Vetted State Management Professionals

Sarah Johnson

Screened

Senior Software Engineer specializing in web applications for aerospace and insurance

8y exp

“Frontend engineer with hands-on experience building complex React/TypeScript workflows in insurance and interactive Cesium-based geospatial applications. Stands out for combining UI implementation with business-rule enforcement, shared component library improvements, and pragmatic performance decisions across both frontend behavior and database design.”

“Full-stack product engineer at AllCheer who has shipped production AI workflow systems in a compliance-sensitive healthcare operations context. They built React/FastAPI products with LangChain and OpenAI to automate release-of-information and note-extraction workflows, delivering measurable impact including ~60% faster processing, ~$20K annual savings, and ~92% extraction accuracy.”

“Full-stack engineer with startup SaaS experience building workflow automation and case management platforms for business operations teams. Strongest in Python, TypeScript/React, and PostgreSQL, with hands-on ownership from backend architecture and APIs to production deployment on AWS; notably helped reduce manual processing and improve customer turnaround times in a high-ambiguity scaling environment.”

“Full-stack and AI systems engineer who has shipped both enterprise fintech and real-time voice AI products. At NCR, they repaired a broken transaction-fee workflow end to end using React/TypeScript, Lambda, and DynamoDB; at Lillup, they turned a research voice prototype into production infrastructure, cutting latency from 350ms to under 200ms and raising user ratings from 2.8 to 4.1. They also built an LLM side project that uses Claude and GPT to cross-review each other through structured JSON consensus rounds.”

“Frontend engineer with 6 years of experience building AI-heavy React/TypeScript products, including an article summarization/report editor in Next.js, streaming chat interfaces, and a modular workflow tool for AI-generated video production. Stands out for diagnosing issues across the full stack—from React rendering and API payload design to Nginx streaming configuration—and for structuring maintainable frontend systems with multiple moving parts.”

“Full-stack engineer with strong DevOps/AWS experience who ships end-to-end React/TypeScript + Node/Python systems and operates them in production. Built an LLM-assisted recommendations workflow for a SaaS product with robust reliability controls (schema-validated JSON outputs, fallbacks, caching, monitoring) and measured impact via adoption, time saved, and override rates; also experienced delivering MVPs fast in early-stage startup ambiguity.”

“Built and owned invoice automation and alerting products at Neuralix, automating multi-site electricity invoice ingestion from PDFs into validated JSON with strict schema enforcement and LLM-based validation (reported ~98% compliance). Delivered zero-manual processing at 200+ invoices/month and ~5x faster throughput, and designed a domain-driven alert lifecycle to reduce noisy notifications and improve operational response.”

“Cloud/distributed-systems engineer who has shipped real-time, offline-capable ledger/expense infrastructure and solved tricky cross-layer production bugs (carrier handoff retries causing duplicate writes) using packet captures and device logs. Also built modular Python ETL/catalog pipelines for e-commerce with config-toggled plugins for customer-specific pricing/SKU rules, and iterated product changes directly with on-site fulfillment operators using feature flags.”

“Full-stack engineer currently building an employee management system end-to-end with React, Node/Express, and PostgreSQL, including JWT auth and RBAC. Previously worked at TCS on large-scale State Bank of India web applications, applying Redis caching, server-side pagination/filtering, and async job offloading to improve performance and reliability.”

Meghana Chowdary Borra

Screened

Junior Machine Learning Engineer specializing in predictive modeling and GenAI RAG systems

Buffalo, New York2y exp

“LLM engineer who built and deployed an emotionally intelligent AAC communication system using an emotion-aware RAG pipeline (Empathetic Dialogues + GoEmotions) and a PEFT-adapted model. Experienced with LangChain/LangGraph and custom Python orchestration, focusing on reliability (guards, schema validation, fallbacks), latency optimization, and rigorous evaluation (automatic metrics + human-in-the-loop), with a reported 18% user satisfaction improvement.”

Ekam Bhatia

Screened

Junior Full-Stack Developer specializing in React/Next.js, Node.js, and AWS

Ottawa, ON2y exp

“Led an end-to-end build of bhangrascape.ca, making key architecture choices across Next.js/Node/Postgres on AWS and implementing S3-based media storage with presigned URLs. Strong focus on quality and reliability via Zod validation, Jest tests, Postman endpoint testing, and CI/CD with GitHub Actions, plus hands-on UX ownership from Figma prototyping through reusable React components and A/B testing.”

Darren Jarvis

Screened

Senior Full-Stack Developer specializing in AI automation and enterprise CMS integrations

Langley, Canada15y exp

“Frontend engineer who led an MVP-to-scale React/TypeScript web dashboard for high-volume email triage with AI-suggested replies, supporting multi-tenant Gmail/Outlook providers. Emphasizes rigorous state normalization and layered state management (React Query + workflow + local UI), plus a testing-pyramid QA strategy and measurable performance instrumentation to keep quality and velocity high.”

Tanisha Dalwadi

Screened

Mid-Level Full-Stack Product Engineer specializing in TypeScript and React

Arizona, USA4y exp

“Software engineer and co-founder with 0-to-1 SaaS experience who built and owned an end-to-end reporting/analytics dashboard on Next.js App Router + TypeScript, including Postgres schema design, aggregation query optimization, and post-launch performance/monitoring. Has delivered measurable React dashboard performance gains (~35% improvement in time-to-insight) and built durable, idempotent job/state-machine workflows using serverless functions and Postgres.”

“Built and shipped a personal LLM-powered news aggregation platform (Clear Brief) that scrapes ~200 articles per cycle, clusters them into ~15–30 consolidated stories, and supports on-demand deep dives via a Next.js API route. Emphasizes production-minded reliability (token/cost controls, timeouts, graceful frontend degradation) and database-backed orchestration using SQLite with retry + exponential backoff for burst processing.”

Sanmith Kurian

Screened

Mid-level Software Engineer specializing in full-stack AI and FinTech systems

Remote, US4y exp

“Candidate applies a design-first approach to AI-assisted software development, using multi-agent setups across frontend, backend, and testing. They described building a multi-agent resume tailoring system and leading development of an AI-powered assessment interface for generating descriptive and MCQ questions, with architectural decisions including Redux for complex state handling.”

“Engineer working on a private cloud management platform who combines AI-assisted coding with formal methods, especially TLA+, to improve reliability in distributed systems. They led adoption of TLA+ for critical control-plane and task-queue components, catching substantial classes of bugs and building CI automation to keep specs aligned with code.”

Gowhith Gandem

Screened

Intern Software Engineer specializing in distributed systems and backend engineering

Remote, USA1y exp

“Frontend engineer with hands-on experience building real-time collaborative and visualization-heavy React applications, including a document editor using WebSockets, Redis, and PostgreSQL. Demonstrates strong performance instincts, with a concrete example of reducing dashboard load time from 3.2s to 2.1s at MegaViz while improving responsiveness for streaming data interfaces.”

“Full-stack product engineer working primarily in AngularJS/.NET environments who owns contract-signing workflows end to end. Most notably built and still owns an Express Contract module with multilingual WYSIWYG templates, automated activation, and prepayment/workflow controls supporting roughly 10,000 contract signatures per month, while also handling dashboard performance tuning on legacy-heavy systems.”

YASH CHAUDHARI

Screened

Mid Frontend Engineer specializing in React and FinTech platforms

Kalyan, India3y exp

“Full-stack engineer with strong fintech/product experience who built a credit/account-summary domain end to end as a microservice, integrating multiple backend services and deploying it across 13+ countries. They also shipped an OpenAI-powered financial assistant with token streaming, context grounding, production monitoring, and human-in-the-loop safeguards for sensitive debt guidance.”

Rohit Viswakarma Pidishetti

Screened

Mid-level Full-Stack Engineer specializing in real-time frontend systems

New York City Metropolitan Area, USA5y exp

“Frontend-leaning full-stack engineer who built and largely owned YAARI, a browser-based social media platform with real-time interactions, media handling, and AI-based content validation. Stands out for combining React performance tuning, real-time UX design, and security-conscious backend integration in a complex consumer-style application.”

“Frontend-leaning full-stack engineer who modernized a legacy jQuery-based product information management platform into a more modular React application and owned analytics dashboard integration across UI, APIs, and data flows. Brings strong experience with enterprise releases, TypeScript modeling for complex API data, and performance optimization for large, data-heavy product and analytics interfaces.”

“Frontend-focused candidate with React/TypeScript project experience spanning a senior design ADHD study app and an internship building ConfirmAddress.app. Stands out for combining role-based access/privacy thinking, education-regulation awareness, and hands-on debugging of login/state issues, with a strong emphasis on simple UX that supported real customer adoption.”

Pawan Tiwari

Screened

Senior Frontend Engineer specializing in real-time data and AI-powered interfaces

Bangalore, India5y exp

“Frontend-leaning product engineer who repeatedly operates across the stack, from React/TypeScript architecture to backend eventing, caching, and real-time systems. They describe measurable wins in high-scale operational products—cutting invoice download time by ~99%, stabilizing 100k+ daily-query dashboards to 200ms, and building internal platform tooling including an AI infrastructure agent adopted by 50+ engineers.”

“Unity gameplay engineer with hands-on experience architecting scalable game/UI state machines and building Photon multiplayer lobby/session flow systems. Has shipped optimization work for Meta Quest VR and mobile (pooling, LOD, mesh/material combining, draw-call reduction) and uses AI assistants to speed up architecture iteration and profiler-driven performance debugging.”