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Vetted Structured Logging Professionals
Pre-screened and vetted.
Junior Software Engineer specializing in real-time telemetry and data-driven platforms
Senior Software Engineer specializing in Python microservices and cloud-native data platforms
Mid-level Machine Learning Engineer specializing in GenAI and cloud-native ML systems
Senior Software Engineer specializing in Python microservices and cloud data platforms
Intern Software Engineer specializing in full-stack, data engineering, and Generative AI
Senior Full-Stack Engineer specializing in backend microservices, AWS, and SaaS/Healthcare systems
Mid-level Software Development Engineer specializing in distributed systems and data platforms
Mid-level Data Scientist specializing in Healthcare ML and Generative AI
Mid-level Full-Stack Developer specializing in AI-enabled FinTech applications
Mid-level Backend Engineer specializing in Java/Spring microservices on AWS
Senior Full-Stack Engineer specializing in scalable web platforms and e-commerce
Mid-Level Full-Stack Software Engineer specializing in distributed systems and FinTech
Junior Backend Engineer specializing in distributed systems and platform reliability
Senior Full-Stack Software Engineer specializing in cloud microservices and data platforms
Mid-level Backend Python Developer specializing in APIs, ETL, and transaction processing
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).”
Mayukha Nuguri
Mid-level Technical Support Engineer specializing in enterprise SaaS and cloud platforms
“Customer-facing platform support professional focused on application security and reliability for SaaS integrations, with hands-on experience troubleshooting API auth failures and data update issues using Linux/app/DB logs, SQL, and monitoring. Demonstrates strong security fundamentals (least privilege, TLS/access controls, credential rotation) and can design secure AWS agent integrations while also supporting Azure containerized REST API deployments via CI/CD.”
Rushabh Dhoke
Mid-level Robotics/Mechatronics Engineer specializing in ROS 2, SLAM, and sim-to-real autonomy
“Robotics software engineer focused on sim-to-real deployment: built an Isaac Sim/Isaac Lab PPO training pipeline with domain randomization for vision-conditioned quadruped locomotion and integrated a RealSense D435i into a ROS2 stack on hardware. Also worked on an autonomous surface vessel, standardizing ROS2 interfaces across Jetson, microcontroller, GPS/IMU and motor controllers, using structured logging/replay to debug real-time oscillations and improve path tracking.”
VamshiKrishna Challa
Mid-level Data Scientist specializing in industrial IoT, predictive analytics, and generative AI
“ML/NLP engineer with Industrial IoT experience who built an end-to-end anomaly detection and GenAI explanation system: AWS (S3, PySpark, EC2/Lambda) pipelines feeding dashboards, plus transformer-embedding vector search to connect anomalies to noisy maintenance notes and past events. Demonstrated measurable impact (15% lift in defect detection; ~35% reduction in manual review; 35% fewer preprocessing errors) and strong productionization practices (orchestration, monitoring, rollback, data-quality controls).”
Damon Summers
Senior Backend Software Engineer specializing in AWS cloud-native data platforms
“AWS-focused Python backend/data engineer who builds production analytics APIs and ETL pipelines using API Gateway, Lambda, Step Functions, ECS, Glue, S3, and RDS. Strong in operational reliability and performance tuning (including SQL indexing/partitioning) and has modernized legacy SAS statistical processing into validated Python services with phased rollouts and stakeholder sign-off.”