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Vetted Software Engineers in New York
Pre-screened and vetted in New York.
Executive Engineering Leader specializing in AI and Financial Services platforms
Senior Full-Stack Engineer specializing in cloud-native microservices and AI/LLM integrations
Mid-level Full-Stack Developer specializing in Java Spring Boot microservices
Senior Backend/Full-Stack Engineer specializing in distributed systems and event-driven APIs
Senior Full-Stack Engineer specializing in Python, React, and AI-powered cloud applications
Executive Product & Technology Leader specializing in SaaS, FinTech, and Media & Entertainment
Mid-level Data Scientist/ML Engineer specializing in LLMs, NLP, and recommender systems
Joseph Jang
Junior Software Engineer specializing in cloud infrastructure and billing systems
“Full-stack product engineer who built a semantic word game end-to-end across web and mobile, including a custom ML-based scoring pipeline that replaced an expensive third-party API. Also has experience shipping real-time social learning features at BU Spark, with strong instincts around product ownership, UX polish, and pragmatic infrastructure choices.”
Yash Jajoo
Senior Software Engineer specializing in AI and FinTech platforms
“Built a production LLM pipeline at Walter AI that scans massive user inboxes, identifies financial newsletters, and extracts trading strategies into structured JSON for downstream paper-trading workflows. Stands out for combining agent architecture with strong production discipline—cutting scan time from 20 to 5 minutes, reducing LLM costs by 90%, and achieving 3-second P99 latency while handling messy, inconsistent email data at scale.”
Mid-level Python Full-Stack Developer specializing in FinTech and real-time data/ML systems
Mid-level Technical Product Manager and R&D Software Engineer specializing in AI products
Staff-level Software Engineer specializing in AI, data platforms, and cloud infrastructure
Mid-Level Full-Stack Software Engineer specializing in Java/Spring Boot and React/Angular
Senior Full-Stack Engineer specializing in React and micro-frontends
Mid-level Full-Stack & AI Backend Engineer specializing in LLM/RAG systems
Mid-level Backend Engineer specializing in microservices and event-driven systems
Mid-level Robotics & AI Researcher specializing in embodied AI and human-robot interaction
Vignesh Shanmugasundaram
Junior Software Engineer specializing in full-stack development and applied ML
“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.”
Aditi Chowdhuri
Mid-level Software Engineer specializing in full-stack development and AI
“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.”
Sarthak Gupta
Mid-level AI/ML Engineer specializing in LLMs, NLP, and real-time AI systems
“Backend engineer who built a real-time pipeline for recording, transcribing, and analyzing audio from 400+ news radio stations, scaling Whisper on an HPC cluster with 7 H100 GPUs. Has strong performance optimization experience (30% latency reduction via SQL/query design; 50% DB call reduction via Redis caching) and has implemented region-based data isolation and PII protections in a regulated environment (JP Morgan Chase).”
Paiman Nodoushani
Executive CTO specializing in AI-powered transformation for enterprise SaaS
“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.”
Shaleen Srivastava
Junior Software Engineer specializing in cloud infrastructure and AI automation
“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.”