Hello! I'm
SATYARAJ
REDDY NANDI
Software Engineer
Backend systems
Web developer
Cloud infra
About Me
SDE-II at Microsoft Security (ex-AWS). I build and optimize systems 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
WHATI DO
BUILD
Description
Backend systems, APIs, and data pipelines at scale. From high-throughput Go services to PySpark ETL and cloud infrastructure.
Skillset & tools
SYSTEMS & DATA
Description
Distributed systems, observability, and ML pipelines. Secure auth, incident automation, and cost-efficient data engineering.
Skillset & tools
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.
MY WORK.
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.
Market Intelligence
GeoSignal Terminal
Real-time geopolitical market intelligence platform tailored for Indian equity markets. Aggregates data and signals for trading insights.
Data Science / Analysis
Graduate Admissions
Analysis of graduate admissions data using Pandas, Seaborn, and statistical modeling to find relationships between variables and admission chances.
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.