---
title: "Anish Mahapatra - Senior MLOps Engineer | AIOps Platform Lead in Greater Bengaluru Area | Tal"
description: "Meet Anish Mahapatra, Senior MLOps Engineer | AI Platform & LLMOps | Scaling Production ML Systems based in Greater Bengaluru Area. AI stack includes claude code, claude, and codex. Explore public work links including github and medium."
image: "https://tal.club/meet/anish-mahapatra/share-image"
---

# Anish Mahapatra on Tal

## Headline

Senior MLOps Engineer \| AI Platform & LLMOps \| Scaling Production ML Systems

## About

I design and scale ML platforms that enable teams to build, deploy, and operate AI systems at enterprise scale\. I have worked across SAP, 7\-Eleven, and Mu Sigma, taking ML and LLM systems from prototype to production with a focus on platformization, reliability, and measurable business outcomes\. My core focus areas: \- MLOps and LLMOps platform design \(CI/CD, observability, governance\) \- Scalable microservice\-based ML systems on Kubernetes \- Real\-time data infrastructure \(Kafka, Spark, Databricks\) \- Enterprise deployment workflows \(MLflow, ArgoCD, GitHub Actions\) Selected impact: \- Scaled AIOps platform to 12M\+ API calls/month across Fortune 500 clients \- Reduced ML release cycles by 45% via end\-to\-end CI/CD automation \- Improved deployment reliability by 60% using containerized, auto\-scaling systems \- Delivered $1\.2M\+ annual cost savings through data platform optimization I focus on establishing engineering standards, improving system reliability, and enabling cross\-team adoption of ML systems at scale\. Currently focused on building AI platforms that improve reliability, standardization, and velocity across ML teams\.

## Location

Greater Bengaluru Area

## AI stack

claude code

claude

codex

github copilot

huggingface

Wispr Flow

## Work experience

Senior MLOps Engineer \| AIOps Platform Lead at SAP, Dec 2024 \- Present · 1 yr 9 mos, Bengaluru, • Led the productionization and scaling of an enterprise AIOps platform serving 10\+ Fortune 500 clients, processing 5M\+ API calls/month • Architected microservice\-based ML infrastructure on Kubernetes, improving deployment reliability by 60% through auto\-scaling and fault\-tolerant design • Built end\-to\-end MLOps and LLMOps workflows \(GitHub Actions, ArgoCD, MLflow\), reducing release cycles by 45% • Built NLP\-driven anonymization pipelines, improving processing throughput by 40% while ensuring compliance with enterprise data privacy standards • Established DevSecOps practices \(RBAC, SAST, dependency scanning\), reducing security vulnerabilities by 30% • Drove cross\-functional alignment across data engineering, platform, and product teams to standardize ML deployment and monitoring workflows • Led execution across multiple teams, improving delivery velocity by 25% Tech Stack: Python, Kubernetes, Docker, MLflow, ArgoCD, GitHub Actions, Databricks, REST APIs, Microservices

Senior AI & Machine Learning Engineer at 7\-Eleven, Jul 2022 \- Oct 2024 · 2 yrs 4 mos, Bengaluru, • Built an enterprise analytics interface using LLMs and LangChain, enabling self\-serve data access and reducing dependency on BI teams • Designed real\-time data pipelines \(Kafka, Spark, Databricks\) processing 600B\+ records, improving query latency by 70% • Architected scalable ML deployment workflows using Docker and Kubernetes, enabling reproducible and reliable model releases • Developed LLM\-driven systems for knowledge retrieval and analytics automation across enterprise datasets • Led migration of 300B\+ rows across 250\+ tables to Delta Lake and Power BI semantic layer, enabling unified real\-time analytics • Mentored a team of 3 engineers on data pipeline design and production ML practices, improving delivery quality and system reliability • Presented system architecture and business impact to CXO\-level stakeholders, aligning technical execution with organizational goals Tech Stack: Python, Kubernetes, Docker, Kafka, PySpark, Databricks, Apache Airflow \(Astronomer\), MLflow, Azure, Power BI, Delta Lake, LangChain

Lead Data Scientist at Mu Sigma Inc\., Sep 2018 \- Aug 2022 · 4 yrs, Bengaluru, Promoted from Data Scientist → Senior Data Scientist → Lead Data Scientist within 4 years • Led data science and data engineering initiatives for Fortune 300 clients, delivering predictive systems for demand forecasting, anomaly detection, and workforce analytics • Built ML pipelines using Airflow and cloud platforms \(Azure, GCP\), enabling scalable and repeatable model deployment workflows • Built batch and near real\-time data processing systems using PySpark, improving data\-to\-decision cycle time by 40% • Partnered with VP and Director\-level stakeholders to define AI strategy, system requirements, and business KPIs • Drove cross\-functional collaboration across data, engineering, and business teams, improving delivery efficiency by 30% • Led and mentored teams across multiple projects, standardizing development practices and improving overall execution quality Tech Stack: Python, PySpark, Airflow, Azure, GCP, SQL, Power BI

Technical Writer \- AI, MLOps & LLM Systems at Medium, Jan 2018 \- Sep 2024 · 6 yrs 9 mos, Remote, • Published articles on AI infrastructure, MLOps, and LLM systems across Towards Data Science and DataDriven Investor, reaching 230K\+ global readers • Wrote technical deep dives on ML system design, LangChain, and production ML workflows • Recognized as a Top Writer on Medium for translating complex AI concepts into practical, implementation\-focused insights • Published content focused on helping engineers understand and apply production\-grade ML systems

Instructor & Technical Educator \- AI/ML at Anish Mahapatra, 2017 \- Jul 2023 · 6 yrs 7 mos, India, • Conducted live sessions on Data Science, ML, and AI for 50K\+ learners, maintaining an average CSAT of 4\.9/5 • Designed and delivered technical learning content on applied AI and ML systems, including structured courses, tutorials, and workshops • Mentored aspiring data professionals on project development and real\-world ML applications • Invited speaker for webinars and technical sessions, translating complex concepts into practical insights for industry use

## Education

Master's in Data Science, With Distinction \(Top 1%\), Data Science, Machine Learning and Artificial Intelligence \(ML & AI\), Liverpool John Moores University

B\.Tech, Computer Science, Manipal institute of technology

## Public links

- github: https://github\.com/anishmahapatra
- medium: https://medium\.com/@anishmahapatra

[View the original profile](https://tal.club/meet/anish-mahapatra)

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