.png){kind=logo}
Vetted JavaScript Professionals
Pre-screened and vetted.
George Stathopoulos
Entry-level Software Engineer specializing in full-stack web development and applied systems work
“Full-stack developer with hands-on experience building an end-to-end automated trading platform that combines web scraping, relational data storage, Flask/React architecture, and LLM-based decisioning via Google Vertex AI. Also brings production experience at CALEC, where they contributed frontend improvements including welcome-page redesigns, multilingual support, and accessibility-related fixes.”
“Early-career full-stack developer who has independently built a job application platform with Apollo-based backend APIs, schema design, CRUD operations, and search/filter functionality. Also experimented with AI integration through an image-generation app, and is candid about still growing in production-scale engineering rigor.”
SREYAS GANGJI
Mid-level Software Engineer specializing in AI/ML backend systems
“AI/data engineer at ZS Associates focused on production-grade agentic systems, FastAPI microservices, and cloud-native ETL/RAG pipelines at significant scale. They’ve built multi-agent validation and diagnostic workflows inspired by their Copilot/KUBEPILOT AI work, supporting 500K+ records per day while improving ML inference performance by ~30% and cutting manual troubleshooting by 60%.”
Rambabu Dhanavath
Mid-level Software Engineer specializing in backend and cloud-native microservices
“Backend/cloud engineer with 5 years of experience who has shipped a production internal ops LLM assistant end-to-end using Spring Boot microservices on AWS. Stands out for designing controlled, safety-first agent orchestration with deterministic tool access, Redis/DB-backed recoverable state, and strong observability/evaluation practices to improve reliability in production.”
Vandana Rajesh
Junior Product Designer specializing in design systems and AI-assisted B2B products
“Product designer at early-stage startup Pomu who combines user research, systems thinking, and hands-on implementation to shape product direction—not just screens. She helped redirect the core search experience from keyword-only to image-plus-keyword based on founder interviews, collaborated directly with ML engineering, and also codes polished front-end interactions on her own portfolio site.”
Shreyas Ravishankar
Entry-level Blockchain R&D Engineer specializing in zero-knowledge systems and ML
“Backend/full-stack engineer with an unusual mix of web application delivery, zero-knowledge cryptography, and applied ML. They built a BioTrack system that improved reporting by 40%, and also shipped a privacy-preserving but compliance-aware ERC-20 transaction layer using Noir and ZK proofs, processing 1000+ anonymous compliant transactions in just 2 weeks.”
Raj Kale
Junior Software Engineer specializing in full-stack systems and FinTech
“Full-stack engineer with experience building financial and hiring-product systems, spanning React/TypeScript dashboards, Flask/Kafka/Postgres backends, and multi-tenant configuration for 3,000+ clients. Stands out for combining deep technical debugging and performance work with product-minded UX improvements, including a 41% lift in resume matching accuracy and ~40% latency reduction through batching and query tuning.”
Jay Patil
Mid-level Full-Stack AI/ML Engineer specializing in LLMs and intelligent systems
“Built a semantic search portal for a fellowship department and an AI-driven PR review pipeline, using AI selectively for boilerplate while retaining full ownership of architecture, security review, testing, and deployment. Has hands-on experience with multi-agent systems, monitoring, and security validation, with a notably disciplined approach to catching false positives and rewriting weak AI output.”
Ankur k
Entry-level Smart Contract Engineer specializing in DeFi and blockchain systems
“Full-stack product builder with experience owning a B2B bulk-purchase negotiation feature end to end and layering AI into real workflows like invoice generation. Also built an agentic deployment tool using LangGraph, MCP, OCR, and Playwright to automate app deployment to platforms like Vercel and Render.”
Nidhip Patel
Mid-level Software Engineer specializing in AI/ML and full-stack development
“Backend Java engineer with strong platform/DevOps experience: modernized an insurance claims legacy monolith into DDD-aligned microservices, deployed containerized services on Kubernetes with Jenkins CI/CD and static analysis gates, and implemented GitOps using ArgoCD. Also led major AWS migration planning with dependency mapping and network monitoring to uncover hidden dependencies, and built Kafka-based real-time event streaming with schema-registry-driven evolution.”
Sairam Prasad
Mid-level Full-Stack Engineer specializing in AI-powered web platforms
“Fullstack engineer focused on AI-powered customer-facing products, with hands-on experience building semantic search, document intelligence, and story-analysis platforms from scratch. Stands out for owning architecture and implementation across React/Next.js frontends, GraphQL/FastAPI backends, and async AI pipelines, while also shaping product direction through direct customer feedback in ambiguous startup environments.”
“Sole full-stack engineer on a founding team building an AI-native construction management SaaS, where they owned the document search interface, project explorer, and ingestion pipeline end-to-end. They also shipped a multimodal conversational AI experience for social-skills practice, showing a blend of product sense, AI integration, and startup-speed execution.”
Julia Vavrinyuk
Senior Software Engineer specializing in cloud, GenAI, and SaaS solutions
“Candidate combines B2B SaaS sales experience with hands-on technical delivery, spanning full-cycle selling at Consensus Cloud Solutions and GenAI POC leadership at Capgemini. Particularly interesting for Solutions Engineering roles that need someone comfortable with enterprise demos, AWS-based AI architectures, regulated-industry customers, and translating technical trade-offs into business decisions.”
VenkataKrishna Maguluri
Mid-level Java Full-Stack Developer specializing in scalable web applications
“Full-stack Java developer from Cognizant who built a real-time transaction monitoring and tracking platform for operations and customer visibility. Stands out for combining Spring Boot, React/TypeScript, Kafka, and CI/CD tooling to ship near real-time dashboards, while also working directly with users to refine requirements and improve performance in high-volume transaction environments.”
Julian Thong
Senior Software Engineer specializing in FinTech platforms
“Senior software engineer with deep experience in private markets platforms, spanning full-stack product development and complex backend modernization. Notably helped migrate a core IOI processing system from a Rails monolith to .NET microservices with Kafka-based event sequencing, and contributed to an Offerings platform that drove 50% faster transactions for investors and operations teams.”
Oyal Fokshner
Senior Software Engineer specializing in Golang backend and cloud platforms
“Backend-leaning full-stack engineer with deep Go expertise who has operated from two-person startup environments to enterprise-facing analytics platforms. He has owned major rewrites and real-time systems, including a Go migration for a profitable automation startup, a WebSocket service that cut server load 38% for 2,000+ subscribers, and B2B analytics products used by Fortune 500 event sponsors.”
SAM AUSTIN
Senior Full-Stack Engineer specializing in Python, cloud, and SaaS platforms
“Lead full-stack engineer with strong Python backend depth and hands-on React/TypeScript experience, working in startup-like B2B SaaS environments serving enterprise software customers such as CrowdStrike, HashiCorp, and VMware. Stands out for redesigning tightly coupled systems into modular AWS-based microservices and building configurable integration platforms that improved enterprise customer onboarding and marketplace workflow scalability.”
Dishank Kailash Oza
Mid-level Full-Stack Software Engineer specializing in distributed cloud systems
“Engineer with a thoughtful, production-oriented approach to AI-assisted development, including multi-agent workflows for planning, coding, review, testing, and debugging. Stands out for treating AI systems like distributed pipelines with explicit interfaces, validation layers, and guardrails to improve reliability and reduce hallucinations.”
“Frontend-focused full-stack developer who built ApplyFlow, a job application tracking platform with reusable dashboard and Kanban components, real-time updates, and responsive UX. Also worked on a UI Replay project for visualizing high-frequency user interaction data, showing strength in performance-sensitive React applications.”
Dinesh Guguloth
Mid-level Software Engineer specializing in full-stack cloud-native applications
“Full-stack engineer with cloud and GenAI experience who has owned production features end-to-end, including a reporting dashboard optimized from 14s to 5s using query/API refactoring and monitored via AWS CloudWatch. Also productionized an OpenAI-powered chatbot using LangChain with prompt design, guardrails, and evaluation via production logs and user feedback, and has led incremental legacy-to-microservices modernization with parallel run to avoid regressions.”
Aishwarya Murahari
Senior Full-Stack Engineer specializing in cloud-native and AI-powered systems
“Full-stack engineer with experience spanning React/TypeScript frontends, Node.js backend services, and production systems on AWS. They’ve built real-time, event-driven inventory workflows using PostgreSQL, Redis, RabbitMQ, and Keycloak, and also drove a multi-agent LangGraph architecture for a self-healing systems project evaluated on simulated Kubernetes outages.”
Nikhil Palarapu
Intern Full-Stack Engineer specializing in LLM-powered production systems
“AI/full-stack product builder who has shipped agentic workflow tools in nonprofit and hospital settings, with a strong focus on confidence thresholds, human escalation, and production evals. They stand out for turning ambiguous operational problems into measurable outcomes, including 58% lower manual triage time, 45% faster reporting, and dispatch automation that resolved about 82% of requests autonomously.”
paul mack
Senior Product Leader specializing in Enterprise SaaS, AI, and digital transformation
“Product leader with an unusual blend of AI product building, social work training, and hands-on education experience. Built an AI-powered relationship coaching app from scratch, led IAM product strategy in fleet SaaS, and previously taught biology/AP Biology through Teach For America and helped found a high-performing Detroit charter school.”