Hello and welcome! I am Jeshwanthika Pothamchetty, a passionate Software Engineer and Computer Applications Scholar at Alliance University, Bengaluru. My engineering focus centers on developing trustworthy Artificial Intelligence, building responsive full-stack web architectures, and delivering insightful business intelligence reporting.
Across this GitHub profile, you will find active codebases spanning:
- Artificial Intelligence & Generative Deep Learning: Auditing demographic bias in pretrained transformer models (
distilgpt2), synthesizing apparel images via Deep Convolutional GANs (DCGAN), and experimenting with StyleGAN2-ADA latent manifolds. - Full-Stack Web Engineering: Modern user-facing web portals (City Hospital, Food Cafe, Rapido transit clone, and glassmorphic academic grading calculators).
- Applied Data Science & Machine Learning: Diagnostic clinical prediction (Pima Indians Diabetes classification) and 50+ cell econometric real estate price modeling pipelines.
- Object-Oriented Software Systems: Modular Java architectures implementing SOLID Single Responsibility Principles, card dealer engines, and asset inventory controls.
- Executive Summary / Overview
- Key Features & Capabilities
- System Architecture & Engineering Philosophy
- Featured Projects & Source Code Directory
- Tech Stack Breakdown
- Reproducible Quickstart & Setup
- Project Directory Layout
- Author & Connect
- Ethical AI & NLP Auditing: Quantifying and mitigating stereotypical bias in language generation pipelines through counterfactual prompt analysis.
- Generative Computer Vision: Implementing minimax adversarial loss dynamics in TensorFlow and PyTorch for synthetic image synthesis.
- Full-Stack Visual Craftsmanship: Designing responsive, accessible digital experiences leveraging modern glassmorphism, responsive grid layouts, and clean DOM manipulation.
- Statistically Disciplined Analytics: Enforcing rigorous data sanitation, physiological zero-value treatment, and stratified cross-validation.
- Clean Object-Oriented Engineering: Applying design patterns, encapsulation, and unit-tested separation of concerns in Java.
flowchart LR
subgraph Data & Intelligence Tier
A1[Data Cleaning & Imputation] --> A2[Feature Engineering & EDA]
A2 --> A3[Machine Learning & Deep Neural Nets]
end
subgraph Service & Application Tier
A3 --> B1[Model Serving: Streamlit & Python]
B1 --> B2[Full-Stack Web Portals: HTML5 / CSS3 / JS]
B1 --> B3[Executive Dashboards: Power BI & DAX]
end
subgraph Systems Tier
B2 & B3 --> C1[Object-Oriented Java Modules]
C1 --> C2[Production Version Control & GitHub Pipelines]
end
Direct links to the source code, architecture, and documentation for each project across my GitHub profile:
| Category | Technologies & Tools |
|---|---|
| Programming Languages | Python 3.9+, Java (JDK 11, 17, 21), SQL, JavaScript, HTML5, CSS3 |
| AI, Deep Learning & NLP | PyTorch, TensorFlow, Keras, Hugging Face Transformers, StyleGAN2-ADA |
| Data Science & Analytics | Pandas, NumPy, Scikit-Learn, SciPy, Matplotlib, Seaborn |
| Business Intelligence | Microsoft Power BI Desktop, DAX, Power Query ETL |
| Web & App Development | Streamlit, Glassmorphic CSS, Flexbox/Grid, Responsive Web Design |
| Developer Tools | Git, GitHub CLI, JupyterLab, Visual Studio Code, IntelliJ IDEA |
# Clone the master profile showcase
git clone https://github.com/Jeshwanthika07/Jeshwanthika07.git
cd Jeshwanthika07
# Clone any specific project (e.g., Bias Detector Project)
git clone https://github.com/Jeshwanthika07/bias-detector-project.gitJeshwanthika07/
βββ header_banner.svg # Waving dynamic cosmic violet SVG header banner
βββ footer_banner.svg # Matching cosmic violet SVG footer banner
βββ README.md # Official GitHub profile README and portfolio showcase
βββ LICENSE # Open-source MIT license
Jeshwanthika Pothamchetty
Bachelor of Computer Applications (Hons) | Department of Computer Applications, Alliance University
- GitHub Profile: @Jeshwanthika07
- Email Contact: pjeshwanthika9@gmail.com