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Vetted PostgreSQL Professionals
Pre-screened and vetted.
Principal/Senior Full-Stack Software Engineer specializing in scalable cloud platforms
Staff Full-Stack Engineer specializing in data engineering and real-time event platforms
Senior Full-Stack Engineer specializing in cloud platforms, AI/ML, and blockchain
Senior Full-Stack Engineer specializing in cloud, real-time data, and web platforms
Senior Engineering Leader specializing in FinTech infrastructure and cryptographic security
Senior Software Engineer specializing in cloud platforms, healthcare imaging, and scalable APIs
Senior Software Engineer specializing in healthcare imaging and FinTech systems
Staff Full-Stack & Platform Engineer specializing in cloud-native distributed systems
Senior Full-Stack Software Engineer specializing in Telehealth and FinTech
Senior Software Engineer specializing in FinTech payments and scalable platforms
Director-level Product-Led CTO specializing in AI/MarTech, retail media, and omnichannel platforms
Mid-level Software Engineer specializing in Python, distributed systems, and AI backend services
Director-level Software Development Manager specializing in AWS infrastructure and distributed systems
Staff Software Engineer specializing in Healthcare SaaS and real-time systems
Mid-Level Software Development Engineer specializing in AWS serverless and ML/GenAI
Staff Software Engineer specializing in FinTech and scalable distributed systems
Senior Full-Stack Software Engineer specializing in large-scale streaming platforms
Mid-level Machine Learning Engineer specializing in generative AI, NLP, and MLOps
Senior DevOps/SRE Engineer specializing in cloud infrastructure and CI/CD automation
Manaswini Gogineni
Mid-Level Software Engineer specializing in cloud infrastructure and full-stack web development
“Backend engineer at Electric Hydrogen who built a serverless device-log ingestion and processing platform in Python/Flask, scaling throughput (4x peak ingestion) while keeping sub-300ms API latency. Strong in Postgres/SQLAlchemy performance (partitioning, materialized views) and production ML integration (ONNX model served via FastAPI microservice with async batch inference, Redis feature caching, and drift monitoring via S3/Lambda). Experienced designing secure multi-tenant systems with schema-per-tenant isolation and KMS-backed encryption.”
Qianfan Luo
Junior Software Engineer specializing in backend systems and AI/ML pipelines
“Robotics-focused engineer with ROS 2 experience who has built and debugged real-time, distributed control/orchestration systems under production-like latency and safety constraints. Led platform changes at Persona for a real-time verification orchestration system using deterministic state machines and async workers, and has hands-on experience stabilizing multi-robot navigation/SLAM behavior using rosbag, RViz, and stress testing in simulation (Gazebo).”
Rashi Agrawal
Mid-Level Full-Stack Software Engineer specializing in distributed systems and cloud-native microservices
“Backend engineer (4 years) who built an end-to-end Python backend for a patent-pending in-car massager/heater system, including GraphQL data modeling and Bluetooth integration with an ESP32 microcontroller (reverse engineered a niche protocol). Also has strong platform experience: on-prem Kubernetes/CI-CD (Jenkins/GitLab, exploring ArgoCD GitOps), Terraform-based infra workflows, a RabbitMQ messaging library used across microservices, and an on-prem migration of ~30 critical applications with rollback/parallel-run strategy.”
Bhavani Shekhawat
Engineering Manager specializing in AI/ML platforms and 0→1 product delivery
“Player-coach engineer/lead on a high-scale research integrity platform ("Lighthouse") that flags fraud/manipulation signals across ~3M academic manuscripts per year. Owns architecture decisions (ADRs), implements across Go/Java/React services, and introduced NLP (SciBERT embeddings + human-in-the-loop) to assess out-of-context citations while also handling production incidents with a data-consistency-first approach.”