.png){kind=logo}
Vetted SQLAlchemy Professionals
Pre-screened and vetted.
Mid-level Full-Stack Engineer specializing in cloud-native microservices and GenAI
Mid-level Python backend engineer specializing in AI workflow and cloud integrations
Senior Full-Stack & AI Engineer specializing in Python, React, and LLM/RAG systems
Mid-Level Full-Stack Software Engineer specializing in cloud integrations and real-time systems
Junior Full-Stack Software Engineer specializing in cloud-native healthcare applications
Junior Full-Stack Developer specializing in cloud apps and LLM-powered systems
Senior Full-Stack Software Engineer specializing in Python/Django, React, and AWS
Senior Software Developer specializing in LLM prompt engineering and RAG systems
Junior Marketing Operations professional specializing in content, campaigns, and data tools
Mid-level Generative AI Engineer specializing in RAG systems and AI-powered education tools
Senior Full-Stack & AI Engineer specializing in FinTech and Healthcare
Senior Full-Stack Engineer specializing in Python, React, and cloud-native web platforms
Senior Full-Stack Software Engineer specializing in AI/LLM-powered web applications
Senior Full-Stack Engineer specializing in Python back-end systems and scalable web apps
Samuel Braude
Junior Computer Science student specializing in robotics, ML, and quantum computing research
“Hands-on engineer who has taken an LSTM Bitcoin forecasting model from notebook to a production-grade, monitored API (Docker/Gunicorn/Nginx, Prometheus/Grafana, blue-green rollback) delivering 99.9% availability and ~110–120ms p95 latency. Also built an RFID self-checkout prototype spanning Raspberry Pi + firmware + networking, using deep instrumentation to eliminate double-charges/timeouts (<0.1%) and reduce checkout time ~20% through idempotency, debounce logic, and hardware fixes.”
Binit Karki
Junior Full-Stack Engineer specializing in AI-powered web applications
“Built and owned the core execution pipeline for Drona, an AI code grading platform, spanning Next.js frontend, real-time WebSocket updates, Celery/Redis async processing, Docker sandboxing, and PostgreSQL persistence. Particularly strong in backend reliability and architecture, with concrete wins including reducing API response time from about 5 seconds to 200 ms and eliminating silent job failures in production.”
Vaibhavi Madhav Deshpande
Mid-level AI Engineer specializing in LLM agents, RAG, and data pipelines
“Built and productionized LLM-powered workflows that generate contextual insights from structured financial data, including prompt/retrieval design, data standardization, and reliability controls like rate limiting and batching. Also diagnosed and fixed real-time failures in an automated order validation system using logs/metrics, staging reproduction, edge-case handling, retries, and alerting, while supporting sales/customer teams with demos, scripts, and FAQs to drive adoption.”
Yassin Benelhajlahsen
Intern Full-Stack Software Engineer specializing in Healthcare IT
“Student full-stack builder shipping real products: a mobile app (Sirat) where they delivered end-to-end theme settings with testing and fast post-launch fixes, and a sports web app (Scorva) that generates AI game summaries from game stats with Postgres-backed caching to control LLM costs. Available for full-time work starting June 2026 and targeting $95k–$110k.”
Pavan Sai Reddy Pendry
Junior AI/ML Engineer specializing in GenAI, RAG, and full-stack ML systems
“Built a university campus assistant chatbot (BabyJ/WWJ) using RAG and agentic routing with a FastAPI + React stack and JWT auth, focusing heavily on production concerns like latency and reliability. Uses techniques like speculative prefetching, smart intent routing, and rigorous eval/testing (golden sets, regression, edge cases) while collaborating closely with campus admin/advising teams to iterate based on real user feedback.”