I build practical, scalable, and reliable solutions across full-stack development, software engineering, artificial intelligence, machine learning, data science, data analysis, web scraping, and automation.

My work includes web applications, backend APIs, AI-powered systems, machine-learning models, data-processing pipelines, browser automation, scraping tools, and database-driven applications.

• Full-Stack Development
• Software Engineering
• AI & Machine Learning
• Generative AI & LLM Applications
• Data Science
• Data Analysis
• Web Scraping
• Web Crawling
• Workflow Automation
• Browser Automation
• Backend Development
• Frontend Development
• REST API Development
• API Integration
• Data Extraction
• Data Cleaning
• Data Processing
• Database Integration
• Excel Automation

Python TypeScript JavaScript C++ C# SQL

React TypeScript JavaScript

FastAPI Flask REST APIs SQLAlchemy JWT Requests

Flutter

PyTorch TensorFlow Keras Scikit-learn XGBoost ONNX Machine Learning Deep Learning Computer Vision

LangChain LLM Applications AI Integration Prompt Engineering

NumPy Pandas Polars SciPy Matplotlib Seaborn

Data Analysis Data Cleaning Data Processing Data Visualization

PostgreSQL MySQL SQLite SQL Microsoft Excel

Selenium Scrapy Beautiful Soup Requests

Web Crawling Data Scraping Data Extraction Browser Automation API Integration

Git GitHub Docker Railway

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A full-stack AI-powered agriculture management platform designed around a structured User → Farm → Field → Crop workflow.

• Farm, field, and crop management
• JWT-based authentication
• Crop disease detection
• Fertilizer recommendations
• Irrigation recommendations
• Weather integration
• AI-powered agriculture assistance
• Farm and crop history management
• REST API architecture
• Relational database integration
• ML model integration
• Full frontend/backend integration

React TypeScript FastAPI Python PostgreSQL SQLAlchemy Alembic ONNX XGBoost

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A Python automation system for industrial manufacturer part lookup, product-data extraction, validation, and Excel enrichment.

• Automated manufacturer part lookup
• Web scraping and data extraction
• Manufacturer-specific search workflows
• Product-data validation
• Excel workbook enrichment
• Search API integration
• Data normalization
• Confidence-based matching
• Page-content validation
• Local caching
• Resumable processing
• Audit logging
• Automated workflows
• Browser and HTTP-based extraction

Python Requests Beautiful Soup Selenium Excel SQLite SerpAPI Automation

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An AI-powered computer vision system for multi-class fruit image classification using deep learning.

• Image classification
• CNN-based deep learning
• Image preprocessing
• Data augmentation
• Model training
• Model evaluation
• Real-time prediction
• Backend API integration

Python TensorFlow Keras Computer Vision Deep Learning FastAPI

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A full-stack application designed around bill splitting, payment tracking, and digital payment-management workflows.

• Bill splitting
• Payment tracking
• QR-based utilities
• Authentication and authorization
• JWT-secured APIs
• Email workflows
• REST API development
• Frontend/backend integration
• Relational database management
• Containerized deployment

React Flask Python MySQL SQLAlchemy JWT Docker Railway

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A C++ implementation of a complete lossless data-compression and decompression pipeline using multiple compression algorithms.

RLE → BWT → MTF → RLE → ANS

• Lossless compression
• Complete encoding pipeline
• Complete decoding pipeline
• File reconstruction
• Algorithm implementation
• Data structures
• File processing
• Compression-performance evaluation
• Comparison with BZIP2

C++ Algorithms Data Structures File Processing Data Compression

I develop complete applications by combining modern frontend interfaces, backend APIs, authentication, databases, and deployment workflows.

I build structured, maintainable software systems with a focus on clean architecture, reusable components, APIs, and practical problem solving.

I work with machine-learning and deep-learning technologies to build intelligent systems for classification, prediction, computer vision, and application-level AI integration.

I work with LLM-based application development, AI integrations, LangChain workflows, prompt-based systems, and intelligent application features.

I use Python's data ecosystem for numerical computing, data manipulation, statistical analysis, visualization, preprocessing, and machine-learning workflows.

NumPy Pandas Polars SciPy Matplotlib Seaborn Scikit-learn

I build automated systems for collecting, cleaning, validating, and structuring information from websites and APIs.

Selenium Scrapy Beautiful Soup Requests

I develop Python-based automation solutions for:

• Repetitive business workflows
• Browser automation
• Data collection
• Excel processing
• API interactions
• Scheduled processing
• Data validation
• File-processing workflows

• Full-stack web applications
• Backend systems
• REST APIs
• AI-powered applications
• Machine-learning solutions
• Deep-learning applications
• Computer vision systems
• LLM applications
• Python automation tools
• Web scraping systems
• Web crawlers
• Data extraction pipelines
• Data-cleaning workflows
• Data-processing systems
• Data-analysis solutions
• Data visualizations
• Excel automation tools
• Browser automation systems
• API integrations
• Database-driven applications
• React applications
• Flutter applications
• Custom business automation solutions
• Algorithm-based software utilities

Explore my repositories to see practical projects across:

Full-Stack Development • Software Engineering • AI/ML • Data Science • Data Analysis • Web Scraping • Automation

Each featured repository demonstrates hands-on implementation of real applications, APIs, intelligent systems, data workflows, and automation tools.

I'm open to opportunities involving:

Full-Stack Development • Software Engineering • AI/ML • Generative AI • Data Science • Data Analysis • Web Scraping • Automation