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Vetted SQLAlchemy Professionals
Pre-screened and vetted.
Staff Software Engineer specializing in AI/ML and data engineering for healthcare automation
Mid-level Software Engineer specializing in Python, ML/LLM systems, and scalable microservices
Senior Software Engineer specializing in scalable backend microservices and cloud platforms
Staff Full-Stack & AI Engineer specializing in LLM platforms and scalable cloud systems
Junior Software Engineer specializing in full-stack web and data platforms
Senior Full-Stack Engineer specializing in AI/GenAI and cloud-native platforms
Mid-level Software Engineer specializing in real-time backend systems and FinTech payments
Senior Software Engineer specializing in cloud platforms, data pipelines, and ML
Mid-Level Software Engineer specializing in cloud-native backend systems and FinTech
Director-level Backend & Data Engineering Leader specializing in AWS serverless platforms
Senior Full-Stack Engineer specializing in AI-powered SaaS and cloud-native analytics
Senior Full-Stack AI/ML Engineer specializing in cloud data platforms and GenAI
Senior Machine Learning Engineer specializing in GenAI, NLP, and recommendation systems
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.”
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.”
LuYao Chen
Junior Software/ML Engineer specializing in AI systems, cloud infrastructure, and applied research
“Backend/infra-focused engineer with experience spanning Go-based MCP servers for an AI-assisted Kubernetes on-call diagnosis chatbot and a Python/Flask PagerDuty automation integration. Previously at Tesla, optimized high-volume battery test data in PostgreSQL using JSONB, partitioning, and a timestamp normalization pipeline; also built PyTorch PINN training workflows and achieved a 20x speedup via batch vectorization.”
Senior Full-Stack Python Developer specializing in cloud-native RAG and microservices
Mid-level Data/Software Engineer specializing in healthcare and FinTech analytics
Senior Full-Stack Engineer specializing in Healthcare and FinTech platforms
Senior Full-Stack Engineer specializing in AI/ML, LLMs, and RAG systems
Mid-Level Backend Software Engineer specializing in FinTech and cloud-native platforms
Staff Full-Stack Software Engineer specializing in scalable web platforms and cloud infrastructure