Vetted Tailwind CSS Professionals

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.”

Mohammed Syed

Screened

Mid-level AI Engineer & Researcher specializing in healthcare AI and multimodal LLM systems

Remote2y exp

“Backend/ML engineer focused on clinical AI transparency who built ShifaMind, an explainability-enforced clinical ML system using UMLS/MIMIC-IV/PubMed data with RAG, GraphSAGE, and cross-attention. Demonstrated strong production engineering via FastAPI API design and safe migrations (feature flags/shadow inference), plus HIPAA-aligned auth/RLS patterns; also delivered a real-time comet detection system reaching 97.7% accuracy.”

Tao Chen

Screened

Senior Full-Stack Engineer specializing in AI-powered web products

Mountain View, CA7y exp

“Backend/data engineer who has built production AI video generation services on AWS using a hybrid serverless + container architecture (FastAPI, Lambda, ECS, Postgres/Redis) with strong reliability practices (auth, retries/timeouts, structured logging, CloudWatch + Slack alerting). Also delivered AWS Glue ETL pipelines with schema evolution handling and modernized a legacy SAS healthcare reporting workflow to Python with parity validation and parallel-run migration.”

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.”

Anita Bhagashetti

Screened

Mid-Level Software Engineer specializing in distributed systems and cloud microservices

3y exp

“Built and productionized a RAG-based semantic search system for video-derived data, focusing on measurable success metrics (p95 latency, reliability, cost/request) and strong observability (prompt versions, retrieved docs, tool calls, token usage). Experienced in diagnosing real-time issues in LLM/agentic workflows and in supporting go-to-market efforts through tailored technical demos, rapid POCs, and post-close onboarding.”

“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.”

“Built a production 13-step LLM agent pipeline at Sentari AI that converts diary entries into personalized AI responses and a persistent structured user profile. Stands out for a pragmatic approach to production AI: strict schemas, function calling, state-machine orchestration, confidence thresholds, logging, and validation layers to control non-determinism and prevent bad profile updates.”

“Full-stack developer building Lynx Cafe, a React Native/Expo iOS app for coffee shop customer feedback, while using AI and multi-agent workflows to accelerate scaffolding, architecture, and backend migration. Stands out for treating AI like a junior engineering team—assigning specialized tasks, manually integrating outputs, and enforcing code quality, security, and architectural consistency.”

“Built production LLM-powered mobile apps using OpenAI APIs on a serverless Firebase/Google Cloud Run stack, including a prayer app serving global users across five major religions with customized prayer generation. Stands out for adding reconciliation and scoring layers to validate non-deterministic AI outputs before showing them to users, and for iterating prompts based on logged failure patterns.”

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.”

“Senior-level software engineer who uses AI pragmatically rather than blindly—leveraging Microsoft Copilot and LLMs for boilerplate, utility functions, and reusable React components while rigorously reviewing output for readability, reuse, and fit with project structure. Brings a strong maintainability mindset and prior experience reviewing code for junior engineers.”

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.”

YESHA BHAVSAR

Screened

Intern Software Engineer specializing in full-stack and AI applications

Alpharetta, GA0y exp

“Built and deployed an "AI Closet" application as a personal product, owning full-stack and applied AI features end to end. Particularly interesting for recruiters because they combined Next.js/TypeScript product engineering with practical AI systems work, including OpenAI vision-based smart form fill, personalized recommendation learning, and a grounded RAG application with evaluation and regression testing.”

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.”

Michael Boodoo

Screened

Senior Full-Stack Software Engineer specializing in secure web applications

Washington DC-Baltimore Area, USA10y exp

“Frontend engineer with experience spanning React/TypeScript architecture, third-party integrations, performance benchmarking, and UI animation/visualization. They described work on Angular-to-React migrations, enterprise API and PayPal integrations, a Gatsby-based 360 film project for Venezuelan filmmakers, and fixing a longstanding Washington Post bookmarks issue. Also noted holding an active US Secret Security Clearance.”

“Product/backend engineer from Revinate with experience in a startup-like SaaS environment, working on B2B tools for hotel managers. Stands out for hands-on performance optimization work that cut core service response times from roughly 800ms to about 300ms using Redis caching and database query improvements, alongside full-stack JavaScript/TypeScript and Python experience.”

Simon Ray

Screened

Senior Full-Stack Developer specializing in scalable backend and microservices systems

Virginia, USA8y exp

“Full-stack engineer with strong Go/React experience who built a property management MVP from scratch as the only engineer at a pre-seed startup, owning everything from architecture to deployment. Also brings fintech depth from a production AWS-based platform handling payments, transactions, and financial calculations that was later acquired by an IBM subsidiary.”