I'm a passionate Software Developer specializing in AI, Automation, and Full-Stack Development. I thrive on solving real-world problems with robust and scalable tech solutions.
🔧 Skilled in Python, Flask, FAST API, React, SQL, WebSocket, Selenium, and AWS, with a strong interest in cloud computing, automation, and AI-driven systems.
A complete suite of multi-functional AI-powered bots built using Google's Gemini 2.5 Pro and Vision models:
- 🧑💼 ATS Resume Analyzer
- 📄 PDF Chatbot
- 🖼️ Image Interpreter
- 🥗 Nutritionist Bot
- 📺 YouTube Summarizer
- 💬 Q&A Chatbot
🧠 Tech Stack: Google Generative AI API, Streamlit, Langchain, FAISS, PDF/Image Handling
An advanced LinkedIn automation tool that:
- Scrapes and applies to jobs relevant to your profile
- Stores job and company details in files
- Extracts recruiter information and email addresses
- Auto-generates tailored emails using LLMs
- Tracks sent mails and schedules reminders
🧠 Tech Stack: Python, Selenium, OpenAI API, Pandas, Gmail API, Regex, Scheduling
A Deribit testnet integration to subscribe to live BTC-Perpetual and Options tickers, log real-time data, and store insights into SQLite DB.
- WebSocket authentication and ticker subscriptions
- Logs payloads into timestamped CSVs
- Queries and views data using a helper script
🧠 Tech Stack: Python, WebSockets, SQLite, Logging, dotenv, REST/WebSocket APIs
Automates data extraction, validation, and cleaning from the BNI website to analyze networking groups and members.
- Extracts and validates structured data using Selenium and BeautifulSoup
- Performs data cleaning and stores results in organized formats for analysis
🧠 Tech Stack: Python, Selenium, BeautifulSoup, Pandas, Jupyter Notebook
Command-line tool to fetch and filter PubMed research papers by excluding non-academic authors.
- Supports CSV, JSON, and SQLite exports
- CLI-powered using Typer
🧠 Tech Stack: Python, PubMed API, SQLite, Typer, Poetry
A machine learning project that predicts diabetes using K-Nearest Neighbors (KNN).
- Data preprocessing & visualization
- Model evaluation using precision, recall, confusion matrix
🧠 Tech Stack: Python, Pandas, Scikit-learn, Matplotlib, Jupyter
AI-powered app suggesting recipes based on your available ingredients, preferences and nutrition info.
- Uses OpenAI to generate custom recipes, steps, and nutrition info
- Dynamic Flask backend that responds to real-time input and preferences
🧠 Tech Stack: Python, Flask, OpenAI API, Langchain
A web-based experience platform for virtual walkthroughs.
- Optimized for mobile and desktop
- Interactive and responsive frontend
🧠 Tech Stack: HTML, CSS, JavaScript
- Cloud-native architecture with AWS
- AI agents & LLM workflows
- Advanced WebSocket and API integrations
I'm open to contributing to AI, ML, Web Automation, or Cloud-Based projects. Let’s build something impactful!
- 📬 Feel free to reach out for collaboration or discussion.
All projects listed here are open-source under the MIT License.