for retention and subscription insights.”

“Product leader with experience at Quest Diagnostics and Citeline, spanning healthcare, regulatory, and AI-enabled products. Particularly strong in rebuilding complex platforms, designing human-in-the-loop AI workflows, and making pragmatic product decisions in high-trust, real-world environments such as offline clinical mobile apps and regulated document-import systems.”

“Product-minded full-stack engineer at a B2B startup who ships high-stakes customer-facing features fast: delivered a Spanish AI support agent in 2 weeks by benchmarking LLMs and using native Spanish system prompts, reaching 90% resolution. Built the company’s first monetization system (hybrid subscription + usage) with Stripe/Firebase, emphasizing secure JWT-based flows and idempotent webhooks, and led a microservices decoupling effort that cut developer onboarding time by 50%.”