Vetted Node.js Professionals

“Backend engineer with experience at Amazon building an API-driven service (APS) for large-scale prompt optimization jobs using AWS Step Functions, Batch/Fargate, DynamoDB, and S3, emphasizing idempotency, observability, and secure execution boundaries. Also led a multi-tenant enterprise policy/configuration backend refactor at MAMIT Cyber with versioned schemas, shadow writes, feature-flagged rollout, and PostgreSQL RLS-based tenant isolation.”

Kaustubh Rai

Screened

Junior Software Engineer specializing in scalable distributed systems and cloud platforms

Pittsburgh, PA2y exp

“Backend engineer with experience at UnitedHealth Group redesigning a high-traffic Spring Boot microservice from blocking to reactive architecture during peak season, cutting median latency by 47% for a service used by ~10M customers annually. Strong in Kubernetes-based deployment/scaling and pragmatic rollout strategies (blue-green/incremental traffic shifting) with performance and database troubleshooting.”

Nilesh Dixit

Screened

Executive AI engineering leader specializing in agentic AI and enterprise platforms

San Francisco, CA24y exp

“Bay Area engineering leader and startup co-founder with a rare mix of deep hands-on architecture experience, large-scale people leadership, and cross-functional product ownership. He helped launch GE Digital's industrial IoT efforts, holds multiple patents in the space, has scaled teams to 60-70 people, and has led both enterprise platform modernization and AI startup product development.”

“Healthcare-focused full-stack/platform engineer with recent hands-on experience in Go, React, Python, Kubernetes, and AWS. They have worked in high-reliability, compliance-heavy environments, driving infrastructure modernization, internal operational tooling, and observability improvements that reduced troubleshooting friction for clinician platform and support teams.”

“SRE-focused engineer with experience at Sony Interactive Entertainment productionizing high-throughput LLM/agentic systems on Kubernetes, including GPU-aware autoscaling and warm-pool strategies to manage latency and cost under traffic spikes. Demonstrates strong incident response using Prometheus/Grafana + Jaeger tracing (e.g., resolving recursive agent loops and restoring 99.9% availability within minutes) and partners closely with sales/customer teams through PoV demos and developer workshops.”

“Backend engineer from Palantir who built and productionized an enterprise LLM-based document intelligence/search platform, evolving it into a hybrid lexical+vector retrieval system. Emphasizes reliability and cost control via strict LLM gating, robust fallback paths, and evaluation frameworks (e.g., MMLU/BLEU), plus disciplined migration practices (feature flags, dual-writes, shadow reads) to ship changes safely at scale.”

“AI engineer at Anote.ai who built and shipped a production multi-agent LangGraph/LangChain/Ray RAG platform for enterprise search and workflow automation, supporting 3 commercial products and 100+ developers. Drove measurable gains (30% accuracy improvement, lower latency) and improved reliability with Redis-based state checkpointing, message-queue synchronization, and Milvus retrieval optimizations, while partnering with PMs/clients to add transparency features like confidence scores and real-time logs.”

Akhilaa Sonduri

Screened

Junior Full-Stack Software Engineer specializing in SaaS and AI-powered web apps

Cambridge, MA2y exp

“Full-stack engineer with experience at HubSpot, Accolite, and an early-stage USC alumni startup (Workup). Built and shipped end-to-end workflow automation features (dynamic input configuration with strict schema validation) driving ~25% faster configuration, and delivered an AI interview customization feature in a high-ambiguity startup setting that increased adoption by ~40%. Comfortable operating production systems on AWS with CloudWatch observability and CI/CD, and has built real-time web apps with caching/indexing for performance.”

Feras Alsaiari

Screened

Senior Software Engineer specializing in AWS data platforms and event-driven systems

4y exp

“Capital One engineer leading the architecture and delivery of a large-scale AWS Glue/Spark/Delta Lake batch messaging pipeline that decoupled batch from real-time flows, added multi-region failover and automated retries, and delivered ~40% AWS cost savings with ~3x performance gains. Currently building an LLM-powered Slack bot using RAG to automate message investigations by querying CloudWatch, Snowflake, and internal documentation with privacy-aware masking of NPI/PII.”

Paiman Nodoushani

Screened

Executive CTO specializing in AI-powered transformation for enterprise SaaS

New York, NY35y exp

“Former Cisco professional who successfully pitched and got funding for adding virtualization to access routers to enable third-party application development, framing the opportunity with clear revenue upside and risk management. Highly interested in AI—especially agent-based development—and believes it lowers the barrier to building and shipping new products with small, high-caliber teams.”

“Solo technical founder building LabInsights, a healthcare middleware platform aimed at reducing missed follow-ups for abnormal lab results by layering AI-driven flagging, patient-friendly education, and prioritized care-team workflows on top of existing hospital systems. Currently validating in Bangalore with a former hospital CEO advisor, focusing on unit economics and securing LOIs/paid pilots; attracted to a venture studio to fill GTM, fundraising, and ops gaps.”

“Backend-focused engineer who uses AI pragmatically as a force multiplier rather than a substitute for engineering judgment. They stand out for applying structured, agent-style workflows to code generation, debugging, and production log analysis while maintaining strong emphasis on correctness, performance, and reliability in backend and microservices environments.”

“Built and architected ML-integrated payment processing systems for PlayStation at Sony Interactive Entertainment, covering fraud determination, provider routing optimization, and model-training feedback loops in production. Brings a strong reliability and observability mindset, with concrete experience designing fallbacks, retries, correlation-ID tracing, and statistically grounded evaluation for non-deterministic systems.”

“Software engineer at Paradigm who is deeply hands-on with agentic development workflows and AI-assisted coding. He built an in-house OAuth layer to replace a third-party service and reduce projected integration costs, and also created an "ambient agent" that proactively responds to user behavior on the website. He stands out for combining full-stack architecture thinking with a disciplined, model-aware workflow for designing, implementing, and reviewing AI-generated code.”

Rediet Gesesse

Screened

Mid-level Software Engineer specializing in FinTech and full-stack platforms

San Francisco, CA4y exp

“Built a kitchen capacity management system for merchants, owning deployment through stabilization and continuously tuning capacity based on fulfillment and cancellation outcomes. Also designed customer-support decision workflows for refunds/credits with a focus on fraud cost reduction, and has hands-on experience with Kafka, Flink, relational databases, and production incident mitigation via feature-flag rollbacks.”

Jyothi Kumar

Screened

Senior Software Engineer specializing in full-stack enterprise SaaS and digital marketing

Mountain View, CA10y exp

“Atlassian engineer who grew from frontend into full-stack ownership, spanning React/TypeScript UI architecture, backend data pipelines, observability, and Kotlin/Spring Boot integrations. They describe owning Confluence profile-service integration tied to signup growth, plus building a marketing analytics platform with caching, reusable components, and data-quality tooling that increased stakeholder adoption by 30%.”

“Frontend-leaning product engineer who has owned complex, data-heavy interfaces across Stitch Fix, Amplitude, Salesforce, and C3Drone. Stands out for modernizing legacy UIs into React, improving performance for large and real-time datasets, and stepping beyond frontend into backend sync logic, middleware, and query/parser work to ship collaborative product features.”

“Staff-level engineer with a track record of building greenfield, high-impact platforms inside major enterprises like Apple TV, CAA, and Disney. Particularly compelling for teams that need startup-style ownership with enterprise-grade execution: they’ve driven cross-department adoption, built AI and real-time systems hands-on, and delivered measurable operational gains in media, content, and ERP environments.”

“Senior full-stack engineer with seed-stage fintech experience who has led payment API development, implemented compliance-related standards, and built production systems across React, Go, Python, Node.js, and PostgreSQL. Notable impact includes enabling a first major client launch, reducing logistics response times by 30%, improving page load times by 40%+, and cutting analytics report generation from minutes to seconds.”

Shanay Wadhwani

Screened

Mid-level Data Scientist specializing in NLP, computer vision, and applied ML

Washington, DC6y exp

“AI/ML engineer with impactful work for the World Bank across both LLM systems and computer vision, including a PRAI evaluator-assistance platform and a production UNet model for slum detection from multispectral satellite imagery. Earlier built multilingual NLP-based borrower segmentation and credit scoring at Creditmate through its acquisition by Paytm, showing strong experience in ambiguous, high-impact environments.”

“Data engineer/backend developer with experience owning end-to-end, high-volume data pipelines for ML/analytics using Python, Airflow, SQL, and PySpark, reporting ~30% error reduction through improved reliability and data quality checks. Has also built Django-based REST APIs with caching/pagination and strong versioning practices, and operated external data collection/web scraping pipelines with anti-bot measures, monitoring, retries, and idempotent backfills.”

“Full-stack engineer with strong AI systems and B2B SaaS experience across BrightOps, Zapier, Nordstrom, and Calendly. They’ve owned architecture for an AI-powered tutoring platform, improved retrieval quality with a hybrid vector-plus-keyword approach, and built Go services processing over 1 million student events per day. Particularly compelling for teams building data-intensive, reliability-critical products with LLM, workflow automation, or compliance-oriented use cases.”

“Built and shipped customer-facing AI systems in banking, including an AI fraud support workflow and virtual assistant at Citi/Citibank that handled over 1 million conversations per month. Combines full-stack engineering, LLM/RAG architecture, and strong compliance-minded design with PII masking, audit logging, confidence thresholds, and human escalation for regulated environments.”

“Backend/data engineer with production experience building credit/fraud enrichment services and checkout pipelines on AWS (EKS + Lambda) using FastAPI, Kafka, Postgres, and Redis, with a strong focus on reliability patterns (timeouts/retries/circuit breakers) and observability. Has also built AWS Glue/PySpark ETL into S3/Redshift with schema evolution and data quality controls, and modernized legacy credit decisioning into Java/Node microservices with parallel-run parity validation and feature-flag rollouts.”