Hi, I'm

Full Stack Software Engineer

I design backend APIs, data pipelines, and interactive web applications across Python, React, FastAPI, Spring Boot, PostgreSQL, AWS Lambda, and Azure.

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Available for opportunities

Open to full-time roles, freelance projects, and interesting collaborations.

Tech Stack

PythonFastAPIFlaskJavaReactReduxAngularJavaScriptTypeScriptSpring BootPostgreSQLSQL ServerAWS LambdaAzureGitLab CI/CDLLM APIs

~4

Years Exp.

AWS/Azure

Cloud

92%

Coverage

About Me

Who I am
GNH

Ganesha N Hotti

Software Engineer

Full Stack Software Engineer with 4 years of experience designing backend APIs, data pipelines, and interactive web applications. Proficient in Python, FastAPI, Flask, JavaScript, Java, SQL, AWS, and Azure, with hands-on experience in SQL optimization, microservice architecture, serverless deployments, ETL pipelines, and CI/CD automation.

I build production systems that combine React, Redux, Angular, Material UI, PostgreSQL, SQL Server, Neo4j, and Oracle to streamline engineering and analytics workflows. Graduated from MS Ramaiah Institute of Technology in Information Science & Engineering — dedicated to writing clean, testable code and delivering production-ready features that solve real-world data challenges.

“Maybe, you can change the system too.”

4 Years

Experience

Boeing

Employer

Bangalore

Location

Available

Status

My Journey

Career

Work Experience

Software Engineer

Aug 2022 – Present
Boeing India Private Limited
  • Developed a FastAPI backend with Pydantic to serve Flight Configuration metrics from PostgreSQL on AWS RDS, deployed serverlessly on AWS Lambda via Mangum with Terraform-managed infrastructure.
  • Built server-side SQL transformations using CTEs, window functions, and pandas pivoting to aggregate revision histories into hierarchical monthly KPIs, eliminating frontend data processing.
  • Co-developed a React + Redux SPA with Material UI and MUI DataGrid to unify fragmented analytics tools, owning state management for SPC and Alerting modules.
  • Engineered Flask microservices with Flask-RESTX to summarize calibration work orders through LLM APIs and generate automated UCL rule-based alerts across 8 statistical rules.
  • Designed reliability modeling tools using Poisson-Pareto anomaly detection and Weibull regression to quantify asset risk and support data-driven maintenance prioritization.
  • Developed an Angular frontend for Navigation Database Services with AIRAC cycle comparison, PDF/GeoPackage export, and a multi-module Spring Boot backend with JPA, Flyway, and JMS messaging.
  • Built a multi-threaded PyQt6 desktop application for ISS thermal data visualization with temperature and heat-rate analysis, time violation detection, and Excel/PDF export.
  • Maintained 92% code coverage using Pytest, pytest-qt, and Jest, with GitLab CI/CD pipelines for automated build, test, and deploy stages.
PythonFastAPIFlaskReactReduxAngularJavaSpring BootPostgreSQLAWS LambdaTerraformPyQt6PytestJest

Education & Certifications

Credentials

education

Bachelor of Engineering

2022

Information Science & Engineering

MS Ramaiah Institute of Technology

Four-year undergraduate program covering data structures, algorithms, databases, operating systems, and software engineering fundamentals.

certification

Microsoft Azure Fundamentals

2023

AZ-900

Microsoft

Core Azure cloud concepts, services, security, privacy, compliance, and Azure pricing and support.

learning

Continuous Learning

Ongoing

Always expanding

Self-directed

Regularly exploring new tools and techniques — currently deepening knowledge in cloud-native patterns, distributed systems, and AI integration.

Technical Skills

Toolkit

Languages

Python
JavaScript
TypeScript
SQL
Java
C#

Backend

FastAPI
Flask
Spring Boot

Frontend

React
Redux
Angular
Material UI
PyQt6

Databases

MySQL
PostgreSQL
SQL Server
Neo4j
Oracle

Cloud & DevOps

AWS
AWS Lambda
AWS Glue
AWS Athena
AWS S3
AWS RDS
Azure
AKS
Docker
Cloud Foundry
GitLab CI/CD

Tools

Git
Pytest
Jest
JIRA
Postman
SonarQube
Pylint
VSCode

Projects

Portfolio

Professional

TICS — Engineering Data Platform

Boeing India Private Limited

Data Mesh / Lakehouse platform consolidating engineering data from MS Access, SQL Server, and file shares into cloud-native PostgreSQL on AWS GovCloud, with a React 19 dashboard and serverless FastAPI analytics layer.

FastAPIReact 19PostgreSQLAWS LambdaAWS GlueAthenaTerraformPySparkMUI DataGridPydantic
Proprietary — code is confidential

Professional

Advanced Metrology Analytics (AMA)

Boeing India Private Limited

Multi-service calibration equipment analytics platform built with a React/Redux SPA and Flask REST APIs. Delivers SPC control charts, UCL detection, 8-rule alert generation, Poisson-based anomaly detection, Weibull regression life cycle cost modeling, and AI-powered calibration note summarization.

ReactReduxFlaskFlask-RESTXSQL ServerSciPyAPSchedulerscikit-learnLLM APIs
Proprietary — code is confidential

Professional

Agentic AI Query Pipeline

Boeing India Private Limited

Multi-node agentic AI pipeline that translates natural language into Neo4j Cypher and Oracle SQL using LangGraph, LangChain, and FastAPI, with streaming responses and guarded query compilation.

LangGraphLangChainFastAPINeo4jOracle SQLPythonCypherSSE
Proprietary — code is confidential

Professional

Navigation Database Services (NDS)

Boeing India Private Limited

Angular and Spring Boot platform for navigation database workflows, supporting AIRAC cycle comparison, PDF/GeoPackage export, and backend messaging for operational data delivery.

AngularTypeScriptJavaSpring BootJPAFlywayJMSPDF ExportGeoPackage
Proprietary — code is confidential

Professional

Enterprise Total Productive Maintenance (ETPM)

Boeing India Private Limited

Asset health analytics platform calculating composite maintenance scores across rolling windows, backed by Python/Oracle ETL, Crow-AMSAA reliability modeling, and an interactive React dashboard.

PythonFlaskPandascx_OracleSQLAlchemyReact 18ReduxMaterial UIRechartsOracle DBSQL ServerCloud Foundry
Proprietary — code is confidential

Professional

ISS Thermal Data Analyzer

Boeing India Private Limited

PyQt6 desktop application for International Space Station thermal data analysis, with multi-format ingestion, threaded validation, Matplotlib/Seaborn visualizations, and Excel/PDF export.

PythonPyQt6PandasMatplotlibSeabornMulti-threadingMVC
Proprietary — code is confidential