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Vetted SQLAlchemy Professionals
Pre-screened and vetted.
Pujitha Sangaraju
Mid-Level Embedded Software Engineer specializing in real-time firmware and industrial automation
“Robotics software engineer focused on reliability in real-time sensor pipelines and ROS/ROS2 integration, with hands-on experience hardening systems against noisy data, dropouts, and network variability. Uses ROS introspection tools plus simulation (Gazebo/Webots) to diagnose latency and stability issues before hardware deployment, and supports repeatable rollouts via Docker and CI/CD.”
Akarshika Tripathi
Mid-level Python Developer specializing in backend microservices and distributed systems
“Python backend developer from Larix Technologies who built and scaled microservice APIs for an omnichannel messaging SaaS (WhatsApp/Instagram/Facebook) and led production performance fixes during peak traffic, cutting webhook latency ~50%. Also shipped applied AI products end-to-end: a RAG-based PDF assistant (LangChain + Mixtral via Groq + React) and a BI agent that plans/executes/verifies multi-step analytics with strong guardrails and auditability.”
Farrah Ellis
Senior Software Engineer specializing in backend systems, cloud, and AI applications
“Engineer with growth-stage startup experience on a 6-7 person cross-functional team, working across backend, data, and frontend systems. They’ve driven concrete improvements to high-volume data ingestion pipelines through batch processing and database optimization, and have built B2B SaaS data platforms for enterprise customers with multi-tenant support, integrations, and scalable backend services in Python and Go.”
Entry-level Data Scientist and Software Engineer specializing in AI and data pipelines
Mid-Level Backend Engineer specializing in Python/Django and AWS Serverless
Mid-Level Backend/API Engineer specializing in AWS and healthcare/first-responder systems
Junior Full-Stack Software Engineer specializing in web applications and cloud deployment
Junior Full-Stack Software Engineer specializing in backend APIs and data pipelines
Mid-level Software Engineer specializing in IoT, robotics, and secure edge-to-cloud systems
Mid-Level Software Engineer specializing in Python/TypeScript APIs and LLM workflows
Mid-level GenAI Engineer specializing in AI agents and FinTech platforms
Mid-level Software Systems Engineer specializing in cloud infrastructure and AI applications
Mid-level Software Engineer specializing in full-stack web and cloud systems
Junior Full-Stack Developer specializing in web applications and AI-enabled platforms
Mid-level Back-End Engineer specializing in scalable APIs and multi-tenant systems
Mid-level Full-Stack AI Engineer specializing in agentic AI and RAG systems
“Full-stack AI engineer who has built and deployed multiple end-to-end LLM products, including an AI interview assistant, a multi-agent market research platform, and a policy document explainer. Particularly strong in productionizing agentic workflows, integrating tools like Whisper, Tavus, LiveKit, CrewAI, and LangGraph, and hardening messy real-world AI/document pipelines with validation, memory isolation, and fallback handling.”
Jeevan Kumar
Mid-level Full-Stack AI Engineer specializing in LLM systems and RAG
“Built and shipped a production "Campaign AI" multi-agent system (LangGraph) that personalizes B2B outbound emails at scale using Apollo.io prospect data, clustering-based segmentation, and 21 persona variants. Notably uncovered that high click rates were largely email security scanners and created a validated bot-detection/scoring pipeline (timestamps/IP/user-agent/click patterns), bringing reported engagement down from ~40% to a trusted 5–8% that aligned with real conversions.”