Teams at Tkxel

Provides technical leadership for enterprise AI initiatives by defining AI/ML architecture, solution patterns, MLOps practices, and production deployment strategies. Designs scalable LLM, RAG, AI agent, and traditional ML solutions across cloud, on-premises, and hybrid environments. Guides model serving, monitoring, versioning, retraining, security, and lifecycle management while mentoring engineering and data science teams and evaluating AI technologies.

Drives revenue by sourcing and qualifying leads, supporting the full sales cycle, building prospective-client relationships, preparing proposals and presentations, coordinating with internal teams, and maintaining accurate CRM records.

Provides hands-on architecture leadership for scalable software solutions. Guides engineering teams, develops prototypes, resolves technical disagreements, translates business objectives into technology strategies, and defines architecture standards and principles. Collaborates with product, development, QA, and DevOps teams while participating in development as needed. Designs cloud-based systems using AWS and Azure, microservices, APIs, databases, Kubernetes, Docker, Redis, Elasticsearch, and SQS.