Pre-screened and vetted.
Director-level Head of Technology specializing in e-commerce platforms and digital transformation
“B2B product builder with prior experience taking products from 0-1 and scaling to revenue; previously implemented e-commerce search and turned it into a monetized paid-results/bidding platform requiring architectural changes and GTM alignment. Now exploring a startup idea focused on retention and upsell for B2B companies, targeting the underserved long-tail partner segment and already validating the gap with industry leaders and POC conversations.”
Director-level Engineering Leader specializing in scalable SaaS, cloud, and embedded systems
“Startup-experienced builder exploring an ambitious “internet 2.0” concept: a decentralized wireless mesh network using custom hardware nodes, with a security-first communications goal. Has thought through adoption mechanics via at-cost node distribution, usage-based crypto incentives, and an AR area-control game to drive network growth; also brings practical insight into what VCs value from working at startups including one owned by a PE firm.”
Mid-Level Software Engineer specializing in distributed systems and cloud microservices
“Built and productionized a RAG-based semantic search system for video-derived data, focusing on measurable success metrics (p95 latency, reliability, cost/request) and strong observability (prompt versions, retrieved docs, tool calls, token usage). Experienced in diagnosing real-time issues in LLM/agentic workflows and in supporting go-to-market efforts through tailored technical demos, rapid POCs, and post-close onboarding.”
Mid-level Full-Stack Java Developer specializing in FinTech and Healthcare
“Backend/platform engineer in fintech/payments (NexaBank/NextBank/Nexon Bank) who has built Kafka-orchestrated Java/Spring Boot microservices around a PostgreSQL double-entry ledger. Led production-critical reliability work preventing duplicate payment postings via idempotency and offset sequencing fixes, and shipped real-time ML fraud scoring (Python model API + Redis caching) with rigorous evaluation/monitoring (Prometheus) and workflow automation for dispute resolution.”
Mid-level Software/Data Engineer specializing in cloud ETL pipelines and data infrastructure
“Backend/data engineer who built a production analytics data service (Python/FastAPI on AWS/Postgres with PySpark ETL) handling millions of records per day and drove major latency improvements (10–15s to <2s) via indexing, Redis caching, and shifting aggregations into ETL. Also shipped an LLM-based natural-language-to-SQL assistant end-to-end with strong guardrails (schema restrictions, read-only validation, RBAC, masking) and designed a multi-step agent workflow with verification and fallback logic.”
Entry-level Full-Stack Engineer specializing in AI and distributed systems
“Full-stack engineer who built an AI-based inventory/procurement query system at Botlily/Botlerly using Flask and Google Sheets as a live knowledge base, overcoming Sheets latency with caching and structured in-memory models. Demonstrated strong LLM product engineering (40% accuracy improvement via preprocessing/prompting) and customer-driven iteration with bar/restaurant owners, evolving the tool into a more comprehensive inventory management and forecasting solution.”
Junior AI Engineer specializing in machine learning systems
“Engineer with hands-on experience building adaptive assessment and LMS-style platforms across React/TypeScript, edge/serverless backends, and Postgres, with strong evidence of cross-layer debugging and performance optimization. Also brings ML product experience from a small-team internship, where they shipped a CatBoost-powered investor demo under ambiguity and created reusable inference infrastructure.”
Entry-level Software Engineer specializing in AI, data engineering, and cloud DevOps
“Product-minded full-stack engineer with strong React/TypeScript, serverless AWS, and Postgres depth, highlighted by owning real-time personalization and onboarding experiences at mParticle. Stands out for combining deep performance debugging with measurable product impact—improving activation by 28%, reducing time-to-insights by 35%, and building reusable internal platform primitives adopted by 12 teams.”
Executive software architect specializing in AI, Azure, and enterprise platforms
“Founder of NeuroCoreTech, an AI startup that has generated about $70K in under a year while building products including an interactive story platform, spam detection, and custom AI solutions. Brings startup experience dating back to 2009, exposure to $130M+ in fundraising, and a US patent, with a clear focus on revenue-first, privacy-conscious AI for PII/HIPAA-sensitive customers.”
Mid-level Full-Stack Developer specializing in cloud-native microservices and web apps
Mid-Level Full-Stack Software Engineer specializing in Java/Spring Boot and AWS
Junior Full-Stack Software Engineer specializing in web apps and data-driven products
Intern Data Analyst and Software Engineer specializing in AI/ML and data platforms
Junior AI Engineer specializing in LLM agents and computer vision
Intern Software Engineer specializing in AI/ML and cloud data systems
Intern Full-Stack Software Engineer specializing in web apps and edge ML
Senior Software Engineer specializing in AI, distributed systems, and computer vision
Senior Full-Stack Software Engineer specializing in Python, APIs, web scraping, and React
Junior Data Engineer specializing in IoT analytics and AWS data pipelines
Mid-level Backend & AI Engineer specializing in LLM apps and scalable APIs
Mid-level Full-Stack Software Engineer specializing in cloud-native microservices
Mid-Level Full-Stack Software Engineer specializing in FinTech and cloud-native microservices