Vetted Engineering Professionals in the NYC Metro

Pre-screened and vetted in the NYC Metro.

DM

Mid-Level Full-Stack Software Engineer specializing in Java/Spring Boot and React/Angular

New York, NY4y exp
SpotifyVirginia Tech
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AN

Senior Full-Stack Engineer specializing in React and micro-frontends

New York, NY8y exp
Goldman SachsNYU
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AJ

Mid-level Full-Stack & AI Backend Engineer specializing in LLM/RAG systems

New York, NY5y exp
StripeSyracuse University
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GL

Senior Software Engineer specializing in AI infrastructure and distributed systems

New York City Metropolitan Area, NY5y exp
CrewAIUniversity of Pennsylvania
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AF

Junior Full-Stack Engineer specializing in AI-driven operational automation

New York City, NY2y exp
WalmartPace University
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AS

Senior QA Automation Engineer specializing in web, mobile, and API testing

New York, NY13y exp
ExperianBashkir State University
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VN

Mid-level Backend Engineer specializing in microservices and event-driven systems

NYC, NY3y exp
UberUniversity at Albany
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NN

Mid-level Software Engineer specializing in scalable backend and cloud-native systems

New York, USA5y exp
MetaUniversity at Buffalo
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AU

Senior Software Engineer specializing in FinTech platforms

New York, NY7y exp
ValonCornell University
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Vignesh Shanmugasundaram - Junior Software Engineer specializing in full-stack development and applied ML in New York, NY

Junior Software Engineer specializing in full-stack development and applied ML

New York, NY2y exp
AmazonNYU

Full-stack engineer with experience at Zoho and Amazon who has owned production systems end-to-end, including a monolith-to-microservices migration using Kafka and Cassandra that improved search latency ~25% and increased throughput without data loss. Also built a hackathon project (Buildwise) into a sold product for a construction company (AI-driven document compliance checks) and shipped an IoT-based parking availability MVP in 3 weeks.

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JY

Jiacheng Yin

Screened

Intern software engineer specializing in AI, backend systems, and cloud infrastructure

New York, NY1y exp
Haptag.aiCornell University

Backend/AI systems engineer who has shipped production LLM agents focused on prompt engineering, code generation, and incident-response automation. Stands out for combining strong agent orchestration and reliability engineering with measurable business impact, including 60-70% cost reductions, 45% lower monthly LLM spend, and a 5x increase in developer iteration speed.

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BA

Mid-level Software Engineer specializing in distributed systems and growth platforms

New York, NY4y exp
GoDaddyCornell University

Backend/platform engineer with significant ownership at GoDaddy, where they built a real-time personalization and decisioning system that drove about $7M in annualized revenue and serves roughly 4M requests per day. Also operates as a solo engineer for a global human-rights legal-tech nonprofit, building the full platform and graph-based matching engine for 700+ partner organizations. Brings a strong blend of production backend rigor, platform thinking, and practical AI orchestration.

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AC

Mid-level Software Engineer specializing in full-stack development and AI

New York, NY4y exp
Okada & CompanyColumbia University

Frontend developer/designer who built an in-house real estate dashboard for Okhara & Company, owning the flow from Figma design through React implementation and production iteration. Worked in a small team environment, focused on turning complex backend outputs into usable, polished interfaces with responsive design, PWA support, and performance optimizations.

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Michael Matonte - Senior Backend Engineer specializing in distributed systems and AI-enabled platforms in Jersey City, NJ

Senior Backend Engineer specializing in distributed systems and AI-enabled platforms

Jersey City, NJ7y exp
CitibankUniversity of Texas at Austin

Backend engineer with end-to-end ownership experience in high-stakes environments spanning Citibank and industrial operations. They built an internal banking platform that automated complex entitlement workflows across thousands of business units with an 80% reduction in redundant processing, and they are now applying AI through OpenAI-powered agent workflows with RAG, vector databases, and security controls.

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RG

Ryan Gill

Screened

Staff Full-Stack Engineer specializing in AI platforms and Healthcare IT

New York, NY16y exp
BlossomNYU

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.

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SA

Sakib Ahmed

Screened

Junior Software Engineer specializing in reliability and low-latency trading systems

New York, NY2y exp
Morgan StanleyNYU

Financial systems engineer who built an automated rebalance-day order reporting and analytics tool on kdb+ pipelines, cutting a high-visibility manual process from 2–3 hours to ~2 minutes and expanding it from North America to EMEA/APAC. Also proposed an early production RAG-based incident knowledge assistant trained on ServiceNow postmortems, with guardrails to scope retrieval by application.

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SS

Junior Software Engineer specializing in cloud infrastructure and AI automation

New York, NY2y exp
IBMNorth Carolina State University

IBM engineer who shipped an LLM-powered knowledge transfer platform (Transition Engine) for federal contract handoffs, deployed on a production OpenShift cluster in AWS GovCloud with FedRAMP-aligned compliance and strict data-boundary constraints. Led retrieval strategy, prompt engineering, and production deployment (PostgreSQL/Milvus/Keycloak), driving a reported 50% reduction in contract transition ramp-up time and positioning the tool for revenue-critical federal deals.

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BG

Bhuvan Gowda

Screened

Senior DevOps Engineer specializing in cloud infrastructure and automation

New York City, NY6y exp
IBM

IBM-based cloud and AI engineer with hands-on experience owning Azure deployment workflows end-to-end, including IaC, DevOps automation, and cost/performance optimization. Also built an edge-first hospital event-detection workflow combining vision, LLM orchestration, and privacy-preserving local processing in a Nvidia/Dell hackathon that won first place.

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