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Vetted Node.js Professionals
Pre-screened and vetted.
Chandana reddy
Mid-level Full-Stack Developer specializing in cloud-native microservices and distributed systems
“Software engineer with hands-on ownership of both fintech checkout improvements (saved payment methods/one-click checkout with tokenization and feature-flag rollouts) and production LLM/RAG systems for customer support. Demonstrates strong operational rigor via guardrails, evaluation loops integrated into CI/CD, and scalable data pipelines handling messy PDFs/CSVs/logs with reliability and observability.”
Kunal Santosh Bhujbal
Mid-level Full-Stack Software Engineer specializing in AI platforms and cloud microservices
“Distributed-systems engineer applying robotics-style patterns to software: built "Vibecheck," a high-throughput real-time video + OS-telemetry fusion and analysis system (500+ MB/session) with strict latency constraints. Strong in containerization and CI/CD (Docker, GitHub Actions) and in designing fault-tolerant, event-driven architectures (Kafka/RabbitMQ), plus hands-on debugging of multi-agent coordination using blackboard + watchdog/circuit-breaker control patterns.”
Harshini Jaligama
Senior Full-Stack Java Developer specializing in cloud-native microservices and FinTech
“Full-stack engineer (5+ years with Java/Spring Boot and React) who has built and deployed AWS-based microservices platforms using Kafka for real-time rewards/promotions and large-scale telemetry analytics. Demonstrates hands-on scalability expertise (partitioning, consumer groups, durability/acks, idempotency) and production-minded delivery practices (CI/CD, Docker, testing, Swagger, monitoring).”
Prachika Agarwal
Senior Solutions Architect and Data Analyst specializing in cloud data platforms and experimentation
“Software engineer who built and scaled an internal automation/auditing tool for analyzing Google and Adobe tagging containers, adopted by 13 internal clients and saving ~15 hours per audit. Has experience shipping containerized, Kubernetes-orchestrated systems and integrating OpenAI APIs into an agentic chatbot feature (plus prior NLP chatbot work during a Cyber Peace Foundation internship).”
Bryan West
Senior Software Engineer specializing in AI, cloud infrastructure, and full-stack development
“ML/NLP engineer who built a production system that converts large-scale unstructured text into a connected, searchable knowledge base using spaCy + Sentence Transformers/FAISS and a Neo4j knowledge graph, with BERTopic and XGBoost for organization/labeling. Strong focus on production-grade Python workflows (FastAPI/Celery, Pydantic validation, Docker, AWS ECS/Lambda) and robust entity resolution with measurable precision/recall and human review for low-confidence matches.”
Goutami Amara
Mid-level Full-Stack Java Developer specializing in FinTech and Healthcare platforms
“Software engineer who built internal operations/monitoring dashboards for real-time trading and money-movement systems, emphasizing auditability and rapid iteration. Deep experience with microservices on Azure using Kafka/RabbitMQ, plus strong testing discipline (JUnit/Mockito/Testcontainers, contract/E2E) and observability patterns (correlation IDs, centralized logging, distributed tracing) to reduce incident triage time and improve resilience.”
Sai Harshith Tanguturi
Mid-Level Software Engineer specializing in Java microservices and AWS cloud-native systems
“Full-stack engineer who has owned customer-critical analytics and course intelligence platforms end-to-end (React/TypeScript + Node/Express + SQL), including an internal self-serve Reporting & Analytics Center adopted by 1,000+ users. Demonstrates strong systems thinking across performance (2× faster heavy reports), reliability (feature flags, testing), and distributed architecture (RabbitMQ microservices with idempotency, DLQs, and correlation-ID observability).”
Lucas Silbernagel
Senior Front-End Software Engineer specializing in accessible, high-performance web apps
“Frontend engineer who led the 2025 end-to-end launch of the Score Casino web platform, integrating a new regulated brand into an existing monorepo with scalable theming, Next.js routing changes, and supporting Docker/SRE deployment work. Emphasizes quality at scale through visual regression testing, Datadog/Bugsnag observability, and test-suite redesign (parameterized theme tests) that reduced CI flakiness; shipped the launch two months ahead of schedule while meeting GLI submission standards.”
Sahachel Flores
Mid-Level Backend Software Engineer specializing in enterprise systems and applied AI/ML
“Support engineer with IBM DFSMS OAM experience who restored a production TS7770 environment during a TS7760→TS7700 migration by using logs, SLIP traps, and dump analysis to pinpoint an SMS configuration (SCDS) issue, then partnering with the customer to redo the migration successfully. Also built a personal agentic news selector system and emphasizes documentation improvements and customer education to prevent recurring incidents.”
Mohan Naik Megavath
Mid-level Data Engineer specializing in real-time pipelines and cloud data platforms
“Backend engineer with hands-on experience building secure Python/Flask services (sessions, JWT, RBAC) and optimizing PostgreSQL/SQLAlchemy performance, including custom SQL using CTEs/window functions profiled via EXPLAIN ANALYZE. Also integrates LLM features via OpenAI/Azure into backend systems and improves scalability with RabbitMQ-driven async processing, caching, and multi-tenant data isolation patterns.”
Jhansi D
Senior Full-Stack Java Developer specializing in cloud-native microservices
“Full-stack engineer with experience building secure, cloud-native document/workflow platforms handling high-volume customer and medical data across microservices on Kubernetes. Demonstrated impact improving performance via event-driven AWS architectures (Lambda + DynamoDB Streams) and strengthening compliance/security for S3-stored documents using IAM and KMS. Has delivered end-to-end APIs and UIs using Java/Spring Boot with Angular/React, plus Docker and CI/CD.”
Preetham Reddy Konuganti
Junior Full-Stack Engineer specializing in AI applications and scalable web platforms
“Full-stack engineer with customer-facing delivery experience who built and deployed a multi-platform social media automation product (Next.js/Node/MongoDB) and optimized it using BullMQ/Redis background jobs, retries, and rate limiting for reliable posting at scale. Also delivered an AI-powered false-positive analysis service in a cybersecurity context, resolving production pipeline stalls via log-driven debugging, parallelization, caching, and LLM guardrails.”
Rasika Deodhar
Mid-level Full-Stack Software Engineer specializing in Generative AI
“Full-stack engineer who shipped an end-to-end speech capability for an LLM chatbot UI, integrating OpenAI APIs and publishing via Google Apigee with client documentation. Has experience operating deployments with Jenkins/Kubernetes/Docker and monitoring with Datadog, and has worked in an innovation-center environment building rapid prototypes under ambiguity with tight stakeholder feedback loops.”
Jeetendra Girish Vasisht
Junior Software Engineer specializing in cloud-native microservices
“Backend engineer (Nokia) who designs and migrates cloud-native microservices at scale, including a secure low-latency system handling 500k+ daily transactions. Strong in Kubernetes/OpenShift operations, CI/CD standardization, and production security (OAuth2/JWT/RBAC) with SOC2-aligned controls and zero critical security incidents. Demonstrated expertise in safe migrations (canary/blue-green, dual writes, reconciliation) and concurrency correctness in real-time systems.”
Hetvi Shah
Mid-Level Full-Stack Software Developer specializing in React/Angular and Node.js
“Frontend lead who owned architecture and quality for TELUS’s Next Generation Sales Platform, building a modular React+TypeScript experience that scaled across wireline/wireless products and channels. Experienced in hardening UIs against unreliable backend integrations (API abstraction, retries/fallbacks, caching, logging) and delivering real-time dashboards via WebSockets, with strong CI/CD testing and blue-green release practices for high-stakes launches like Black Friday.”
Arshaun Chapman
Senior Front-End Engineer specializing in Angular, design systems, and accessibility
“Founder of Business Online Strategic Solutions Digital Marketing, a 5-year bootstrapped digital marketing and web solutions startup serving small-to-mid-sized and enterprise clients. Focused on building scalable, performance-driven web experiences (web dev, UX/UI, CRO, marketing strategy) and is actively scaling capabilities in modern front-end development and AI-assisted workflows.”
Aadithya Bharadwaj
Junior Software Engineer specializing in full-stack, data engineering, and mobile apps
“Built production LLM agents at Hivenue and Amazon, spanning consumer booking automation and internal data-query/reporting workflows. Stands out for combining conversational UX with strong reliability engineering—strict tool use, state machines, schema validation, idempotency, and evaluation pipelines—and can point to measurable impact including a 21% reduction in time to book and a 12% conversion lift.”
Saaketh Sodanapalli
Intern AI/ML Engineer specializing in full-stack and data systems
“Built an LLM-powered customer segmentation agent during a Chewy internship, consolidating Snowflake data into a knowledge graph so non-technical marketing users could query customer cohorts in natural language. Stands out for combining agent/tooling design with rigorous data engineering practices, including schema audits, imputation, validation layers, and idempotent pipelines on messy large-scale datasets.”
Harsh Gupta
Mid Software Engineer specializing in backend systems and FinTech
“Backend engineer with experience spanning regulated financial systems at Oracle Financial Services and early-stage product building at Apli.ai. Has owned production onboarding infrastructure end-to-end, improved reliability through strong observability and incident response, and also built AI-backed backend workflows using AWS, Bedrock, and RAG.”
Rekha Talla
Mid-level Full-Stack Software Engineer specializing in AI and document automation
“Backend/AI infrastructure engineer focused on production-ready LLM systems and distributed workflows. They described building a RAG-based multi-step agent with strong reliability controls, evaluation loops, and graceful degradation that improved latency by 30%, retrieval accuracy by 15%, and reduced support workload by 40%.”
Rajesh Kumar
Mid-Level Full-Stack Software Engineer specializing in React, Node.js, and cloud-native systems
“Data engineer/backend engineer with healthcare domain experience at Centene, where they owned an end-to-end claims processing pipeline handling over 1 million monthly records. They combine Python/SQL pipeline work with API and event-driven service development, and cite a measurable 35% reduction in incident detection time through automated monitoring and validation.”
Jaya Rathi
Senior Software Engineer specializing in distributed systems and cloud platforms
“Software professional with 13 years of experience across Canada and India, now seeking a first US role in California. Has practical experience applying LLMs and IDE agents like Cursor, ChatGPT, and Gemini to streamline engineering documentation workflows, especially automating Jira/Confluence process work to reduce manual effort and errors.”
bikramjit ganguly
Staff Full-Stack Engineer specializing in API-driven web platforms and distributed systems
“Highly agent-centric builder who uses Codex daily to generate and manage full application repos, including Next.js CRUD apps, GitHub automation, and AWS lifecycle scripts to avoid long-lived cloud artifacts. They also experiment with multi-agent workflows for parallel development and correctness checking, showing strong practical fluency with emerging AI-native software development patterns.”
Nate Perry
Executive engineering leader specializing in distributed SaaS, IoT, and AI platforms
“Engineering leader with 11 years at Nokia/Janus International scaling an engineering organization from 3 to roughly 50 people, plus recent startup experience building an AI-powered virtual property manager platform. Particularly compelling for roles needing a rare mix of hands-on architecture depth, people leadership, and cross-functional execution across backend, web, mobile, QA, and even hardware-integrated products.”