Neeraj D.

DevOps Engineer

New Delhi, Delhi, India1 yr 3 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Expert in building scalable AI/ML systems.
Proven track record in MLOps and DevOps.
Innovative problem solver with real-world impact.

Stackforce AI infers this person is a SaaS-focused AI/ML Engineer with strong MLOps and DevOps expertise.

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Skills

Core Skills

MlopsDevopsMachine LearningAi Development

Other Skills

AI AgentsDSPyPythonLLMProblem SolvingVoice agentModel Context Protocol (MCP)LangGraphRetrieval-Augmented Generation (RAG)Distributed SystemsLangChainNginxPandasOpenAI APITerraform

About

I’m an AI/DevOps Engineer focused on building and deploying scalable, production-ready AI/ML systems. My work includes designing autonomous AI agents, shipping LLM-powered products, and owning end-to-end MLOps/DevOps systems. I focus on bridging cutting-edge research with real business impact by delivering systems engineered for reliability, scalability, and long-term operation. I don’t just write code; I ship systems that solve real-world problems and operate reliably in production. Tools & Stack I Work With • Languages & Backend Frameworks: Python, SQL, Flask, FastAPI, Pytest, Celery • MLOps/DevOps/LLMOps: MLflow, DVC, Apache Airflow, Docker, GitHub Actions, NGINX, Ansible, Argo CD, Ray(Distributed Training) • Cloud Platforms & Services: AWS (VPC, ALB, ASG, S3, EC2, ECS, EKS, SageMaker, Lambda, SNS, CloudWatch), Azure (Azure VMs, AKS, ACR), Terraform, Kubernetes • Agent Stack: DSPy, Model Context Protocol (MCP), LiveKit, LangGraph, Agentic RAG, Corrective RAG (CRAG), Reflexion RAG, Self RAG, Adaptive RAG • Databases & Feature Engineering: Feast, PostgreSQL, MongoDB, Redis • Monitoring & Observability: Prometheus, Grafana

Experience

1 yr 3 mos

Total Experience

9 mos

Average Tenure

1 yr 3 mos

Current Experience

Datawars

Project Author

Jul 2025 – Jan 2026 · 6 mos · Dover, DE · Remote

Created 20+ interactive ML and AI projects, covering coding exercises, machine learning fundamentals, and practical AI agents for hands-on learning.

PythonLLMMachine LearningAI Development

Curriculo

AI/DevOps Engineer

Apr 2025 – Nov 2025 · 7 mos · Brooklyn, NY · Remote

Built and scaled AI products across two projects.
→ Designed and built an AI agent, enabling advanced reasoning and real-time decision making.
→ Integrated OpenAI LLMs with DSPy to develop an advanced reasoning system that powers autonomous decision-making and intelligent tool orchestration via the Model Context Protocol (MCP), pioneering the integration independently.
→ Designed and maintained robust MLOps/DevOps pipelines for scalable, reliable deployments.
→ Integrated complex APIs (Amadeus, Meetselect, SerpAPI) to expand product capabilities.
→ Owned infrastructure, logging, testing, and deployment end-to-end.
→ Focused on reliability, scalability, and real-world impact, not just code.

Problem SolvingVoice agentMLOpsAI Development

Freelance

AI/DevOps Engineer

Feb 2025 – Present · 1 yr 4 mos · Remote

I design, build, and scale production-ready AI/ML systems for startups, including AI agents, backend services, and MLOps/DevOps infrastructure.
My work focuses on solving ambiguous engineering problems and delivering reliable, scalable systems in real-world production environments.

AI AgentsDSPyMLOpsDevOps