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Vetted Keras Professionals
Pre-screened and vetted.
Karthikeyan Subramanian
Junior Software Engineer specializing in distributed systems and machine learning
“Google backend engineer with strong experience in large-scale identity, membership, and access-control systems. Notable work includes reconciling customer IDs across 2B+ roster records and leading a 0-to-1 Drive sharing feature to classify external users as crossover members, with a strong emphasis on correctness, rollout safety, and low-latency service design.”
Sabrish Kumar Pradeep Kumar
Mid-Level Software Engineer specializing in data pipelines, observability, and analytics
“Meta engineer who improved a critical revenue estimation dataset pipeline that was arriving ~6 days late—diagnosed via raw logs/lineage, redesigned legacy scans to only process the needed window, and shipped validation plus freshness/lag dashboards. Delivered ~50% latency reduction (to ~3 days) and regained adoption by running old/new pipelines in parallel with gated cutover and evidence-based customer communication. Applies incident-response rigor to real-time LLM/agentic workflow debugging and regularly runs developer demos/workshops.”
Hongsun Kim
Mid-level software engineer specializing in cloud, graph systems, and quantitative analytics
“Front-end/product engineer with strong financial-domain experience, including browser-based interfaces for retail planning, sales forecasting, and high-throughput trading data. Stands out for combining UI engineering with machine learning, time-series prediction, browser performance optimization, and functional programming across tools like React, TypeScript, Elm, OCaml, and Scala.”
Aditya Sawant
Mid-level Software Development Engineer specializing in robotics and cloud-based device management
“Amazon Robotics engineer who deployed and scaled the Lumos camera-based package scanning work cell across EU sort centers (100+ work cells in 5+ sites), enabling remote launches via detailed runbooks and troubleshooting. Strong in AWS IoT/edge systems, with hands-on incident recovery (restored 34 down work cells) and secure multi-compute certificate provisioning using IoT Jobs, ACM/CA, and custom roles; delivered ~75% per-cell cost reduction vs Cognex-based approach.”
Senior Software Engineer specializing in cloud-native SaaS and event-driven microservices
Junior Software Engineer specializing in cloud infrastructure and automation testing
Mid-level Data Scientist specializing in NLP, MLOps, and semiconductor manufacturing analytics
Mid-level Machine Learning Engineer specializing in search ranking and NLP
Mid-level Machine Learning Engineer specializing in MLOps and cloud-native ML systems
Senior Full-Stack & AI/ML Engineer specializing in LLM and cloud-native platforms
Staff Full-Stack Engineer specializing in cloud microservices and AI-enabled platforms
Senior Machine Learning & GenAI Engineer specializing in LLM systems and data pipelines
Mid-level Machine Learning Engineer specializing in LLMs, ranking, and scalable ML systems
Mid-level AI/ML Engineer specializing in LLM fine-tuning, RAG, and MLOps
Principal Data Scientist specializing in AI and quantitative investment strategies
Senior Software Engineer specializing in cloud platforms for healthcare and e-commerce
Mid-level Machine Learning Engineer specializing in real-time recommender systems and MLOps
Senior Software Engineer specializing in cloud platforms, data pipelines, and ML
Mid-level AI/ML Engineer specializing in RAG, NLP, and MLOps
Mid AI/ML Engineer specializing in LLMs, RAG, and multimodal systems
Mid-level Software Engineer specializing in FinTech backend systems