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Design and deploy production-grade GenAI and ML solutions on AWS, optimizing cost, security, and performance while embedding reusable patterns into DoiT’s Cloud Intelligence platform.
Design and deploy production-grade GenAI and ML solutions on AWS for enterprise customers, focusing on cost efficiency, reliability, and security while creating reusable patterns and driving product adoption.
Build and optimize multi-agent LLM systems and RAG pipelines for city-scale digital services using Python, FastAPI, and async pipelines.
Lead a team of engineers to design and optimize Google’s AI/ML infrastructure, including model deployment and distributed computing, while aligning technical strategy with business goals.
Build and improve NLP and Generative AI solutions using prompt engineering, fine-tuning, and RAG; evaluate models and datasets.
Build and improve NLP and Generative AI solutions using prompt engineering, fine-tuning, RAG, and vector databases in Python with PyTorch and HuggingFace.
Build and improve NLP and Generative AI solutions using prompt engineering, fine-tuning, RAG, and evaluation frameworks while collaborating with AI Engineering teams.
Build and tune NLP and generative-AI models using prompt engineering, fine-tuning, RAG, and vector databases, then deploy them with Docker and GPU training.
Build and deploy AI-powered cybersecurity agents that autonomously investigate threats using LLMs, tool-calling workflows, and evaluation frameworks.
Build and maintain AI agentic backend systems using Python, LangChain/LangGraph, and vector databases to power autonomous workflows and RAG pipelines for business intelligence.
Lead GenAI and voice/audio ML infrastructure at a healthcare SaaS company, designing scalable platforms so product teams can ship AI-powered features like Call Intelligence and AI Receptionist.
Design and operate scalable data infrastructure for AI model training, migrating legacy systems and ensuring high-performance compute access across cloud and on-premise environments.
Build and deploy AI solutions (LLMs, RAG, ML) to optimize Safran Aircraft Engines’ customer support and service operations, translating business needs into robust, explainable models.
Build and maintain the data infrastructure that powers Mistral AI’s large-scale model training and fine-tuning, including compute fleets, storage, and secure MLOps pipelines.
Build and deploy AI solutions (LLMs, RAG, ML) to improve customer support and service operations, translating business needs into robust, explainable models and driving adoption across teams.
Build and deploy AI applications using large language models and data pipelines in small teams, occasionally leading projects and advising clients on AI solutions.
DevOps engineer specializing in HPC and GPU acceleration to migrate and optimize high-performance computing applications for an energy-sector client using NVIDIA tech.
DevOps engineer specializing in HPC and GPU acceleration to migrate and optimize scientific applications for NVIDIA-powered HPC infrastructure, using profiling and CI/CD pipelines.
DevOps engineer migrating and optimizing HPC applications on NVIDIA GPU clusters for a climate-tech energy client, using CI/CD and performance tuning.
Senior DevOps engineer builds and scales GPU-powered AKS/EKS clusters for LLM inference and fine-tuning, automates CI/CD pipelines, and implements GenAIOps observability and cost controls.
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