Rupesh Dubey | Systems & Deployments

// Deployed Services

srv.accounting

PROD

Type: Automation System

Stack: Python, n8n, Docker

APIs: Gemini, Telegram

Built a fully automated accounting system to extract, process, and categorize financial data.
Integrated APIs for intelligent document parsing, cloud storage, and automated payment notifications.

Architecture & Under the Hood

Leveraged Python and n8n to orchestrate workflows between Google Drive (document ingestion), Gemini (data extraction), and Telegram (notifications).

Development Process

Used AI coding assistants (Replit, Claude, Codex) extensively for debugging, refactoring, and workflow optimization throughout the development lifecycle.

srv.odm

PROD

Type: CLI Download Manager

Stack: Python, yt-dlp

Developed a cross-platform CLI tool with multi-threaded HTTP/HTTPS request capabilities for fast media downloads.
Implemented real-time terminal progress tracking using Rich.

Engineering Notes

Optimized video/audio handling and merging via yt-dlp and FFmpeg integrations.

srv.automl

ARCHIVED

Type: AutoML Platform

Stack: Streamlit, scikit-learn

Created a Streamlit-based platform for model training, hyperparameter tuning, and visualization.
Integrated Pandas, NumPy, GridSearchCV, Plotly, and SMOTE for a complete ML pipeline.

Pipeline Architecture

Engineered dynamic scikit-learn Pipelines with automated preprocessors (ColumnTransformer, StandardScaler, OneHotEncoder) supporting both classification and regression tasks dynamically based on user input.

Performance Optimization

Integrated GridSearchCV for automated hyperparameter tuning and optional SMOTE oversampling to combat imbalanced classification datasets natively within the pipeline.

srv.face-detector

ARCHIVED

Type: Computer Vision App

Stack: Python, OpenCV

Real-time frontal face detection utilizing webcam feeds and the Haarcascade algorithm.
Implemented efficient per-frame image processing (grayscale conversion, bounding box tracking).

Engineering Notes

Handled live video capture streams via cv2.VideoCapture.

// Operations & Infrastructure

AI & Workflow Tools

Built AI-integrated solutions, connecting external models to enhance application intelligence.
Worked on automation projects, streamlining workflows with n8n and Docker.
Utilized AI tools like Replit, Claude, and Codex for debugging, refactoring, and optimization.

Collaboration & Leadership

Acted as Microsoft Learn Student Ambassador, organizing events and live demos.
Collaborated with Microsoft and peer ambassadors to deliver hands-on sessions.
Promoted Azure and GitHub tools through mentorship, helping peers gain practical skills.

// Technical Skills Engine

Docker, n8n, REST Infra & Orchestration

LangChain, OCR, CV AI Architectures

Multi-threading Performance & Scaling

System Effects:

Engineered autonomous data pipelines, connecting unstructured inputs to structured AI processing nodes.
Designed high-throughput tools and asynchronous architectures, prioritizing resource efficiency and real-time execution.
Leveraged LLM orchestration and Computer Vision to bypass manual workflows, eliminating bottlenecks in extraction and analysis.

// Execution Timeline

Aug 2025 — Feb 2026

Software Development Intern - Growths.in

Remote, IN

Built and maintained workflow automation solutions with n8n, integrating third-party APIs and reducing manual operational effort.
Developed backend systems and APIs for web applications using Python and Node.js, focusing on scalability and performance.
Supported full-stack development activities including debugging, performance optimization, and productivity tool integration.
Used tools like Postman, Git, and AI-assisted debugging tools to improve testing and development efficiency.

Jun 2022 — Jul 2025

BCA (Amity University)

Bachelor of Computer Applications. Building strong theoretical and practical foundations in software development.