Vetted JavaScript Professionals

“Full-stack product engineer with hands-on ownership across React/TypeScript, serverless backends, and Postgres, combining technical depth with strong UX instincts. Stands out for measurable impact: improved a slow query from seconds to under 200ms and increased onboarding completion by about 25%, while also building reusable platform primitives and scalable multi-tenant configuration systems.”

Amaan Elahi

Screened

Mid-level Software Engineer specializing in backend, AI, and full-stack systems

New York, NY5y exp

“Built and shipped production LLM agents including an internal RAG-based compliance classification system at SAIL (FastAPI/Redis/Docker) designed to handle real failure modes and scale to ~10k LLM calls/hour, achieving ~93% pipeline accuracy with reduced hallucination risk via multi-model orchestration and strict grounding. Also architected “Elara,” a state-machine-driven conversational appointment booking agent using structured JSON outputs and backend function execution for reliability, and has experience normalizing messy OTA/PMS data at RateGain.”

“Unity/C# game engineer with about 3 years of experience who owned a high-impact runtime content delivery platform at Zynga/Singa powering LiveOps releases for roughly two years. Their work cut app size by 35-40%, removed a 25K daily activator drop on release days, improved load times by 25%, and supported a feature that drove 10% quarterly revenue growth.”

Pahuldeep Singh

Screened

Senior Full-Stack Developer specializing in scalable web platforms and automation

Remote6y exp

“Backend/full-stack engineer focused on TypeScript/Node.js systems, with hands-on ownership of a real-time telemetry and dashboard platform built on Kafka, Debezium, PostgreSQL, and GraphQL. Stands out for combining event-driven architecture, correctness/idempotency patterns, strong observability, multi-tenant security, and developer-friendly API design in production environments.”

“Built Bargain Bricks end-to-end as a solo creator, handling product ideation, design, backend, APIs, website, and native iOS/Android apps. They actively maintain and iterate on the product, which has over 1,000 downloads, and have improved conversion through UI changes that surfaced the best deal above the fold.”

“Salesforce-focused candidate with hands-on experience owning Sales Cloud automation end to end, including requirements translation, Flow/Apex design, testing, and production deployment. They show practical judgment in choosing hybrid declarative/code solutions, bulk-safe Apex patterns, and modern UI work across both LWC and legacy Aura components.”

Chanatip Vachirathanusorn

Screened

Entry-level Software Engineer specializing in full-stack and FinTech systems

San Diego, CA2y exp

“Software engineer with AppFolio payments experience who shipped an end-to-end payment adoption rollout during a short internship, including full-stack implementation, stakeholder coordination, and real-time monitoring. Also built an insurance service AI agent inspired by his father's agency, combining structured document ingestion, RAG, and agentic integrations to improve reliability on dense policy documents.”

“Built a Flask-based web application for NCAA Men's gymnastics and also worked on a survey-question collection and normalization project for UC Berkeley's Cameron Institute. Shows a clear reliability mindset through validation, testing, logging, and error handling, and is comfortable turning ambiguous, messy data workflows into stable applications.”

Anirban Ghosh

Screened

Mid-level Machine Learning Engineer specializing in data science and cloud systems

Seattle, WA4y exp

“ML engineer who independently pitched and built a recommendation engine at Danske Bank in a legacy fintech environment, creating compliant data pipelines and deployment infrastructure from scratch and delivering a 62% engagement lift with 70%+ advisor adoption. Also worked at AWS on classification and GenAI-powered reporting systems, with strengths spanning production ML, platform setup, monitoring, and research-to-production optimization.”

“ML/AI engineer focused on production NLP and voice AI systems in the restaurant tech space, with hands-on work spanning ASR, intent classification, LLM fine-tuning, and deployment monitoring at Presto AI. They highlight a 15% improvement in full-AI ordering rate and also built a restaurant sentiment analysis product at Wisely that they say became a standout feature in a $10M acquisition context.”

“Backend/ML-focused engineer with experience spanning fintech, sales enablement, and medtech, including a Capital One capstone and a Singapore medtech startup internship. Stands out for owning end-to-end AI/backend systems, from a GenAI sales pitch platform that cut prep time by 50% to an ultrasound-guidance MVP for non-expert operators in a highly ambiguous domain.”

“Product designer with hands-on front-end implementation experience who has owned complex flows end-to-end at Wix and Intuit, including a live keynote demo for Wix’s first developer conference and a tournament-based inner-source readiness program across global AI/data teams. Particularly strong at turning ambiguous briefs into structured experiences, using design systems rigor, interaction design, and implementation fluency to ship polished, understandable products.”

“Engineer with hands-on experience across frontend, backend, and data systems, including React/TypeScript UI work at CitiGroup, ETL pipeline ownership at Accenture, and personal 0→1 builds like an AI chatbot and a real-time multiplayer typing platform. Stands out for combining product-minded prioritization with strong implementation depth in performance optimization, type-safe frontend architecture, and resilient data pipeline design.”

“AI/ML-focused engineer with practical experience building RAG-based and multi-agent systems, including architectures for retrieval, reasoning, context processing, and response generation. Stands out for combining LLM productivity gains with disciplined software engineering practices like validation, monitoring, and reproducibility.”

Malyadri Peruru

Screened

Senior Software Engineer specializing in backend, cloud, and IoT automation

Greater San Francisco, CA13y exp

“Software engineer with strong systems design experience spanning both core product infrastructure and AI-enabled support workflows. Co-led a from-scratch B2B SaaS billing platform for complex customer pricing models, and also improved an orchestrated agent system by tightening context, metadata, and human-review safeguards for misrouted support tickets.”

“Engineering leader with experience owning product engineering strategy, architecture, and org scaling across hospitality/workforce management and insurance startup environments. They describe being brought in to help Fourth Inc. revamp engineering for large-scale enterprise customers, while also scaling teams at The Zebra and staying hands-on with production monitoring, performance analysis, and cross-team architectural execution.”

Adithi Anugu

Screened

Mid-level Full-Stack Software Engineer specializing in API and data-driven applications

Florida, USA4y exp

“Full-stack engineer with internship experience at Sports Excitement and AI systems work at the University of Florida, combining React/TypeScript, Node.js, and PostgreSQL with applied AI workflow tooling. Stands out for shipping measurable product improvements—30% faster pagination and 40% higher engagement—and for building observability, eval, and human-review layers around AI-assisted data extraction systems.”

“AI/ML-focused software engineer who has built and orchestrated multi-agent systems with separate retrieval, planning, validation, execution, and escalation components. Stands out for combining hands-on experimentation with a strong reliability mindset, using observability, structured logging, tracing, and evaluation to make agentic workflows production-ready.”

“Frontend architecture leader with experience at Citi and Warner Bros. Discovery, building high-performance browser UIs for demanding enterprise and media workflows. Stands out for combining design-system standardization, deep browser performance optimization, and measurable impact: ~50% frontend improvement and 40% faster feature delivery across a 20+ engineer team.”

“Frontend-focused product engineer from TrialTrace who owned features end-to-end across product decisions, architecture, implementation, and testing. Strong in TypeScript/React applications with complex data visualization and dashboarding, including refactoring core coordinate logic, building filter-state architecture, and shipping fast user-driven features.”

Deepthi Pamisetty

Screened

Mid-level Full-Stack Engineer specializing in FinTech and cloud-native systems

Dallas, TX6y exp

“Full-stack engineer with production experience building AI-powered search and automation systems at JPMorgan Chase and customer-facing product features at Wayfair. Stands out for combining React frontend work with backend microservices, RAG/LangChain AI integration, and cloud-scale performance tuning, including a support chatbot that reduced ticket resolution time by 35%.”

“IBM full-stack engineer focused on document automation for internal and government use cases, building Java Spring Boot services and React/TypeScript UIs that automate XML-to-multilingual PDF workflows. Stands out for turning complex backend automation into usable tools for non-technical operations teams while improving processing speed and reducing manual effort.”

“Upcoming IIT KGP graduate with production-level frontend experience at Tryp.com, where they co-owned a sophisticated browser-based travel booking interface for global users. Stands out for combining React/TypeScript product work with unusually strong browser rendering and performance optimization skills, plus evidence of measurable UX and load-time improvements.”