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Vetted Alerting Professionals
Pre-screened and vetted.
Mid-level Full-Stack Python Developer specializing in cloud-native APIs and React
Mid-level DevOps Engineer specializing in AWS, Kubernetes, and CI/CD automation
Mid-level Data Engineer specializing in reliable data pipelines, metadata enrichment, and APIs
Senior Data Engineer specializing in Spark, Kafka, and Databricks Lakehouse platforms
Junior AI/ML Software Engineer specializing in trustworthy ML and full-stack APIs
Senior Backend Engineer specializing in Python microservices, Kubernetes, and streaming systems
Mid-level Software Development Engineer specializing in cloud-native microservices on AWS
Mid-level Full-Stack .NET Developer specializing in insurance and healthcare systems
Mid-level Site Reliability/DevOps Engineer specializing in multi-cloud, Kubernetes, and observability
Mid-level QA/Systems Analyst specializing in test tooling, observability, and healthcare data migration
Mid-Level Full-Stack Software Engineer specializing in cloud-native backend systems
Mid-level Machine Learning Engineer specializing in Generative AI, NLP, and recommender systems
Senior DevOps & Cloud Engineer specializing in Kubernetes, IaC, and DevSecOps
Senior DevOps Engineer specializing in cloud-native Kubernetes and DevSecOps
Senior Production Application Support Engineer specializing in banking and financial systems
Mid-level Full-Stack Java Developer specializing in cloud microservices and React
Senior DevOps/Site Reliability Engineer specializing in multi-cloud Kubernetes platforms
Nakul Reddy Sarasani
Junior Full-Stack Software Engineer specializing in cloud-native distributed systems
“Software engineer with JPMorgan Chase experience building a real-time operations console backend on Spring Boot/Kafka/Kubernetes and resolving peak-load latency through profiling, indexing, caching, and async processing. Also built and owned an AI-driven digital-archives metadata pipeline during a master’s at UNT using OCR + LLaMA-based prompting with validation, near-human accuracy, and human-in-the-loop guardrails.”
Amit Prajapati
Junior Data Scientist / Software Engineer specializing in data pipelines and applied ML
“Built a production RAG chatbot for Worcester Polytechnic Institute that indexes 500+ webpages using FAISS + Llama 3, with strong grounding/hallucination controls (confidence thresholds and citations). Also has internship experience orchestrating multi-step ETL pipelines with AWS Step Functions and delivered a 30x faster fraud/claims triage workflow at Munich Re using association rules and stakeholder-friendly dashboards.”