Open to opportunities

Mihir Kudale

@mihirkudale

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Data Engineer and AI Engineer transforming complex data into trusted insights and production-ready applications.

India

Message

What I'm looking for

I’m looking to build scalable data pipelines and BI platforms while shipping production-ready AI/LLM features that turn complex data into trusted insights and measurable outcomes.

I’m a Data Engineer / AI Engineer with 2+ years of experience building scalable data pipelines, analytics platforms, BI solutions, and production-ready AI applications, including large-scale analytics at Amazon.

I’ve consistently focused on turning complexity into clarity—transforming raw records into governed dashboards, self-service analytics, and measurable business outcomes through strong data modeling, ETL/ELT, and orchestration.

In my most recent work as an Independent AI Consultant, I delivered production-ready AI web applications for healthcare, financial services, and digital marketing, scaling customer-facing portals with AI-powered support assistants and building a multimodal generative AI SaaS application that reduced multilingual content production time by 70%.

Previously, as Software Developer – Data & AI, I designed a scalable analytics platform processing 250,000+ daily records, strengthened production ETL workflows with retries and alerts, and delivered governed Power BI dashboards with row-level security. I’ve also built RAG workflows and automated document review using Azure AI services, while setting up CI/CD pipelines to improve release consistency.

Experience

Work history, roles, and key accomplishments

Current

Independent AI Consultant

Current

Up Rank Digital

Dec 2025 - Present (7 months)

Delivered production-ready AI web applications across healthcare, financial services, and digital marketing using Python, React, FastAPI, REST APIs, MySQL, and MongoDB. Scaled customer portals with AI support assistants, built a multimodal generative AI content SaaS, and automated brand governance and publishing with agentic AI workflows.

Python React JavaScript fastAPI REST APIs MySQL MongoDB Supabase Generative AI Multimodal AI AI Agentic Workflow Blotato APIs

Software Developer - Data & AI

Integrated Consultancy Services

Aug 2024 - Nov 2025 (1 year 3 months)

Designed and developed a scalable analytics platform using Python, Django, MySQL, and MongoDB, processing 250,000+ daily records. Strengthened production ETL workflows, implemented governed Power BI dashboards, and built Azure AI Document Intelligence/Vision OCR and RAG workflows, along with Azure DevOps CI/CD pipelines for Dockerized applications.

Python Django MySQL MongoDB Celery Redis Power BI Power Query DAX Data Modeling Azure AI Document Intelligence Azure OCR RAG Azure DevOps Docker CI CD ETL

Data Analyst (Contract)

Amazon

Aug 2023 - Jan 2024 (5 months)

Analyzed 500,000+ Amazon Redshift records using advanced SQL concepts in Hubble to reduce analysis turnaround time. Streamlined recurring reporting with Datanet, built Amazon QuickSight dashboards for self-service analytics, and supported capacity planning with KPI insights while validating data accuracy.

SQL Advanced SQL Amazon Redshift Hubble Amazon Quicksight Data Analysis KPIs Data Validation

Data Scientist Intern

iNeuron Intelligence (Acquired by PW Skills)

Nov 2022 - Feb 2023 (3 months)

Trained and evaluated placement-risk classification models using Python, Pandas, scikit-learn, and XGBoost, achieving 84% validation accuracy. Deployed containerized ML inference APIs with FastAPI, Docker, and AWS to serve 1,000+ monthly predictions.