Headline

Senior DevOps & Platform Engineer | AI‑Driven CI/CD Reliability | Python, Jenkins, LLMs | Developer Productivity Platforms

About

I’m a Senior DevOps & Platform Engineer with 12 years of experience building AI‑assisted developer productivity platforms and CI/CD intelligence systems in large‑scale, regulated environments. My core strength lies in transforming complex engineering workflows into self‑service, scalable tooling that dramatically reduces debugging time, operational toil, and developer friction. At Morgan Stanley, I’ve architected and delivered AI‑powered Jenkins failure diagnostics that convert raw CI logs into meaningful, actionable insights using machine learning, NLP, and LLM‑based summarization. These systems significantly reduced MTTR and enabled developers to diagnose failures without platform‑team dependency or deep Jenkins expertise. I have a strong hands‑on background in: > Python (FastAPI, Flask, AsyncIO) > CI/CD internals & reliability engineering > ML‑based log intelligence and anomaly detection > Internal developer platforms & self‑service tools Previously, I’ve led platform migrations, automation strategy, and Linux ecosystem standardization for global clients across automotive, fintech, and data platforms. My work consistently focuses on scalability, clarity, and developer experience. I enjoy solving ambiguous infrastructure problems, applying AI where it creates real engineering leverage, and building platforms developers actually want to use.

Location

Bengaluru

AI stack

claude code

claude

gemini

geminicli

github copilot

grok

Work experience

Senior Software Engineer 3 at Morgan Stanley, Jun 2022 - Present · 4 y 3 mo, Bengaluru, > Architected and delivered an AI‑powered Jenkins failure diagnostics platform to simplify CI failure triage across complex pipelines. > Built LLM‑based log summarization to transform raw CI logs into clear root‑cause explanations and remediation hints. > Implemented ML‑based log classification to distinguish environmental noise from actionable failures using historical job behavior. > Drove AI‑enabled CI/CD reliability and developer productivity initiatives for Trading Risk Controls. > Created self‑service internal tools that eliminated dependency on platform teams and significantly reduced MTTR. > Improved developer experience by enabling faster incident resolution and lowering operational friction.

Senior Consultant at Capgemini, Jan 2022 - Jun 2022 · 6 mos, > Led platform migration and automation initiatives for a global automotive client (Stellantis). > Migrated 6+ enterprise applications from AIX to SUSE Linux, improving compatibility and maintainability. > Upgraded Oracle databases from 10g to 19c, enhancing job scheduling reliability. > Designed standardized Linux base images and reusable platform components. > Built Python and Shell automation to reduce recurring platform incidents. > Recognized with multiple awards for high‑impact automation and platform stabilization.

Consultant at Capgemini, Oct 2019 - Jan 2022 · 2 yrs 4 mos, Bangalore, Application Migration Lead

Senior DevOps Engineer at Impetus, Nov 2018 - Oct 2019 · 1 yr, Bengaluru, Karnataka, India, Delivered DevOps automation for American Express’ DataLake, streamlining reporting and alert workflows. Built custom monitoring dashboards that reduced debugging turnaround time by 40%.

Application Development Analyst at Accenture, Jun 2016 - Nov 2018 · 2 yrs 6 mos, Bengaluru, Karnataka, India, UNIX Shell Scripting

Associate Software Engineer at Accenture, Oct 2014 - May 2016 · 1 yr 8 mos, Bengaluru, Karnataka, India, Salesforce.com, TeraData, EDI, Shell Scripting

Storage Administrator at Dell International Services (I) Private Limited, Bangalore, Aug 2014 - Oct 2014 · 3 mos, Noida Area, India, Unix Systems, Storage Administration, SAN, NAS

Education

Bachelor of Technology (B.Tech.), Computer Science, G.L.Bajaj Institute Of Technology And Management

Intermediate, Devasthalli Vidyapeeth, Ballia

Public links

github: https://github.com/gaurav27anand