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Vetted Observability Professionals
Pre-screened and vetted.
Angel Contreras
Senior Data Scientist specializing in machine learning, NLP, and MLOps
“ML/NLP engineer with experience building production-grade legal-tech and data platforms, including a GPT-4/LangChain contract review system using ElasticSearch embeddings (RAG) deployed on AWS EKS. Strong in entity resolution and scalable batch/streaming pipelines (Kafka/Spark), with measurable impact (70%+ reduction in contract review time) and a focus on monitoring and CI/CD for reliable delivery.”
Soma Meghana Prathipati
Mid-level Machine Learning Engineer specializing in NLP, federated learning, and fraud detection
“ML/robotics engineer with Apple experience who built a computer-vision-driven industrial defect detection system integrating a robotic arm with ROS-based real-time inference on an edge GPU. Drove major performance gains (cut inference time ~60% via quantization + TensorRT) and improved robustness to lighting/material variation, with strong emphasis on production reliability (health checks, watchdogs, observability, CI/CD) and interest in shaping early-stage startup engineering culture.”
Aesha Choksi
Director-level Engineering Leader specializing in Cloud Security and Data Platforms
“Engineering leader in cloud security at SysTech with player-coach experience spanning cross-team data/ownership standardization and reporting platform user-journey improvements. Stays technically deep through observability (SLA/SLOs, dashboards, alerting), rigorous code reviews (including AI-assisted coding), and end-to-end incident ownership in IAM/agentless cloud event collection. Targeting $270K–$300K base plus bonus/equity.”
Sandeep Rohilla
Principal Backend/Platform Engineer specializing in GenAI agent orchestration and LLM pipelines
“LLM-focused engineer/sales-engineering profile with hands-on experience productionizing complex systems: scalable distributed architecture, multi-tenant monitoring, canary/shadow rollouts, and robust fallback strategies. Demonstrated real-time troubleshooting depth (p99 latency spikes traced to DB connection limits causing retry storms) and strong developer-facing communication via RAG workshops and live, customer-specific demos that helped close deals quickly.”
Mid-level Software Engineer specializing in robotics, AI, and full-stack systems
Director-level engineering leader specializing in AI-powered cloud-native SaaS platforms
Senior AI & Data Engineer specializing in LLM agents, RAG, and data platforms
Senior Full-Stack Software Engineer specializing in SaaS, cloud-native systems, and AI/ML
Intern Software Engineer specializing in cloud infrastructure, data pipelines, and distributed systems
Senior Software Engineer specializing in AI platforms for healthcare and industrial time-series ML
Entry-Level Software Engineer specializing in full-stack web and AWS microservices
Mid-level AI/ML Engineer specializing in LLMs, RAG pipelines, and MLOps
Mid-level Machine Learning Engineer specializing in real-time fraud detection and edge AI
Executive Technology Leader (CTO/Principal Engineer) specializing in cloud-native platforms and AI
Mid-level Backend Engineer specializing in distributed systems and cloud infrastructure
Mid-level Software Engineer specializing in FinTech and cloud-native microservices
Executive CIO/CTO specializing in AI-native SaaS, data platforms, and intelligent automation
Senior Software Engineer specializing in cloud-native SaaS and real-time collaboration
Mid-level Backend/Distributed Systems Engineer specializing in cloud observability and data ingestion
Executive Product & Technology Leader specializing in FinTech, AI/ML, Risk & Digital Transformation
Principal Software Architect specializing in high-availability payments systems