Vetted State Management Professionals

“Senior product leader who helped transform Submittable from a single-program grant tool into a multi-program impact platform, driving ARR from $20M to $70M+ while improving retention and margins. Particularly strong in enterprise platform strategy and human-centered AI, with a clear philosophy of using AI to augment expert judgment rather than replace it.”

DuyAnh Nguyen

Screened

Mid-level Frontend Engineer specializing in FinTech web applications

Los Angeles, CA4y exp

“Frontend engineer with enterprise experience at Silicon Valley Bank / First Citizens Bank, focused on complex React and TypeScript interfaces. Has built multi-application workflow switching, optimized production rendering performance with profiling tools, and delivered map-based dashboards handling large datasets while keeping UX responsive and maintainable.”

Isha math

Screened

Intern-level AI Solutions Engineer specializing in cloud data pipelines and LLM workflows

Remote1y exp

“Front-end/full-stack engineer with hands-on ownership of a React/Next.js interface for a digital archival platform, focused on making complex metadata and retrieval workflows usable for non-technical stakeholders. Stands out for combining UX clarity, accessibility, and browser-level performance optimization, with measurable impact including ~30% workflow efficiency gains and 20% fewer user errors.”

Mihir Pednekar

Screened

Junior Software Engineer specializing in backend systems and communication infrastructure

Mumbai, India2y exp

“Master’s-level software engineer with hands-on full-stack experience building a React-based task management product and research-driven automation projects in freight logistics. Particularly interesting for roles blending product engineering, data workflows, and early AI/automation systems, with evidence of turning complex analytical outputs into usable visual reports for non-technical audiences.”

“Backend/data engineer with production experience building real-time sensor telemetry platforms: FastAPI + PostgreSQL services with strong observability, plus AWS serverless and Glue-based ETL into Redshift. Has modernized legacy SAS pipelines into Python microservices and delivered measurable performance wins (Postgres query latency cut to <1 minute and ~60% DB CPU reduction) while owning incident response and reliability improvements.”

“AI Automation Engineer at BalancedTrust who single-handedly shipped production LLM features for FinTech compliance: a policy gap-analysis pipeline (SOC 2/GDPR) and a RAG-based regulatory chatbot. Deeply focused on reliability in high-stakes legal/compliance settings, with strong production engineering (edge functions, parallelized batching to cut latency, structured JSON outputs, guardrails, and monitoring) and close collaboration with non-technical compliance experts.”

“Frontend engineer focused on scalable React/Redux + TypeScript applications, with hands-on experience designing reusable component architectures, improving performance (reducing re-renders, streaming API calls), and hardening maintainability through standardized styling and unit tests. Has shipped deadline-driven dashboard features (e.g., filters) using Agile practices and Jira to manage QA and client feedback.”

“Backend engineer who built an AI RAG quoting system for the fastener industry, reducing quote turnaround from weeks to ~30 minutes and raising retrieval accuracy to ~90% by solving a semantic-collision issue with a parent-document retrieval design. Strong in production AWS integrations (Cognito auth, S3 pre-signed uploads), performance optimization (multithreading/out-of-core), and real-time streaming (Kafka/Spark Kappa architecture achieving sub-second latency), plus Kubernetes logging and GitHub Actions CI/CD to ECR.”

“Built and shipped an AI-driven interview evaluation pipeline at SeekOut that automated recruiter screening via a multi-stage LLM agent workflow (.NET backend, RabbitMQ orchestration, Python workers). Emphasizes production-grade reliability (idempotency, retries, strict JSON/schema validation), strong observability with OpenTelemetry, and measurable efficiency gains including ~40% reduction in token usage/cost.”

Estelle Marcella Bouopda Meba

Screened

Mid-level Full-Stack Developer specializing in React and RESTful APIs

Gatineau, Canada4y exp

“Frontend React/TypeScript engineer who built a text-to-speech feature from scratch end-to-end, including frontend-backend communication and testing. Experienced improving existing React codebases through refactoring into reusable components, custom hooks, and performance optimizations, and collaborates closely with product/design using Figma, design systems, and early previews via staging/Storybook.”

Jarin Tasnim

Screened

Staff/Lead Software Engineer specializing in distributed data and ML platforms

Mountain View, CA6y exp

“Defense-domain AI engineer who built a production ReAct-style RAG system for military training data/material generation, scaling to ~1000 users and cutting generation time by 50%. Also has experience designing GPU-cluster parallel computation with PyTorch and handling production incidents involving database performance and schema design.”

Kavya Myakala

Screened

Mid-level Frontend Developer specializing in security analytics dashboards

NJ, USA4y exp

“Built and shipped production LLM agents including an end-to-end customer support resolution system (99.9% uptime target) that improved customer satisfaction by ~18% and reduced the need to scale support headcount. Demonstrates strong agent engineering fundamentals—tool-based orchestration, schema-first structured outputs with deterministic validation, and robust eval/monitoring loops—plus experience integrating agents with messy ERP data using canonical normalization and safe fallbacks.”

“Built practical automation systems spanning an NLP-based news classification pipeline and a WhatsApp interaction agent. Shows strong instincts around production reliability—using structured outputs, schema validation, idempotency, retries, and clarification flows to prevent bad actions in real-world messaging workflows.”

“Backend/infrastructure-focused engineer building AI-agent products for small businesses, including a customer-service agent platform with intent routing, RAG over Pinecone, and external booking API integration. Has shipped Python/FastAPI services with JWT auth, versioned APIs, Docker deployments to AWS EC2 via GitHub Actions, and production monitoring with Prometheus/Grafana.”

“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.”

“Full-stack engineer with a strong builder mindset who has shipped both enterprise workflow software and AI-powered assistant platforms. They combine React/TypeScript and Node.js depth with hands-on experience in LLM/RAG systems, vector search, and reusable MCP-based agent infrastructure, and have delivered customer-facing products for enterprise operations teams including 40+ features across two products.”

“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.”

“Systems-oriented engineer with strong Python depth who repeatedly improves throughput in complex, ambiguous environments by designing pragmatic human-in-the-loop automation. Notable wins include a record-validation workflow that put a department over six months ahead of schedule and saved $500K+, plus AI-assisted and migration tooling integrated with Jama for engineering requirements and traceability.”

“Frontend-focused candidate who built Project Connect, a browser-based platform helping RPI students discover projects and collaborators. They show strong practical judgment in React/TypeScript UI architecture, usability improvements, and browser performance optimization, including DevTools-based debugging and state-management refinements.”