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Vetted Audit Logging Professionals
Pre-screened and vetted.
Mid-level AI Engineer specializing in retail personalization and LLM-powered systems
Senior Data Analyst specializing in healthcare, insurance, and financial analytics
Senior Data Analyst specializing in BI, data engineering, and predictive analytics
Mid-level Backend Python Developer specializing in APIs, ETL, and transaction processing
Mid-level Full-Stack Software Engineer specializing in cloud-native FinTech and insurance systems
Staff Full-Stack Engineer specializing in AI agents and cloud platforms
Senior Full-Stack Engineer specializing in healthcare and enterprise web platforms
Senior Full-Stack Software Engineer specializing in cloud-native FinTech and data pipelines
Staff Infrastructure Engineer specializing in security, compliance, and distributed AI systems
Punith Jayaramu
Mid-Level Full-Stack Software Engineer specializing in FinTech and Mortgage systems
“Full-stack engineer with deep AWS serverless and reliability experience in fintech/underwriting systems, including eligibility scoring and dynamic rule deployments. Built and productionized an LLM-powered incident RCA assistant (Bedrock Claude 3 + custom RAG + React) achieving 92% precision and ~75% MTTR reduction, with mature guardrails (evals, drift monitoring, HITL, audit logs) and strong operational rigor (canaries, chaos testing, DLQ remediation).”
Shamala Chandrappa
Mid-level AI Engineer specializing in agentic AI, LLM systems, and healthcare AI
“Healthcare-focused ML/AI engineer who has built production voice agents and clinical question-answering systems end-to-end, from experimentation through deployment, observability, and iteration. Particularly strong in making LLM systems reliable in real workflows via RAG, fine-tuning, guardrails, evaluation pipelines, and shared Python tooling; cites ~20% clinical QA accuracy gains and ~40% faster physician decision turnaround.”
Prudhvi Avula
Senior Full-Stack Software Engineer specializing in Java, React, and distributed systems
“Implementation and AI workflow engineer who has owned customer deployments end-to-end for messaging/integration platforms and also built production-oriented LLM systems. Stands out for combining stakeholder-facing delivery leadership with hands-on experience in Kafka/MongoDB integrations, RAG/agent architectures, and resilient document-processing pipelines with strong validation and fallback controls.”
Sakshi More
Mid-level Full-Stack Software Engineer specializing in backend and AI systems
“Full-stack and AI engineer who has built both user-facing products and production LLM systems, including an AI log-classification and incident-triage platform that cut manual triage by 60%+ and improved routing accuracy by 35%. Also brings cross-functional systems experience from an AI-driven digital twin project spanning HPC, Unity, AR, and large-scale simulation visualization.”
Junior Software Engineer specializing in backend systems, DevOps, and cybersecurity tooling
Mid-level Full-Stack Developer specializing in cloud-native web apps and FinTech
Director of Architecture & Data Engineering specializing in enterprise data platforms
Thanuja Mudududla
Mid-level Software Engineer specializing in full-stack cloud and agentic AI systems
“Backend engineer with hands-on ownership of production systems across maritime tracking, HR tech, and AI-powered document workflows. They combine strong operational instincts with measurable impact—cutting API latency from 10s to 3s, improving query performance by 60%, reducing deployment time by 50%, and driving 70% infrastructure cost savings with serverless design.”
Mid-level Full-Stack Java Developer specializing in cloud-native microservices and React
Junior Software Engineer specializing in cloud, event-driven systems, and applied AI
Junior Full-Stack Software Engineer specializing in cloud-native microservices and data platforms
Senior Software Engineer specializing in AWS serverless, APIs, and data/ETL platforms
Senior Full-Stack Engineer specializing in cloud-native platforms, DevOps, and Kubernetes