Vetted React Professionals

Pre-screened and vetted.

Ramesh Ramanathan - Executive HR and IT consultant specializing in talent, operations, and AI-enabled business functions in Chantilly, VA

Ramesh Ramanathan

Screened ReferencesStrong rec.

Executive HR and IT consultant specializing in talent, operations, and AI-enabled business functions

Chantilly, VA20y exp
PsychoGeriatric ServicesFlorida International University

High-volume full-desk recruiter who specializes in driving difficult searches to close with tight process discipline. In one standout example, they filled a highly niche Swahili-speaking video journalist role in DC by moving beyond job boards and networking into diaspora communities nationwide, ultimately relocating and closing a candidate from Maine.

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Bhumika Kusugolli Parameswara

Screened ReferencesStrong rec.

Mid-level Full-Stack Software Engineer specializing in web and SaaS applications

Boston, MA4y exp
BitmatoBoston University

Full-stack product engineer who independently built and maintained a marketplace app end-to-end, including React/Node/PostgreSQL architecture, real-time chat, S3 uploads, and OpenAI-based listing validation. Also shipped backend-heavy workflow features for a nonprofit upward mobility platform using Supabase edge functions, with a clear focus on security, role checks, and operational reliability.

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Sai Manikanta Kasireddy

Screened ReferencesStrong rec.

Mid-level Machine Learning Engineer specializing in cloud-native GenAI and RAG systems

5y exp
Revstar ConsultingUniversity of North Texas

Built and productionized an internal GenAI chatbot that makes company policy/SOP knowledge instantly searchable, using a secure RAG architecture on AWS (Bedrock/Titan embeddings/OpenSearch Serverless, Textract/Lambda/S3 ingestion, Claude 3 Sonnet). Demonstrates strong MLOps/orchestration experience (Airflow, Step Functions with Lambda/Glue/SageMaker) and a rigorous reliability approach (RAGAS metrics, A/B testing, citation validation, monitoring), including collaboration with compliance stakeholders via review dashboards.

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Amrit Srivastava - Junior Software Engineer specializing in robotics simulation and machine learning

Amrit Srivastava

Screened ReferencesStrong rec.

Junior Software Engineer specializing in robotics simulation and machine learning

3y exp
Action LabMichigan State University

Undergraduate AI/robotics research assistant who built a city-scale robotics simulation stack for embodied question answering, including JSON-driven environment generation and a ROS 2 pipeline bridging Isaac Sim sensors (CV/LiDAR) to external ML/RL algorithms. Also created and deployed an open-source library workflow tool adopted across multiple local libraries, using GitHub Actions CI/CD for signed releases and automated updates.

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Bhavesh Ittadwar - Senior Full-Stack Engineer specializing in scalable web and cloud systems in USA

Bhavesh Ittadwar

Screened ReferencesStrong rec.

Senior Full-Stack Engineer specializing in scalable web and cloud systems

USA3y exp
Heartland Community NetworkNorth Carolina State University

JavaScript engineer who built a Michelin-specific headless CMS forms platform based on apostrophe-forms, powering forms across 400+ Michelin websites. Designed an extensible, SOLID-aligned modular field architecture with a shared design system, cutting hundreds of lines of per-project code across 10+ implementations while driving cross-device compatibility and performance (BrowserStack, Lighthouse, SSR).

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Praniket Ketan Walavalkar

Screened ReferencesStrong rec.

Junior AI Software Engineer specializing in RAG agents and cloud data platforms

Seattle, WA1y exp
University of WashingtonUniversity of Washington

AI Software Engineer (student employee) at University of Washington IT who helped deploy "Purple," a governed, explainable LLM platform on Azure used by 100,000+ students/faculty/staff. Independently led scalable reliability efforts by building automated agent quality/load/red-team testing and CI/CD health validation (Playwright/Node.js, Azure DevOps), and previously built an explainable AI scheduling assistant for clinical operations at Proliance Surgeons.

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Alifya Kitabi

Screened ReferencesStrong rec.

Senior QA Engineer specializing in SaaS payments and legal tech

San Diego, CA22y exp
8amNJIT

QA professional from fintech/SAP security and complex identity systems who has owned end-to-end testing across the SDLC, including being the sole QA on a high-risk payment platform carrier migration. Demonstrated strength in integration testing, data integrity validation, and diagnosing calculation/automation defects using controlled test data and scripted date emulation; experienced with JIRA/TestRail and Selenium-based regression coverage.

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William Armstrong - Junior Product Engineer specializing in AI and SaaS in San Francisco, CA

William Armstrong

Screened ReferencesStrong rec.

Junior Product Engineer specializing in AI and SaaS

San Francisco, CA1y exp
AdviserGPTBoston College

Product intern at an AI startup (AdvisorGPT) who helped turn an LLM-based prototype into a production SEO blog-generation workflow that matched a firm’s tone/voice and targeted specific search phrases. Strong at bridging technical and non-technical teams, rapidly learning new AI tooling, and driving adoption through customer calls, UX improvements, and customer-facing demos/workshops.

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GJ

Glen Jarvis

Screened ReferencesStrong rec.

Staff Site Reliability Engineer specializing in cloud infrastructure and automation

Remote, NY17y exp
OS LabsMissouri University of Science and Technology

Infrastructure/automation engineer with experience bridging post-acquisition environments (Pandora + SiriusXM) by building an API-driven integration to provision Debian workloads on RHV while preserving iPXE-based imaging workflows. Strong in deep debugging across virtualization/network/OS layers (e.g., resolving virtio/vCPU contention causing network/NFS issues) and in extending automation tooling via custom Ansible/Python modules. Also has exposure to biomanufacturing on-prem devices (Hamiltons, shakers) alongside AWS microservices.

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Nakul Reddy Sarasani

Screened ReferencesStrong rec.

Junior Full-Stack Software Engineer specializing in cloud-native distributed systems

Dallas, USA3y exp
JPMorgan ChaseUniversity of North Texas

Software engineer with JPMorgan Chase experience building a real-time operations console backend on Spring Boot/Kafka/Kubernetes and resolving peak-load latency through profiling, indexing, caching, and async processing. Also built and owned an AI-driven digital-archives metadata pipeline during a master’s at UNT using OCR + LLaMA-based prompting with validation, near-human accuracy, and human-in-the-loop guardrails.

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Carlotta Island - Junior Frontend Engineer specializing in React and FinTech web applications

Carlotta Island

Screened ReferencesStrong rec.

Junior Frontend Engineer specializing in React and FinTech web applications

3y exp
Wells FargoUniversity of Nevada, Las Vegas

Developer who uses AI as a practical collaborator rather than a crutch, pairing tools like Claude with console logging, testing, and hands-on validation. They emphasize understanding code, data flow, and architecture while staying current by building projects and following AI and engineering communities.

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Luciano Barrios - Principal Hardware & Systems Architect specializing in edge AI and biometrics in Buenos Aires, Argentina

Luciano Barrios

Screened ReferencesStrong rec.

Principal Hardware & Systems Architect specializing in edge AI and biometrics

Buenos Aires, Argentina25y exp
TensorNodesUniversidad Tecnológica Nacional

Career startup operator now building a self-funded venture in home, professional, and industrial automation plus physical access control. Brings hands-on early-stage hardware/platform development experience along with investor-facing fundraising support, including technical presentations and introducing new ventures to existing funding relationships.

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Preethi Bandari - Mid-level Full-Stack Developer specializing in scalable web applications in Memphis, TN

Preethi Bandari

Screened ReferencesStrong rec.

Mid-level Full-Stack Developer specializing in scalable web applications

Memphis, TN5y exp
MetLifeUniversity of Memphis

Developer who uses AI tools pragmatically to accelerate coding while keeping full ownership of system design and decision-making. Emphasizes rigorous review, testing, and alignment with architecture, security, and performance standards, and stays current on AI through both industry sources and hands-on experimentation.

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Timothy Flechtner - Executive Technology & Product Leader specializing in games, platforms, and real-time systems

Timothy Flechtner

Screened ReferencesStrong rec.

Executive Technology & Product Leader specializing in games, platforms, and real-time systems

23y exp
Night Street GamesUniversity of Wisconsin–Madison

Engineering leader with gaming and fintech/trading-firm experience who built a sponsor-funded gaming rewards platform (AmEx-style) requiring integrations across Steam/Epic/Xbox/PlayStation and Discord. Emphasizes production-grade, 12-factor delivery with Terraform/Docker/CI/CD and automated testing, plus pragmatic org scaling and remote-team culture built on aligned autonomy and trust.

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Vikas Katuru

Screened ReferencesStrong rec.

Junior Full-Stack AI Engineer specializing in GenAI and secure data systems

2y exp
Community Dreams FoundationUniversity at Buffalo

Backend-leaning full-stack engineer who has built AI-powered analytics products from 0→1, including a predictive analytics dashboard and an AI orchestrator for natural-language-to-database querying. Particularly strong in making LLM systems production-safe through schema validation, self-healing retries, monitoring, and retrieval optimization, with quantified impact on cost, latency, and quality.

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Rohitha Dollu

Screened ReferencesStrong rec.

Entry-level Software Engineer specializing in backend, cloud, and data systems

Remote1y exp
KneadNortheastern University

Built across cloud infrastructure, AI-powered product workflows, and backend data reliability in environments including Northeastern, Knead, and Grafx. Particularly compelling for roles needing someone who can both ship AWS-based systems end-to-end and debug messy production issues involving caching, APIs, and data pipelines.

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Sophie Adams - Senior Full-Stack Engineer specializing in event technology and interactive systems in New York, NY

Sophie Adams

Screened ReferencesStrong rec.

Senior Full-Stack Engineer specializing in event technology and interactive systems

New York, NY20y exp
Gramercy Tech

Full-stack product engineer in event tech who has owned AI-powered web products from architecture to live production, including a no-code SaaS/marketplace for event activations and real-time AI kiosk experiences. Particularly strong in building for non-technical users in high-stakes live environments, with hands-on experience across Vue/Laravel, LLM workflows, image generation pipelines, and operational reliability.

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Rathi Anand - Senior Full-Stack Software Engineer specializing in Insurance, FinTech, and AI/ML applications in Dublin, CA

Rathi Anand

Screened ReferencesStrong rec.

Senior Full-Stack Software Engineer specializing in Insurance, FinTech, and AI/ML applications

Dublin, CA17y exp
State Compensation Insurance FundCollege of Engineering, Guindy (Anna University)

AI/backend engineer who fine-tuned and deployed a production LLM chatbot using a LangChain + FAISS RAG pipeline, improving latency with PEFT/LoRA and driving strong business impact (40% customer adoption; 92% satisfaction). Also served as technical lead on a data aggregation system for underwriting/quoting, introducing GraphQL for more efficient, maintainable querying and applying CDC to keep cached ranking data fresh at scale.

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KI

Khuram Ismaeel

Screened ReferencesModerate rec.

Senior AI/ML Engineer specializing in machine learning and cloud-native AI systems

10y exp
SoftServeAir University

ML/AI engineer with hands-on ownership of production recommendation and GenAI systems, spanning experimentation, deployment, monitoring, and iteration. Stands out for delivering measurable outcomes—22% CTR lift, 15% conversion lift, and a 30% reduction in support tickets—while demonstrating strong judgment on latency, cost, and safety tradeoffs in real-world systems.

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Suraj Iyer

Screened ReferencesModerate rec.

Junior Software Engineer specializing in AI and cloud-native full-stack systems

Mumbai, India3y exp
MerkleIndiana University Bloomington

Software engineer with 2 years of professional full-stack experience plus a CS master's journey in the US, who has since focused heavily on building hackathon-winning AI systems. Stands out for combining production-minded backend architecture, TypeScript-heavy reliability work, and multi-agent LLM applications spanning physical security and insurance claims automation.

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GK

Gaurang Kathiriya

Screened ReferencesStrong rec.

Senior Full-Stack Software Engineer specializing in React/React Native and Azure

Remote7y exp
Phase2 TechnologyUniversity of Guelph

Frontend engineer/lead who has owned end-to-end architecture for large customer-facing React/Next.js platforms, emphasizing strong API contracts (GraphQL + TypeScript codegen), automated quality guardrails, and performance as a feature. Built complex workflow UIs including a multi-step patient booking flow for New York’s largest healthcare provider and an admin dashboard handling 400,000+ USDA ingredient records, with disciplined state management, staged rollouts, and real-user monitoring.

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JH

Jaraad Hines

Screened ReferencesStrong rec.

Senior Product Lead & Product Engineer specializing in FinTech and AI platforms

New York, NY9y exp
Iron Key CapitalUniversity of Pennsylvania

Product engineer/designer with founder mindset who shipped a blockchain-enabled investor group/governance platform using Next.js (App Router), TypeScript, Prisma/Postgres, and Temporal. Emphasizes auth-centric onboarding (SSO + embedded wallet) to make dApp UX feel more like SaaS, and brings strong reliability practices (idempotent retries, reconciliation) plus experience demoing to investors and operating in seed-stage teams (ex-Vouched).

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Preetham Dandu - Junior Software Engineer specializing in backend, distributed systems, and cloud platforms in Stony Brook, NY

Preetham Dandu

Screened ReferencesModerate rec.

Junior Software Engineer specializing in backend, distributed systems, and cloud platforms

Stony Brook, NY1y exp
Stony Brook UniversityStony Brook University

MS candidate with strong backend/data engineering focus who builds research and data systems with production-grade rigor (reproducibility, observability, restartability). Has hands-on experience securing and scaling FastAPI-based gateways in front of Java microservices, leading SQL Server→Snowflake migrations with dual-write/feature-flag rollouts, and hardening Kafka-based fleet-tracking systems against out-of-order and duplicate events.

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