Manoj Kumar

AI Researcher

Hyderabad, Telangana, India3 yrs 5 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Proven track record in AI/ML platform delivery
Expert in cloud-native infrastructure automation
Significant improvements in user satisfaction metrics

Stackforce AI infers this person is a skilled AI and Cloud Infrastructure Engineer with a focus on enterprise solutions.

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Skills

Core Skills

Large Language Models (llm)Conversational AiCloud AutomationInfrastructure As Code (iac)

Other Skills

AI AgentsMicroservicesAmazon Web Services (AWS)Natural Language Processing (NLP)Bot frameworksLarge Language Model Operations (LLMOps)MLOpsLLaMALangChainMachine LearningArtificial Intelligence (AI)Microsoft AzureAzure DevOps ServerAzure DevOps ServicesData Engineering

Experience

3 yrs 5 mos

Total Experience

1 yr 8 mos

Average Tenure

Current Experience

Circuitry.ai

Lead AI Engineer

Jul 2024 – Dec 2025 · 1 yr 5 mos · Hyderabad, Telangana, India · On-site

Senior AI Engineer and Conversational AI Lead with over 3 years of experience delivering secure, scalable AI/ML platforms across AWS and Azure. Proven track record of:
30%+ improvement in retrieval precision and 25%+ increase in user satisfaction for a production-grade RAG chatbot at Circuitry.ai.
20% reduction in Azure data pipeline costs and 40% faster infrastructure deployments via Terraform automation.
Designed a dynamic abstraction layer for AI agents, enabling domain-specific automation intelligence across scalable agent workflows.
Full-lifecycle ownership of cloud-native systems—from architecture, IaC, and CI/CD to observability and security.
Expert in deploying Retrieval-Augmented Generation (RAG) pipelines and Large Language Models (LLMs) using OpenAI, Hugging Face, and Autogen. Adept at building multi-agent conversational frameworks, containerized/serverless architectures, and enterprise-grade DevOps automation.

AI AgentsLarge Language Models (LLM)MicroservicesConversational AIAmazon Web Services (AWS)Natural Language Processing (NLP)+23

Cloudbuilders inc

DevOps Engineer

Jun 2022 – Jun 2024 · 2 yrs · Hyderabad, Telangana, India · On-site

Engineered and automated cloud-native infrastructure across Azure and AWS for large-scale enterprise clients. Led the design of scalable, secure deployments using Terraform, AWS CDK, and Pulumi, reducing provisioning time by 40% for services like Azure Synapse, Logic Apps, and Key Vault. Developed Python-based automation scripts for data migration and workflow integration, including Salesforce pipelines and AI/ML-ready environments. Supported AI use cases with cloud-optimized architecture for analytics platforms, improving performance and reliability. Implemented CI/CD pipelines with Azure DevOps and GitHub Actions, and ensured production-grade monitoring using Microsoft Sentinel and Log Analytics.
Terraform · AWS CDK · Pulumi · Python · Azure DevOps · Azure Synapse · Logic Apps · GitHub Actions · CI/CD · Infrastructure as Code (IaC) · Cloud Automation · Data Integration · Monitoring & Security · Salesforce · AI/ML Infrastructure

PulumiMicroservicesAmazon Web Services (AWS)Azure DevOpsPythonCI/CD+4