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Abdul B. AI, Machine Learning and NLP Platforms

My name is Abdul B. and I have over 6 years of experience in the tech industry. I specialize in the following technologies: Python, Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, etc.. I hold a degree in Bachelor of Computer Applications. Some of the notable projects Iโ€™ve worked on include: Smart Meeting Summarizer using OpenAI & Whisper, Emotion-Aware Voice Chatbot using Azure AI, LinkedIn Profile Scrapper, AI-Powered Shoplifting Detection System, Ebay Product Hunter, etc.. I am based in Jahanian, Pakistan. I've successfully completed 6 projects while developing at Softaims.

I value a collaborative environment where shared knowledge leads to superior outcomes. I actively mentor junior team members, conduct thorough quality reviews, and champion engineering best practices across the team. I believe that the quality of the final product is a direct reflection of the team's cohesion and skill.

My experience at Softaims has refined my ability to effectively communicate complex technical concepts to non-technical stakeholders, ensuring project alignment from the outset. I am a strong believer in transparent processes and iterative delivery.

My main objective is to foster a culture of quality and accountability. I am motivated to contribute my expertise to projects that require not just technical skill, but also strong organizational and leadership abilities to succeed.

Main technologies

  • AI, Machine Learning and NLP Platforms

    6 years

  • Python

    3 Years

  • Machine Learning

    5 Years

  • Deep Learning

    5 Years

Additional skills

Direct hire

Potentially possible

Previous Company

Techlogix

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Experience Highlights

Smart Meeting Summarizer using OpenAI & Whisper

- ๐ŸŽ™๏ธ Speech-to-Text: Transcribes meeting recordings with Whisper - ๐Ÿง  Intelligent Summarization: Uses GPT to summarize key points, decisions, and action items - ๐Ÿ—‚๏ธ Organized Output: Highlights main agenda, discussion points, action items, and next steps - ๐Ÿ“ค Exportable: Summaries can be saved as PDF, DOCX, or shared via email/Slack - ๐Ÿ› ๏ธ Tech Stack: Whisper for transcription, GPT for summarization, optional Flask/Streamlit/Gradio for frontend - ๐Ÿ’ก Real-World Impact: Saves time for remote teams, managers, students, and creators

Emotion-Aware Voice Chatbot using Azure AI

- ๐ŸŽค Voice Input & Output: Speak directly to the bot for seamless interaction - ๐Ÿ˜ƒ Emotion-Aware Responses: Bot adapts tone (happy, sad, angry, etc.) based on your voice or text - ๐Ÿ—ฃ๏ธ Neural TTS Voices: Ultra-realistic speech that mimics human emotions - ๐Ÿ’ฌ Dynamic Conversations: Emotional tones change naturally during conversations - ๐Ÿ”ง Tech Stack: Azure Cognitive Services (Speech-to-Text, Text-to-Speech, Emotion Detection), Custom Neural Voice Models, Python/Node.js

LinkedIn Profile Scrapper

This project builds an automated LinkedIn scraper using Selenium WebDriver to extract profile names and email addresses from LinkedIn search results or profile links. The collected data is stored in Excel/CSV format for easy analysis, lead generation, or recruitment. Key features include automated navigation, dynamic XPath selectors, email extraction from publicly visible info, and data export. Ideal for B2B lead generation, recruiter contact extraction, and market analysis.

AI-Powered Shoplifting Detection System

๐Ÿ›’ Shoplifting Detection Project ๐Ÿšจ AI-Powered Real-Time Theft Detection System This project leverages deep learning and computer vision to detect shoplifting behaviors in surveillance videos. Itโ€™s designed for retail environments to reduce theft, improve security, and integrate advanced technology into traditional CCTV systems. ๐Ÿ” What It Does: Classifies actions: normal shopping, taking & buying, shoplifting, and suspicious behavior Analyzes 4-second video clips frame-by-frame, examining motion and context Outputs real-time or batch-mode detection of shoplifting activities

Ebay Product Hunter

๐Ÿ” eBay Product Scraper Extension (600-character description): This Chrome extension scrapes eBay search results in real time, capturing key product details such as title, condition (e.g., Brand New, Pre-Owned), price, shipping info, and direct URLs. Ideal for dropshippers, analysts, arbitrage hunters, and researchers, it exports data to CSV or Excel instantly. No login or API access neededโ€”only public info is extracted. Clean output, ready for Excel, Google Sheets, or custom pipelines.

Education

  • COMSATS Institute of Information and Technology

    Bachelor of Computer Applications in

    2020-01-01-2024-01-01

Languages

  • English