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Vetted pytest Professionals
Pre-screened and vetted.
Brian Sanders
Senior Backend Engineer specializing in GenAI, LLMs, and scalable data pipelines
“Backend/ML platform engineer from Snapsheet who owned production Python services and data pipelines for insurance claims, including an AI document classification/summarization FastAPI service on ECS/Fargate processing 1M+ documents/year. Strong in AWS infrastructure (Terraform, CI/CD, secrets/IAM, autoscaling), Glue/PySpark ETL with schema evolution controls, and legacy SAS-to-microservices modernization with safe, feature-flagged rollouts and measurable performance wins.”
Christopher Chu
Senior Backend Engineer specializing in distributed systems and cloud microservices
“Backend/data engineer with experience at Nike building high-volume order orchestration and validation APIs using FastAPI microservices on AWS EKS with Kafka, Redis, and Postgres. Strong in production reliability (timeouts/retries/idempotency), GitOps (Argo CD) + Terraform deployments, and data pipelines (AWS Glue/S3), with hands-on incident ownership and legacy modernization into API-driven services.”
Mid-Level Software Engineer specializing in cloud-native backend systems and FinTech
Senior Full-Stack Engineer specializing in scalable web platforms and AI-driven products
Mid-Level Full-Stack Software Engineer specializing in cloud-native microservices
Mid-level AI/ML Engineer specializing in LLMs, RAG, and distributed MLOps
Mid-Level Software Engineer specializing in distributed backend systems and cloud microservices
Senior Full-Stack Software Engineer specializing in scalable web and mobile applications
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
Mid-Level Full-Stack Software Engineer specializing in Python/Java microservices and cloud
Senior Python Developer specializing in AI/ML and cloud-native microservices
Senior Software Engineer specializing in cloud-native distributed systems
Senior Full-Stack Engineer specializing in AI, Web3, and scalable web platforms
Senior QA Automation Engineer specializing in web, mobile, and hardware testing
Staff Full-Stack Engineer specializing in data engineering and real-time event platforms
Senior Software Engineer specializing in healthcare imaging and FinTech systems
Senior Software Engineer specializing in FinTech payments and scalable platforms
Nishitha Thummala
Mid-level AI/ML Engineer specializing in LLMs, RAG, and scalable inference
“Backend/retrieval-focused engineer with production experience at Perplexity building a large-scale real-time Q&A system using retrieval-augmented generation, emphasizing low-latency, high-quality answers through ranking, context optimization, and caching. Also has orchestration experience from both product-facing LLM pipelines and large-scale infrastructure workflows at Meta, and has partnered with non-technical stakeholders to align AI trade-offs with business goals.”
Kenil Tanna
Staff-level Machine Learning Engineer specializing in LLMs and MLOps for Financial Services
“Machine learning/NLP practitioner at J.P. Morgan who led development of a production RAG system and an entity resolution pipeline for complex financial data. Deep hands-on experience with embeddings (Sentence-BERT), vector search (FAISS/pgvector), LLM fine-tuning (LoRA/PEFT), and rigorous evaluation (human-in-the-loop + A/B testing) backed by strong MLOps on AWS (Docker/Kubernetes, MLflow, Prometheus/Datadog).”
Senior Full-Stack Python Developer specializing in cloud-native RAG and microservices
Mid-level Full-Stack Java Engineer specializing in scalable microservices and real-time data systems