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Vetted Tailwind CSS Professionals
Pre-screened and vetted.
Mid-level Full-Stack Software Engineer specializing in healthcare and cloud systems
Mid-level Software Engineer specializing in AI platforms and backend systems
Senior Full-Stack Software Engineer specializing in Healthcare IT and cloud-native systems
Staff Software Engineer specializing in full-stack platforms and cloud-native microservices
Mid-level Full-Stack Python Developer specializing in APIs, microservices, and cloud deployments
Mid-level Full-Stack Software Engineer specializing in microservices and cloud-native systems
Principal Full-Stack Engineer specializing in AI platforms and enterprise systems
Senior Full-Stack Engineer specializing in cloud-native SaaS platforms
Mid-level Backend Software Engineer specializing in scalable systems and healthcare workflows
Senior Full-Stack Engineer specializing in cloud-native enterprise applications and ServiceNow ITSM
Mid-level UI Developer specializing in real-time dashboards for FinTech and Healthcare
Entry-level Software Engineer specializing in data pipelines and applied AI
Principal software engineer and technical founder specializing in AI platforms
Vighanesh Sharma
Mid-level Software Engineer specializing in cloud-native platforms and healthcare systems
“Backend engineer with healthcare-domain experience building a security-critical RBAC identity/authentication/authorization microservice suite used across hospital imaging platforms (X-Ray, Ultrasound, etc.). Demonstrates strong security mindset (mTLS, cert hygiene, JWT, pen-testing collaboration) and pragmatic scaling/reliability practices (Nginx load balancing, Redis caching, automated tests, canary rollouts).”
Varshith Dupati
Mid-level Software Engineer specializing in AWS, full-stack development, and AI data systems
“Backend engineer who built a Python-based data profiling/statistics platform processing up to 50M rows and ~300 metrics, using a DAG execution model, multithreading, and smart caching to cut processing time by up to 70%. Also improved PostgreSQL query performance from 12s to 2s via indexing/query rewrites, integrated an LLM (LangChain + OpenAI) for explainable “chat with the pipeline” functionality, and designed an AWS EC2+SQS architecture for scalable, isolated per-user processing.”
Byron Pineda
Staff/Lead Data Scientist specializing in Generative AI, NLP/LLMs, and MLOps
“Lead Data Scientist (10+ years) with recent work in healthcare data: built production pipelines that unify EHR, genomics, and clinical notes using NLP (spaCy/BERT/BioBERT) and scalable Spark-based processing. Also led development of domain-specific LLM/NLP systems for chatbots and semantic search, deploying models via FastAPI/Flask and improving retrieval with FAISS-backed, fine-tuned clinical embeddings and RAG-style workflows.”
Sarath Dunga
Mid-level Full-Stack Developer specializing in cloud microservices and AI/ML integration
“Full-stack engineer (~3 years) with eBay production experience building and operating high-scale, event-driven Python microservices for order processing and AI-powered recommendations (Kafka/Redis/FastAPI on AWS with Prometheus/Grafana). Also delivered polished React+TypeScript analytics dashboards and designed high-concurrency PostgreSQL schemas with significant latency reductions. Recently built AI-agent orchestration and an interactive node-based requirements dashboard for Siemens Polarion via MCP servers, improving user interaction by ~17.8%+.”