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BhargaviGudisa/README.md

Bhargavi Gudisa

Software Engineer — Cloud Infrastructure & AI Quality

I build infrastructure that behaves the same everywhere it runs. Python and Bash applications packaged in Docker, GCP and Azure environments provisioned with Terraform, and the quality systems that keep what runs on top of them trustworthy.

5 years across the US and India, currently at Lumin Innovations. M.S. Computer and Information Sciences, Florida Atlantic University (GPA 3.86).

Portfolio · LinkedIn · Email

What I work on

  • Infrastructure as code — Terraform-provisioned GCP storage, compute and service accounts, so every Linux environment runs the same version-controlled build instead of drifting apart. The difference between dev and production is a variables file, not a different procedure.
  • Containerized pipelines — Python and Bash ingestion applications in Docker on Linux VMs, with the runtime and system dependencies fixed at build time rather than inherited from whichever host happens to run them.
  • AI quality systems — tooling that evaluated 5,000+ AI responses at 98% flagging accuracy, with a root-cause process separating content gaps from prompt-handling failures so each failure reaches the one team that can fix it.
  • Content governance — owner-per-area accountability plus automated Bash audits that route 200+ stale entries a month to the people who own them.

Projects
Review Sentiment & Competitor Radar Aspect-based sentiment over 6.99M Yelp reviews, scoring a business against five competitors across six service aspects. Live demo
Telco Customer Churn Analysis 7,000+ customer records cleaned and segmented to find which cohorts churn and what retention would cost.
Sales & Revenue Performance Multi-year retail transaction data modelled into KPIs, profitability drivers and a dashboard.
Portfolio site Case studies with the architecture and code behind each piece of work.

Stack
Infrastructure Terraform · Docker · GCP (Cloud Functions, Storage, Compute Engine) · Linux · Azure
Languages Python · Bash · SQL (T-SQL) · C#
Data SQL Server · Azure SQL · ETL · pandas · Power BI · Tableau
Practice IaC · SDLC · Agile · Code review · Technical documentation

Education & credentials

  • M.S. Computer and Information Sciences — Florida Atlantic University, GPA 3.86
  • Microsoft Certified: Azure Fundamentals (AZ-900)
  • Hybrid model of a passive aggressive classifier machine learning approach to fake news detection — published, Springer

Popular repositories Loading

  1. telco-customer-churn-analysis telco-customer-churn-analysis Public

    End-to-end churn analysis of 7,000+ telecom customers — cleaning, SQL and Python exploration, and a dashboard spec identifying which segments churn and why.

    Jupyter Notebook

  2. sales-revenue-performance sales-revenue-performance Public

    Retail sales and revenue analytics — cleaning, modeling, SQL and pandas analysis of multi-year transaction data, surfaced as KPIs and a dashboard.

    Jupyter Notebook

  3. review-sentiment-radar review-sentiment-radar Public

    Aspect-based sentiment analysis scoring a local business against nearby competitors across six service aspects. Python, VADER, Streamlit.

    Python

  4. BhargaviGudisa BhargaviGudisa Public

    Profile README

  5. BhargaviGudisa.github.io BhargaviGudisa.github.io Public

    Portfolio — Software Engineer, cloud infrastructure and AI quality. Single-file static site, no build step.

    HTML

  6. coffee-quality-pipeline coffee-quality-pipeline Public

    Python