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Vetted Keras Professionals
Pre-screened and vetted.
Mid-Level Backend Software Engineer specializing in payments and real-time analytics
Mid-level AI/ML Engineer specializing in Generative AI, LLMs, and scalable inference
Mid-level AI/ML Engineer specializing in LLMs, RAG, and scalable MLOps
Mid-level Applied AI Engineer specializing in LLMs, MLOps, and real-time AI systems
Senior AI/ML Engineer specializing in LLM agents, RAG, and production ML systems
Mid-level Machine Learning Engineer specializing in LLMs, RAG, and MLOps
Abhijay Sai Paladugu
Junior Data Scientist specializing in LLM agents, RAG, and reinforcement learning
“McKinsey practitioner who built and deployed production LLM systems for consultants/clients, including a Power BI-integrated multi-agent chatbot (RAG + text-to-SQL + formatting) with custom Python orchestration, verification loops, and a 100+ case eval set achieving ~95% consistency. Also delivered a taxonomy-mapper agent that standardized inconsistent labeling for C-suite stakeholders, cutting a process from >2 weeks to <30 minutes through demos and business-focused communication.”
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.”
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
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