Open to opportunities

Ajay Ingle

@ajayingle

Message

AI/ML Engineer building production MLOps and generative AI systems with Databricks, MLflow, and CI/CD automation.

India

Message

What I'm looking for

I’m looking for a role where I can ship production ML systems—owning Databricks/MLflow workflows and CI/CD automation—while building reliable generative AI (RAG/agents) with auditability and strong data security.

I built an end-to-end MLOps lifecycle at Syngenta using Databricks and MLflow—tracking experiments and automating model promotion from DEV to STAGING to PROD. I also set up GitLab CI/CD so training, validation, and deployment became zero-touch, and I containerized workloads with Docker for reproducible Databricks-aligned releases.

On the AI side, I’ve engineered generative AI apps like NeuroBoost-HCI, where I orchestrated LLM workflows and added HIPAA-aligned data isolation with JWT plus Supabase RLS. I also created an agentic underwriting system that combined an XGBoost credit-risk model (MLflow-tracked) with a LangChain agent using MCP, with full decision audit logs for explainability.

Experience

Work history, roles, and key accomplishments

Software Engineer Intern

Syngenta

Jul 2025 - Jan 2026 (6 months)

Architected a full MLOps lifecycle on Databricks with Mlflow and automated model promotion across DEV, STAGING, and PROD. Built GitLab CI/CD pipelines for zero-touch model rollouts and containerized ML workloads with Docker.

Databricks MLFlow Gitlab CI Docker MLOps