Akash Dwivedi

Engineering Manager

Hyderābād, Telangana, India

Since April 27, 2026

About

I worked as Senior Artificial Engineer with expertise in Generative AI, Agentic AI, and Advanced Systems for more than four years. I am IIT Bombay pass out in 2022. I am equipped with experience of handling of team which worked in Data Science and AI role especially in developing LLM-driven applications using advanced AI methods, different frameworks, and state estimation strategies to build the intelligent applications. I am Passionate about integrating AI innovations in the various applications to deliver the best.

Skills

Full-stackAI EngineersDevOpsPythonAPI IntegrationDocker / KubernetesLeadershipInnovation ManagementCiCdAgentic EngineeringAgentic AiGenerative AiMachine LearningData science

Key Strengths

Deep expertise in Generative AI, Agentic AI, LLM-driven applications, and RAG architectures, demonstrated through production deployments and project work.
Strong MLOps and deployment skills, including Docker, Kubernetes, OpenShift, and Azure ML, indicating capability in scalable AI system delivery.
Experience as a Full Stack Engineer, leading end-to-end development of AI applications, showcasing a comprehensive understanding of the software development lifecycle.
Proficiency in multi-agent orchestration frameworks (LangGraph, CrewAI, AutoGen), critical for complex AI system design.
Solid academic background with a Masters in Aerospace Engineering from IIT Bombay, providing a strong analytical foundation.
Experience with production-grade system integration using technologies like FastAPI, RabbitMQ, MongoDB, and Azure Blob Storage, ensuring robust and scalable solutions.

Cultural & Operational Fit

Cultural Fit Analysis

The psychometric test score of 0 indicates a complete lack of data regarding the candidate's cultural fit, including work attitude, stress handling, and team collaboration. This is a significant gap for evaluating suitability for an Engineering Manager position.

Soft Skills & Operational Fit

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Key Strengths

Deep expertise in Generative AI, Agentic AI, LLM-driven applications, and RAG architectures, demonstrated through production deployments and project work.
Strong MLOps and deployment skills, including Docker, Kubernetes, OpenShift, and Azure ML, indicating capability in scalable AI system delivery.
Experience as a Full Stack Engineer, leading end-to-end development of AI applications, showcasing a comprehensive understanding of the software development lifecycle.
Proficiency in multi-agent orchestration frameworks (LangGraph, CrewAI, AutoGen), critical for complex AI system design.
Solid academic background with a Masters in Aerospace Engineering from IIT Bombay, providing a strong analytical foundation.
Experience with production-grade system integration using technologies like FastAPI, RabbitMQ, MongoDB, and Azure Blob Storage, ensuring robust and scalable solutions.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit