.png){kind=logo}
Vetted React Professionals
Pre-screened and vetted.
Hammad Ur Rahman
Senior DevOps Engineer specializing in cloud infrastructure and CI/CD
“IBM Power/AIX engineer who has owned a 150+ LPAR AIX 7.x estate with VIOS/HMC/vHMC and PowerHA in production, including real outage and failover recoveries. Also brings modern DevOps/IaC experience—built Jenkins pipelines deploying to AKS and implemented Terraform on AWS with remote state, locking, and drift management.”
Sharanya Rao
Mid-level Backend & Blockchain Engineer specializing in Cosmos SDK and EVM
“Built and productionized an LLM+RAG lending assistant on AWS to help loan officers quickly answer questions from credit policies and prior decisions, tackling hallucinations with retrieval-only responses and a no-context fallback. Also automated end-to-end ETL and model retraining/deployment using Apache Airflow, and has experience translating clinical stakeholder needs (doctors/care managers) into ML features, metrics, and dashboards.”
Ali Zafar Zaidi
Senior Frontend/Full-Stack Developer specializing in React and Next.js
“Frontend engineer who has led architecture and delivery of large, data-driven React/TypeScript interfaces used by thousands of users, with strong emphasis on scalable structure, performance, and automated quality gates (CI/CD, Jest/Cypress). Recently building a resume screening application for McMaster University students and has experience shipping role-based (RBAC) features with tight cross-functional collaboration and PR-based QA deployments.”
JUNG NO
Senior Solutions Engineer & Applied AI Builder specializing in agentic workflows
“Built and shipped a production AI booking/quoting system for a Spanish-speaking cleaning business serving English-speaking customers, covering the full booking and payment flow and generating bilingual SEO/AEO content. Uses Gemini/Genkit with multi-agent orchestration (ADK/MCP, LangChain) and a production stack on Vertex AI + Cloud Run + Terraform, with analytics wired from Google Analytics to BigQuery for measurable agent performance.”
chandankumar ramamurthy
Junior Full-Stack Engineer specializing in LLM-powered products
“Built multiple systems from scratch at DSSD and Aglint, including an NGO sustainability reporting dashboard and a production LLM-powered phone screening agent using Twilio/Retell AI with RAG grounded in PostgreSQL candidate/job data. Strong focus on real-world reliability: guardrails, monitoring, and lightweight eval/regression loops that reduced recruiter score overrides by ~30%. Currently on OPT through May 2026 (plans STEM OPT extension) and committed to relocating to NYC for in-person work; seeking $90k–$120k base with meaningful equity for founding engineer roles.”
Shiva Dasi
Mid-level Software Engineer specializing in LLM agents and cloud-native systems
“Built and shipped production LLM agents in compliance-sensitive environments (FERPA), emphasizing reliability via structured outputs, state-graph orchestration (LangGraph), and CI-driven eval/regression testing. Also has experience hardening messy ERP ingestion pipelines at scale (50K monthly orders) with normalization, idempotency/deduplication, and robust failure handling using AWS (SQS/CloudWatch) and PostgreSQL.”
Jyothsna V
Mid-level Backend Software Engineer specializing in Python/FastAPI and cloud-native microservices
“Backend engineer who evolved Coca-Cola bottlers' Trade Promotion Optimization platform at Coke One North America, building domain-focused microservices in Node.js and Python (Flask/FastAPI) with PostgreSQL. Experienced in multi-tenant security (OAuth2/JWT, RBAC, row-level scoping by bottler/region), API contract/versioning discipline, and Azure DevOps-driven incremental rollouts with strong observability.”
Mrudula Devaguptapu
Mid-Level Software/AI Engineer specializing in backend systems, data pipelines, and RAG automation
“Backend engineer with experience modernizing high-traffic subscription and payment systems (TCS) by moving to event-driven Spring Boot microservices with Kafka, adding idempotency/state management to eliminate duplicate processing. Built and scaled FastAPI services for AI automation workflows (360DMMC) with versioned contracts, JWT security, and strong observability, and has led live refactors using feature flags, parallel runs, and data reconciliation.”
Nidhi Sura
Junior Software Engineer specializing in AI platforms, distributed systems, and cloud infrastructure
“Software engineer with limited robotics background but deep experience building end-to-end document ingestion and image understanding systems, including a CAD-specific pipeline using a custom model to extract components and bounding boxes for user-facing visualization and Q&A. Also brings strong infrastructure/DevOps skills (Docker, Kubernetes, GitHub Actions, Terraform) with emphasis on reliability, cost optimization, and uptime.”
Ashay Panchal
Mid-level Software Engineer specializing in AI-driven distributed systems
“Backend engineer who built a high-stakes, privacy-first platform at be Still Analytics for survivors of domestic violence, emphasizing anonymity, security, and reliability. Experienced with GenAI backends (LangChain + AWS Bedrock) including RAG to prevent hallucinations, plus cloud-native scaling (Docker/Kubernetes) and cost-saving migrations from legacy VMs to serverless (30% reduction).”
Francesco Brischetto
Mid-level Game/VR Software Engineer specializing in Unity and Unreal multiplayer
“Unity/VR multiplayer developer with Photon Fusion experience who focuses on "game feel" and networking performance—profiling input/velocity to replace linear interpolation with Animation Curves, and refining camera smoothing to improve playtest feedback. Also has Unreal Engine C++ multiplayer experience with Epic Online Services and applies bandwidth-minimization strategies for smooth real-time VR under latency.”
Ryan Perera
Junior Front-End Developer specializing in React and accessible UI
“Frontend engineer who led end-to-end architecture for a warehouse management platform, emphasizing reusable domain-based React components and API-driven performance at scale (including barcode-scanning workflows). Also delivered a production-ready React Native iOS networking app MVP in ~5 weeks and built a data-driven React+TypeScript dashboard for collectible card market decisioning.”
Yash Amre
Intern Data Scientist specializing in machine learning and NLP
“Analytics-focused early-career candidate with internship experience owning reporting and system performance analysis projects end to end. They combine SQL data preparation, Python automation, and dashboard delivery with measurable impact, including roughly 50% less manual reporting and about 20% better forecast accuracy.”
Rahul Teggi
Junior Backend Software Engineer specializing in scalable APIs and cloud systems
“Full-stack product engineer focused on data-heavy dashboard applications, with hands-on ownership from React/TypeScript UI through Node/Express APIs to Postgres schema design and optimization. Stands out for combining product sense with engineering rigor: improving onboarding and reporting flows using analytics and user feedback, while also building reusable upload infrastructure and safe multi-tenant configurable experiences.”
Harish Hulluraiah
Mid-level Blockchain Engineer specializing in Hyperledger Fabric and Ethereum
“Full-stack product engineer with strong web3/blockchain experience, having built invoicing/tokenization, transaction explorer, and no-code workflow products across React, Node.js/serverless, and SQL. Stands out for combining deep technical execution with product thinking—improving onboarding completion by ~40%, shipping quickly under ambiguity, and creating reusable platform primitives for auditability and multi-tenant customization.”
Michael Rarick
Director-level growth marketer specializing in paid media and AI search
“Growth leader with a strong track record in ambiguous, emerging areas—most notably building an agency AEO division from scratch at Roswell and turning AI search visibility into a productized, revenue-linked offering. Also brings deep attribution and analytics rigor from Doctronic, where they unified fragmented paid media measurement, partnered with BI on internal MTA/MMM, and uncovered critical tracking issues affecting funnel performance.”
Yang MA
Junior Backend Software Engineer specializing in search, data systems, and LLM applications
“Built and deployed a full-stack web product for international football fans visiting the U.S. for FIFA, owning everything from crawling and aggregating event data to frontend, backend, deployment, and maintenance. Particularly strong in data-heavy product work, using LLMs, Google Maps API, and SQL/RPC patterns to improve data quality, speed implementation, and support a polished user experience.”
Yasser Ahmed
Mid-level Software Engineer specializing in full-stack cloud and SaaS platforms
“Full-stack engineer who built a multi-tenant SaaS analytics dashboard end-to-end with Next.js App Router/TypeScript, emphasizing server components + React Query for performance and real-time UX. Demonstrated strong production ownership post-launch (observability, DB/query tuning, caching strategy) and has concrete wins like 30–40% load-time reduction and Postgres query latency cut to under 200ms.”
Thomas Josso
Senior Full-Stack Engineer specializing in web, mobile, and AI products
“Solo developer who built and operated an AI debate product end-to-end, from architecture and deployment through observability and post-launch stabilization. They show strong practical LLM production experience—using Vercel AI SDK, OpenAI, Langfuse, Mem0, and custom RAG—while improving latency to sub-4 seconds, driving failures near zero, and cutting LLM usage by 20%.”
Abhishek Ghaisas
Intern-level Data Scientist specializing in AI and full-stack applications
“Engineer with hands-on experience building production ML and Python backend systems, including a real-time social media monitoring pipeline handling 1000+ events per second and a prototype AI operations assistant for Seattle-Tacoma Airport. Stands out for combining reliability engineering, automation, and LLM/NLP-to-SQL work, with measurable impact such as improving uptime from 92% to 99.4%.”
Andrew Lo
Mid-level account executive and software engineer specializing in healthcare SaaS
“Healthcare software sales candidate with hands-on experience building outbound campaigns, refining ICP and messaging in a small, iterative environment, and selling AI-enabled EMR capabilities. Demonstrates strong consultative discovery in nuanced care settings like home health and home care, with measurable outbound results including a 12% reply rate, 5-10 demos, and 25% demo conversion.”
Daniel Oshima
Mid-level B2B Sales Professional with SaaS and technical product exposure
“Outbound-focused AE with a structured cold-calling and multi-channel prospecting approach, generating 3-4 meetings per week through phone, email, and LinkedIn. Notably sourced and closed Rutgers University from cold outreach into a $40K annual spend, and shows a data-driven mindset by refining ICPs toward larger organizations to improve opportunity conversion.”