Software Engineer•Boeing India Pvt. Ltd.
Specializing in Python analytical systems, data platforms, backend APIs, and AI/GenAI applications across FastAPI, SQL, AWS, Azure, LangChain, LangGraph, and AI-agent workflows.
Open to full-time roles, freelance projects, and interesting collaborations.
Core Stack
4+ Yrs
Boeing
2nd
Snowflake '25
92%
Test Cov.
About Me
Background & Research
Ganesha N Hotti
Software Engineer
Boeing India Pvt. Ltd.
Software Engineer with 4 years of experience building Python-based analytical systems, data platforms, backend APIs, and AI/GenAI applications. Strong foundation across Python, SQL, FastAPI, Flask, AWS, and Azure.
Experienced in developing data-intensive systems involving statistical analysis, anomaly detection, regression, survival analysis, ETL pipelines, and quantitative engineering metrics. Hands-on experience integrating LLM APIs, LangChain, LangGraph, AI-agent workflows, structured query generation, vector fallback, and natural-language data interfaces.
4 Years
Experience
Boeing India
Employer
Bengaluru
Location
Available
Status
Non-Intrusive System with Integrated Machine Learning Framework for Forecasting Boeing Pilot Fatigue Through Historical Data and Self-Assessed Fatigue Risk Metrics
Authors: A. P. Upadhya, G. N. Hotti et al.
Education
B.E. Information Science
Ramaiah Institute of Technology
Bengaluru, Karnataka, India
Sep 2019 – Jul 2022
2nd Place Nationwide
Snowflake Hero Challenge
Achieved 2nd place in the YourStory | Snowflake Hero Challenge 2025, a nationwide data innovation hackathon.
YourStory | Snowflake • 2025
Azure Fundamentals (AZ-900) — Microsoft (2023)
Project of the Year 2022 — Awarded among 50+ engineering projects
Verified Credentials
My Journey
CareerWork Experience
Software Engineer
- Developed Python/FastAPI analytical services serving Flight Configuration metrics from PostgreSQL on AWS RDS, deployed serverlessly on AWS Lambda with Mangum and Terraform-managed infrastructure.
- Built data transformation pipelines with SQL CTEs, window functions, pandas, and hierarchical aggregation to convert revision histories into structured monthly KPIs.
- Developed statistical analytics and anomaly-detection solutions using Poisson-Pareto analysis and Weibull regression to quantify asset risk and support maintenance prioritization.
- Engineered Flask microservices that integrate LLM APIs and Generative AI to summarize calibration work orders and generate UCL-based alerts across eight detection rules.
- Developed analytical workflows for statistical process control, reliability modeling, regression analysis, anomaly detection, and quantitative engineering metrics.
- Built a multi-threaded Python/PyQt6 application for ISS thermal data analysis with temperature and heat-rate computation, violation detection, visualization, and Excel/PDF reporting.
- Developed Angular and Spring Boot components for aviation data analytics and reporting, including AIRAC comparison, asynchronous processing, data persistence, and Azure Blob integration.
- Maintained 92% automated test coverage with Pytest, pytest-qt, and Jest, and integrated GitLab CI/CD build, test, and deployment workflows.
Technical Skills
ToolkitLanguages
AI & GenAI
Backend
Application Development
Databases
Cloud & DevOps
Tools
Projects
PortfolioProfessional
Enterprise AI Assistant (ETE-AI)
Enterprise Generative AI application using FastAPI and LangGraph to translate natural-language questions into structured execution plans across Neo4j asset data and Oracle work-order data.
Professional
TICS — Engineering Data Platform
Data Mesh / Lakehouse platform consolidating engineering data from MS Access, SQL Server, and file shares into cloud-native PostgreSQL on AWS GovCloud, with FastAPI analytical services and AWS Glue ETL.
Professional
Advanced Metrology Analytics (AMA)
Multi-service analytical platform for calibration-equipment analysis with SPC control charts, statistical process monitoring, UCL detection, 8-rule alert generation, and AI-powered calibration note summarization.
Professional
ISS Thermal Data Analyzer
Python/PyQt6 analytical desktop application for International Space Station thermal temperature and heat-rate analysis across multiple engineering nodes and cases.
Professional
Navigation Database Services (NDS)
Angular and Spring Boot platform for navigation database workflows, supporting AIRAC cycle comparison, PDF/GeoPackage export, and backend messaging for operational data delivery.
Professional
Enterprise Total Productive Maintenance (ETPM)
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.
Meet The Folks
The core engineers, leads, and architects behind the DevFolk network.
A collective of passionate software engineers and architects building intelligent systems, cloud platforms, and data-driven solutions.
Ganesha N Hotti
Software Engineer
Data Platforms, Analytical Systems & GenAI workflows
Chethan M
AI/ML Engineer
Applied Machine Learning, Computer Vision & LLM Solutions
Sharath S Hebbar
AI/ML Lead
AI Architecture, Large-Scale Analytics & Predictive Systems
Dileep Kumar R S
DevOps Engineer
Cloud Architecture, CI/CD Automation & Kubernetes Reliability
Get in Touch
Say HelloLet's work together
Available for full-time roles, freelance projects, and interesting collaborations. Reach out through any channel below.