Garvit Jindal — Backend, Cloud and LLM Engineer in Bengaluru, India

Garvit Jindal

I build backend systems and LLM pipelines that hold up at scale.

Currently at Moody's · Previously SAP Labs

Garvit Jindal — 3+ years shipping data infrastructure, microservices, and developer tooling — most recently building AWS Glue + Lambda pipelines for financial data remediation at Moody's, after ~3 years at SAP Labs migrating legacy services to BTP / Cloud Foundry.

Based in Bengaluru, India. Resume ↗ · LinkedIn ↗ · GitHub ↗

About

I'm a software engineer with 3+ years of experience at SAP Labs and Moody's, building scalable backend systems and cloud-native architectures. I specialize in Java (Spring Boot), Node.js, and Python — designing microservices that handle millions of records with sub-second latency and high availability.

I'm particularly drawn to problems at the intersection of system design, automation, and developer productivity — building systems that make engineering teams faster and more reliable. Recently I've been deepening my AI engineering skills — production LLM orchestration, observability, and low-latency conversational systems.

Winner of the Smart India Hackathon 2022 · B.Tech in Computer Science from JIIT.

Where I do my best work

Three areas — backend systems, AI engineering, and cloud infrastructure.

01

Backend & Distributed Systems

Java/Spring Boot microservices and Python pipelines handling millions of records with sub-second latency. Strong on API design, async event-driven architectures, and migrating legacy services to cloud-native platforms. At SAP I automated a service classification system across 500+ services and migrated 10+ legacy applications to BTP/Cloud Foundry, cutting downtime by 40%.

  • Java
  • Spring Boot
  • Python
  • Node.js
  • REST APIs
  • Microservices
  • Async patterns
02

AI & LLM Engineering

Production-grade LLM systems with async orchestration, model-agnostic provider switching, and observability built in. Comfortable building FastAPI + LangChain services with streaming responses over Server-Sent Events, implementing observability layers that track cost / token usage / Time-To-First-Token across 300+ models, and designing multi-tier caching (Redis hot tier + MongoDB persistence) for low-latency conversational state.

  • Python
  • FastAPI
  • LangChain
  • OpenAI
  • Gemini
  • SSE
  • Redis
  • MongoDB
  • Prompt chaining
03

Cloud & Data Infrastructure

ETL pipelines and cloud-native services on AWS and SAP BTP. Currently designing AWS Glue jobs with Python Lambda for event-driven data remediation at Moody's, surfaced through React + Retool dashboards for the data ops team. Comfortable operating data systems at scale and integrating with downstream consumers.

  • AWS Glue
  • Lambda
  • S3
  • SAP BTP
  • Cloud Foundry
  • MongoDB
  • MySQL
  • Retool
  • Docker

Work

Moody's Corporation

Software Engineer (SDE-2)

Dec 2025 – Present
  • Building a data remediation pipeline that identifies, flags, and corrects data quality issues across large-scale financial datasets.
  • Designing AWS Glue ETL jobs for structured and semi-structured data, with Python Lambda functions handling event-driven transformation and automated remediation.
  • Building a React + Retool internal dashboard for data ops teams to monitor remediation status and trigger manual overrides.
  • Python
  • AWS Glue
  • Lambda
  • S3
  • React
  • Retool

SAP Labs

Developer Associate (SDE-I)

Jul 2023 – Dec 2025
  • Built a regression scoping tool that cut QA testing time by 90% and manual effort by 75%, adopted across enterprise testing workflows at SAP.
  • Automated a service classification system in Java/Spring Boot, improving infrastructure efficiency across 500+ SAP services.
  • Migrated 10+ legacy applications to SAP BTP / Cloud Foundry, reducing production downtime by 40%.
  • Designed backend APIs connecting cloud-based SAP tools with internal systems to improve cross-service automation and developer productivity.
  • Java
  • Spring Boot
  • SAP BTP
  • Cloud Foundry
  • HANA

SAP Labs

Software Engineer Intern

Feb 2023 – Jul 2023
  • Onboarded onto the SAP BTP and HANA cloud stack; contributed to early-stage backend service development and internal tooling.
  • Java
  • SAP BTP
  • HANA

Axact Studios

Web Development Intern

Jun 2022 – Jul 2022
  • Contributed to front-end development and UI/UX improvements for client-facing web projects.
  • MongoDB
  • ExpressJs
  • ReactJS
  • NodeJs
  • SQL
  • Firebase

Things I've been building

TIP 100

Smart India Hackathon 2022 — winning entry.

Secure tip-off submission system designed for anonymous, encrypted reporting of sensitive intelligence inputs. Selected as the national winner among thousands of teams.

  • Web
  • Security
  • Hackathon

Source ↗

RideFusion

Unified ride-tracking across providers.

Aggregator app that lets users book and track rides across multiple ride-sharing services from a single interface, comparing fares and ETAs in real time.

  • Mobile
  • APIs
  • Integration

Source ↗

Highlights

Things I've written and awards along the way.

Articles

Recognition

  • Rising Star Award — SAP Labs Sept 2025
  • Enhancing QMate Regression Testing with Advanced Scoping Tool — Publication Aug 2024
  • Smart India Hackathon — Winner Aug 2022

Education

Jaypee Institute of Information Technology

B.Tech, Computer Science

2019 – 2023

Focus on software development, data structures, and database systems. Active in technical competitions and hackathons.

Let's talk

Want to chat about backend systems, LLM pipelines, or something you're shipping? Email me at garvit992001@gmail.com — or send a note below.