satyaraj.devsatyarajnandi@gmail.com

Hello! I'm

SATYARAJ
REDDY NANDI

Software Engineer
Backend systems
Web developer
Cloud infra

About Me

Senior Backend Engineer and SDE-II at Microsoft Security (ex-AWS). I specialize in high-throughput API development, distributed systems, and cloud-native architecture for auth, incident response, and secure workflows at scale.

  • Backend & APIs · Go, Python, TypeScript
  • Cloud · AWS, Azure · Serverless & ETL
  • Data · Analytics, warehousing, ML pipelines
  • MS Information Systems, Georgia State

WHAT
I DO

BUILD

Description

Scalable microservices, APIs, and data pipelines at scale. From high-throughput Go services to PySpark ETL, cloud infrastructure, and CI/CD pipelines.

Skillset & tools
Go
Python
TypeScript
AWS
Azure
PostgreSQL
DynamoDB
Kafka
PySpark

SYSTEMS & DATA

Description

Event-driven architecture, real-time observability, and ML pipelines. Secure auth, incident automation, and cost-efficient data engineering at enterprise scale.

Skillset & tools
Microservices
IaC
CloudWatch
Bedrock
Docker
Kubernetes
React
Next.js

My career &
experience

Software Development Engineer II

Microsoft

Sep 2025 – Dec 2025

  • Secure Future Initiative (SFI) controls across Entra (AAD) Reporting for SQL, Cosmos DB, Storage, Key Vault; zero production regressions.
  • Multi-region infrastructure (Blu, Germany, Singapore); zero Sev2+ incidents.
  • Azure AD authentication microservices and enterprise security workflows.

Software Development Engineer

Amazon Web Services

Dec 2022 – June 2025

  • High-performance RESTful Go API with IAM & DynamoDB; sub-100ms at 300K req/min.
  • CloudWatch dashboards & alarms for 15+ microservices; ~40% faster incident detection.
  • IaC migration with AWS CDK; ~80% faster provisioning across 500 accounts.
  • On-call automation with Slack + Bedrock/Claude for GenAI incident summarization.

Software Development Engineer

ValueMomentum

Jul 2019 – Jul 2021

  • Distributed ETL with PySpark & Hadoop; 3B+ insurance records for analytical models.
  • RESTful APIs in Python for financial data; 40% lower data access latency.
  • Predictive modeling APIs (loan default risk) for Fortune 500 clients; containerized microservices.

Founder

Offergasm

Aug 2016 – Jul 2019

  • Aggregator bidding platform for travel agents (flights & hotels).
  • Data analytics for parameter allocation; 40%+ customer retention.

Education &
Academic

Georgia State University, Robinson College of Business

Atlanta, GA

2021 – 2022

MS: Information Systems (Big Data Management & Analytics)

GPA: 3.52/4

  • Graduate Research Assistant: Text mining analysis of Fortune 100 tech-business trends [NLP & Tableau]

Christ University

Bengaluru, India

2016 – 2019

BS: Computer Applications

CGPA: 8.92/10

MY WORK.

StructBench - LLM Benchmarking tool built with Next.js and TypeScript
01

LLM Benchmarking / Next.js

StructBench

Benchmark LLM structured output extraction across multiple models. Features field-level F1 scoring and a live leaderboard. Bring your own JSON schema.

Next.jsTypeScriptTailwind CSS
GeoSignal Terminal - Real-time geopolitical market intelligence platform for Indian equities
02

Market Intelligence

GeoSignal Terminal

Real-time geopolitical market intelligence platform tailored for Indian equity markets. Aggregates data and signals for trading insights.

ReactPythonData Processing
Graduate Admissions Analysis using Python, Pandas, and Scikit-Learn
03

Data Science / Analysis

Graduate Admissions

Analysis of graduate admissions data using Pandas, Seaborn, and statistical modeling to find relationships between variables and admission chances.

PythonPandasScikit-Learn
Sparkify Churn Prediction using PySpark and Machine Learning
04

Big Data / PySpark

Sparkify Churn Prediction

Predict user churn for a fictional music streaming service by analyzing large user activity logs and building machine learning models in PySpark.

PySparkMachine LearningBig Data

Skills