Pre-screened and vetted.
Senior Software Engineer specializing in Python, AI/ML, and AWS cloud-native systems
Senior Full-Stack Software Engineer specializing in web/mobile platforms and cloud microservices
Senior Full-Stack Software Engineer specializing in SaaS, cloud, and AI/LLM applications
Junior Software Engineer specializing in backend systems and cloud messaging
Senior Full-Stack Software Engineer specializing in scalable microservices and cloud platforms
Mid-level Full-Stack Developer specializing in React, Node.js, and Spring Boot
Mid-Level Full-Stack Python Engineer specializing in AI-powered web apps and cloud-native systems
Mid-Level Python Developer specializing in Django, data pipelines, and automation
Entry-Level Software Engineer specializing in backend systems and cloud messaging
Mid-level Full-Stack Python Developer specializing in cloud-native banking applications
“Backend engineer who built a low-latency real-time transaction API in Python/Flask, with strong depth in PostgreSQL/SQLAlchemy performance tuning (time-based partitioning, indexing, connection pooling). Has production experience integrating ML scoring and OpenAI-style APIs with safety/latency controls, and designing multi-tenant isolation strategies including per-tenant pooling/caching and premium-tenant isolation.”
Mid-Level Software Engineer specializing in real-time data pipelines and ML deployment
“Ticketmaster data engineer who built CDC-driven Kafka pipelines feeding Snowflake for analytics and data science teams. Hands-on in production operations—scaled Kafka during sudden playoff-driven transaction spikes and improved monitoring for preemptive scaling. Known for using small-batch experiments and quantitative metrics to align stakeholders and drive cost-saving architecture changes (e.g., buffering to reduce AWS Lambda invocation frequency).”
Mid-level Software Engineer specializing in LLM systems and intelligent search
“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.”
Junior Full-Stack Software Engineer specializing in SaaS and AI-powered web apps
“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.”
Intern Software Engineer specializing in data engineering and AI agent systems
“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.”
Engineering Manager specializing in enterprise SaaS, cloud analytics, and ML-driven systems
“Engineering leader who managed a 20-person cross-functional team building customer-driven software solutions, delivering a 50% reduction in simulation/test lifecycle and securing a long-term strategic SLA. Strong in scalable data ingestion architectures (FastAPI + Kafka + multiprocess workers), operational diagnostics (correlation IDs/centralized logging), and microservice decoupling for analytics/visualization. Active open-source contributor who shipped a NATS bug fix and improved SDK onboarding with automation that cut ramp time by 30%.”
Intern/Junior Software Engineer specializing in ML, networking telemetry, and full-stack web apps
“Backend-focused engineer with hands-on experience modernizing a legacy SNMP/PNM data collection system at CableLabs into a cloud-accessible Kubernetes pipeline, feeding Prometheus-formatted metrics into VictoriaMetrics and visualizing real-time network health in Grafana for 100+ modems. Also built a FastAPI + Supabase appointment booking portal for a clinic with encryption and phone-number-based auth, and has frontend experience debugging S3-based HEIF image rendering issues.”
Junior Full-Stack Developer specializing in cloud-native microservices
Senior Full-Stack Engineer specializing in Python, AI automation, and cloud microservices
Mid-Level Full-Stack Software Engineer specializing in FinTech and cloud-native microservices
Mid-level Full-Stack Developer specializing in Python/Django and React
Senior Full-Stack Engineer specializing in AWS, Ruby on Rails, and JavaScript
Mid-level Java Full-Stack Developer specializing in cloud-native microservices
Senior Software Engineer specializing in cloud-native full-stack and FinTech systems
Senior Software Engineer specializing in cloud-native microservices and FinTech platforms