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Vetted State Management Professionals
Pre-screened and vetted.
Naga Manasa Bandaru
Mid-level Frontend Software Engineer specializing in React, Next.js, and TypeScript
“Product-focused full-stack engineer with FedEx experience building an internal logistics dashboard for near real-time shipment status and performance metrics using Next.js App Router + TypeScript. Strong in production ownership and performance work—uses React Profiler/Chrome DevTools to eliminate expensive re-renders and applies Postgres indexing/query tuning validated via EXPLAIN ANALYZE to improve dashboard responsiveness.”
Yun-Ting Chiou
Junior Full-Stack Software Engineer specializing in TypeScript, React, and Java microservices
“Software engineer with finance-domain experience who built an internal transaction management system end-to-end at Prospect Equities (TypeScript/React Native + Java Spring Boot microservices on AWS), delivering 40% lower query latency and 73% operational efficiency gains. Has also designed Terraform-provisioned, SQS-based distributed systems and scaled workloads to 10,000+ concurrent users, including monolith-to-SOA modernization that cut internal review time by 47%.”
Pranav Chand
Senior AI/ML Engineer specializing in Generative AI and LLM platforms
“Backend engineer focused on multi-tenant enterprise AI personalization and recommendation platforms, combining ML/LLM intent extraction with deterministic policy guardrails for compliance and auditability. Has hands-on AWS experience (ECS/Lambda/DynamoDB/S3) and led a careful DynamoDB single-table migration using dual write/read, canary + feature-flag rollouts, and strong observability/security (JWT/OAuth2, RBAC, Postgres RLS).”
Aditya Jaiswal
Intern Software Engineer specializing in cloud, DevOps, and applied AI
“Full-stack engineer with startup ownership experience (Aiir) building 15+ TypeScript/Go microservice APIs on GCP Cloud Run with Kafka-based async event streaming and React CRM integrations for billing/analytics. Strong post-launch operator who tuned Oracle performance (partitioning/indexing/query optimization) and validated a 23% retrieval-time reduction via AWR, and has a quality/DevSecOps mindset (94% Pytest coverage, GitHub Actions, SonarQube, Twistlock, CloudWatch) including migrating 18+ production CI/CD pipelines.”
Srushti Milind Jamsandekar
Mid-Level Software Developer specializing in backend, cloud, and GenAI
“Full-stack engineer with fintech and AI feature experience who shipped an AI-powered project summary module in Next.js (App Router + TypeScript) with secure server-side fetching and route handlers to a FastAPI backend, then owned monitoring and performance fixes in production. Demonstrated measurable UX wins (30% faster dashboard loads) and strong backend fundamentals (Postgres indexing/EXPLAIN ANALYZE, SQS-orchestrated idempotent reconciliation workflows with DLQs and retries).”
Anupreet Singh
Mid-level Software Engineer specializing in backend systems and AI automation
“Built a production Python microservice around Grafana Loki focused on reliability, with checkpointing, idempotency, replay tooling, tracing, and alerting to prevent data loss and silent lag. Also has hands-on experience hardening brittle Playwright automations against dynamic UIs, auth expiry, rate limits, MFA, and bot-detection constraints, plus turning tribal-knowledge SOPs into explicit state-machine-driven workflows.”
Prathyusha Mardhi
Mid-level AI/ML Engineer specializing in LLM agents and workflow automation
“AI/LLM engineer with strong healthcare domain depth who has shipped production-grade agents for care coordination and clinical workflow automation. Stands out for combining Knowledge Graph RAG, LangGraph orchestration, and rigorous eval/guardrail systems to improve reliability in high-stakes environments, with measurable gains in review time, hallucination reduction, latency, and clinician adoption.”
An Duong
Senior Full-Stack Engineer specializing in SaaS, mobile, and AI platforms
“Product-minded full-stack engineer with experience shipping engagement features and core communication systems at DribbleUp and Expys. Stands out for combining rapid MVP execution with rigorous iteration: delivered a leaderboard feature that lifted engagement by 8% initially and 20% overall, built a chat MVP in 3 days, and has hands-on experience deploying LangChain-based concierge agents with evals and human review.”
Achal Shah
Mid-level Full-Stack Software Developer specializing in scalable web applications
“Frontend-focused product engineer with experience at IBM and Intel building internal enterprise platforms, especially incentive and employee operations workflows. They repeatedly describe owning both UX/design decisions and the React frontend implementation, with strong emphasis on reusable components, API integration, and shipping ambiguous workflow products into production.”
Hatem Alkhatib
Intern Software Engineer specializing in full-stack and backend development
“Built a student-focused course planning tool called Dolphin Planner and appears to have owned it end-to-end, from full-stack implementation to UX refinement. Stands out for solving a real campus scheduling problem, optimizing React rendering performance, and iterating based on direct observation of classmates using the product.”
Ziyu Wang
Mid-level Full-Stack Engineer specializing in AI platforms and agents
“Front-end engineer focused on high-performance real-time browser applications, with hands-on ownership of an AI-integrated education platform and interactive admin tooling. Stands out for deep browser fundamentals knowledge and measurable UI performance gains, including a 40% reduction in client-side response latency.”
Abhinav Naragani
Mid-level Full-Stack Developer specializing in cloud-native web applications
“Software engineer with strong end-to-end ownership of search and listing systems (React/TypeScript frontend with Node.js + Spring Boot backends), focused on shipping fast while managing risk via feature flags, testing, and metrics. Demonstrated measurable UX/performance wins (reduced latency and search abandonment) and built internal observability tooling (dashboard + alerts) that improved incident response. Experienced with microservices reliability patterns including idempotency and dead-letter queues.”
Saloni Fnu
Junior Software Engineer specializing in backend systems and distributed services
“Built and operated a production TypeScript backend for a stateful conversational quoting chatbot at Tringapps, orchestrating multi-step workflows and session state while integrating with Salesforce and NetSuite. Implemented validation/retry logic, modular architecture, and strong logging/observability to handle real-world edge cases and external API failures.”
Kiran Satyanarayana P
Mid-level Full-Stack Java Developer specializing in enterprise banking and healthcare systems
“Built and shipped a production LLM-powered customer support triage/resolution agent that automated ~60% of tickets, cutting response times from hours to seconds and improving first-response resolution by ~40%. Experienced designing multi-tenant, tenant-isolated agent architectures with RAG, schema-based tool calling/strict JSON validation, and strong reliability practices (guardrails, retries, fallbacks, monitoring), including safe integration with messy ERP-like data.”
Jayanti Lahoti
Junior Full-Stack Software Engineer specializing in AI and cloud-native systems
“Backend/systems-oriented engineer focused on building production-constrained LLM agent workflows that automate repetitive operator tasks via intent/entity extraction, retrieval grounding, and structured action recommendations with human-in-the-loop review. Emphasizes reliability through deterministic orchestration, strict tool/function schemas, observability, and disciplined evaluation/feedback loops, with strong experience handling messy multi-service operational data and idempotent execution.”
Eugeniu Cozac
Senior Frontend Engineer specializing in React/Next.js for enterprise FinTech and AI platforms
“Full-stack engineer with strong real-time and applied AI experience: built an internal AI “virtual subject matter expert” platform at Shell Energy serving ~1,800 employees with sub-200ms response streaming. Diagnosed AWS load balancer WebSocket disconnects and shipped reliability fixes (heartbeats, reconnect/backoff, session resume), and implemented AI production guardrails (eval suite, drift monitoring, confidence thresholds, citations, human-in-the-loop) that reportedly cut hallucinations by ~90%.”
Vincent Chou
Mid-Level Software Developer specializing in Android frameworks and performance
“System-level Android/Java engineer (Motorola) who owned and shipped production reliability fixes in critical services, including resolving a race condition in Android UserManagerService that allowed concurrent duplicate clone-profile creation. Strong focus on correctness, invariants, concurrency safety, and observability; ramping toward product/full-stack work (Next.js/React/Postgres) with solid architectural grounding.”
Cuichan Wu
Junior Full-Stack Software Engineer specializing in scalable, AI-powered web apps
“Frontend-leaning engineer with production React experience and hands-on Next.js App Router patterns (Server/Client Components, Route Handlers, caching/revalidate decisions). Has built internal sales dashboards and optimized both React UI performance and SQL Server-backed analytics queries, and previously created an onboarding framework at Adobe that evolved into a configurable, multi-team reusable platform in a lean environment.”
Abhinita Sanabada
Senior Software Engineer specializing in AI/ML systems and FinTech platforms
“Master’s student in Data Science at San Jose State University with prior software engineering experience at JPMorgan Chase and Zap Labs. She combines enterprise backend reliability work in financial systems with hands-on full-stack AI workflow projects, including a recruiting automation system built with React/Next.js, FastAPI/Node, Kafka, and WebSockets, with a strong emphasis on observability, human-in-the-loop controls, and maintainability.”
“Frontend/full-stack product engineer with deep experience owning payment and subscription experiences across web, mobile, and BFF layers at SoFi. They helped shape the SoFi Plus subscription experience, including API contracts, observability, and complex membership state handling, and the launch was associated with roughly 200,000 new members over six months.”
Yuchen Shen
Junior Full-Stack Engineer specializing in AI and graph-based applications
“Front-end engineer with experience at Walmart and Sam's Club building sophisticated browser-based UIs, including an internal AI chat experience that combined chat, document rendering, editing, and visualization in one workflow. Stands out for pairing modular React/TypeScript architecture with hands-on browser performance debugging and Apollo/GraphQL optimization for highly interactive enterprise interfaces.”
Vamsi Krishna Chiguruwada
Senior Frontend Developer specializing in FinTech and Healthcare IT
“Frontend-focused engineer with experience spanning healthcare, enterprise analytics, and real-time trading products. They have owned React/TypeScript dashboard surfaces end-to-end, including a hospital patient dashboard that cut latency by 50%, and have also shaped backend WebSocket contracts to make real-time systems scale.”
Arunteja T
Senior Full-Stack Engineer specializing in distributed systems and enterprise platforms
“Front-end/full-stack engineer with hands-on ownership of a sophisticated healthcare digital ID card platform at Centene, spanning React/Next.js UI and Spring Boot BFF architecture. Stands out for combining browser-level debugging, reusable component design, and secure multi-system integration to improve mobile usability, reduce production issues, and support adoption of digital member ID cards.”
Farhan Mohammed
Mid-level Front-End Developer specializing in e-commerce and enterprise web applications
“Frontend-focused React/TypeScript candidate with hands-on experience building personalized product discovery and recommendation modules that balance relevance, performance, and maintainability. They show strong practical judgment around rendering optimization, responsive CSS, accessibility, and using DevTools/Profiler data to improve production UX.”