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Zeeshan A. - Fullstack Developer, LangChain, Frontend

At Softaims, I’ve found a workplace that thrives on collaboration and purposeful creation. The work we do here is about more than technology—it’s about transforming ideas into results that matter. Every project brings a mix of challenges and opportunities, and I approach them with a mindset of continuous learning and improvement. My philosophy centers around three principles: clarity, sustainability, and impact. Clarity means designing systems that are understandable, adaptable, and easy to maintain. Sustainability is about building with the future in mind, ensuring that the work we do today can evolve gracefully over time. And impact means creating something that genuinely improves how people work, connect, or experience the world. One of the most rewarding aspects of working at Softaims is the diversity of thought that every team member brings. We share insights, question assumptions, and push each other to think differently. It’s this culture of curiosity and openness that drives the quality of what we produce. Every solution we deliver is a reflection of that shared dedication. I’m proud to contribute to projects that not only meet client expectations but also exceed them through thoughtful execution and attention to detail. As I continue to grow in this journey, I remain focused on delivering meaningful outcomes that align technology with purpose.

Main technologies

  • Fullstack Developer

    6 years

  • Python

    3 Years

  • Selenium

    5 Years

  • Bot Development

    4 Years

Additional skills

  • Python
  • Selenium
  • Bot Development
  • Data Science
  • node.js
  • Automation
  • Artificial Intelligence
  • API
  • ChatGPT
  • Chatbot
  • Django
  • Next.js
  • MERN Stack
  • Web Development
  • LangChain
  • Frontend

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Experience Highlights

PolyGlotMe: FullStack Django

Project Description: Welcome to PolyGlotMe, your passport to the world of languages! Whether you're learning for business or pleasure, PolyGlotMe offers a comprehensive platform for individuals to master languages from around the globe. From essential business languages to those for travel enthusiasts, we've got you covered. Stack That We Use: At PolyGlotMe, we've chosen a robust stack to power our platform: Backend Framework: Django(The core framework for the backend, chosen for its robustness, scalability, and ease of use. Django's ORM (Object-Relational Mapping) simplifies database operations Django Rest Framework: Implemented to create a powerful and flexible API, facilitating communication between the React frontend and the Django backend Authentication And Authorization: Implementation of Django’s built-in authentication system, possibly enhanced with additional packages for features like OAuth) Database: Postgres, managed with Docker Version Control: Git with pipeline integration for seamless deployment Features: Language Learning: Dive into a rich selection of languages tailored to various needs, including business, travel, and personal enrichment. Payment Method: PolyGlotMe offers a secure payment gateway for users to subscribe to language courses or purchase learning materials. Online Classes: Join live classes conducted through platforms like Zoom, where experienced instructors guide students through immersive language learning experiences. Assignment Submission Portal: Stay on track with coursework by submitting assignments directly through the platform, ensuring seamless communication between students and instructors. Quizzes and Assessments: Test your language skills with interactive quizzes and assessments designed to reinforce learning and track progress. Deployment: PolyGlotMe is deployed using Docker for containerization, ensuring consistent environments across development, testing, and production. With Git pipeline integration, updates are seamlessly deployed to our platform, allowing us to continuously improve and expand our offerings to language learners worldwide.

Opportunify (Django+Angular)

Project Description: Welcome to Opportunify - your ultimate destination for seamless job hunting! We've crafted a platform that combines cutting-edge technology and innovative features to simplify the job search process for both job seekers and recruiters. From aggregating job opportunities to providing insightful analytics, Opportunify is your go-to solution for navigating the world of employment with ease. Stack That We Use: At Opportunify, we've assembled a powerful stack to drive our platform forward: 1. Frontend: Angular(Angular is a popular frontend framework that allows us to create dynamic and interactive user interfaces. It's like the face of our platform, providing users with a seamless experience as they navigate through job listings and company profiles.) 2. Backend: Django(The core framework for the backend, chosen for its robustness, scalability, and ease of use. Django's ORM (Object-Relational Mapping) simplifies database operations Django Rest Framework: Implemented to create a powerful and flexible API, facilitating communication between the React frontend and the Django backend Authentication And Authorization: Implementation of Django’s built-in authentication system, possibly enhanced with additional packages for features like OAuth) 3. Additional Tools: Ninja APIs, ChatGPT, Scrapers, Crawlers,Stripe Payment Gateway 4. Deployment: Git, Pipeline for Auto Deployment, AWS,docker,Postgres Database Features: Job Opportunity Aggregation: We scrape data from over 80 top companies and recruiters, ensuring that users have access to the latest job openings all in one place. Insightful Analytics: Our platform offers comprehensive stats pages, providing users with valuable insights into job trends on a daily, weekly, monthly, and yearly basis. Multi Portals: We provide separate portals for companies and students. Students can access job opportunities and upload their CVs, while companies can browse student profiles and search for potential candidates. AI Matching Algorithm: Our backend incorporates an AI model that matches students with job opportunities based on their skills and parameters specified by companies, streamlining the job matching process. Deployment: We deploy Opportunify using Git and a pipeline for auto-deployment, hosted securely on AWS. This ensures seamless deployment and scalability as our platform continues to grow and evolve.

Fintech Dashboard : Integrated Financial & HR Dashboard

Project Overview A Django-based financial and employee management dashboard offering a streamlined, secure platform for efficiently handling employee data, ESOP plan configurations, and secure document storage. Designed to simplify and enhance the management process, it integrates robust features such as OAuth authentication, personalized user interfaces, and comprehensive data encryption. This dashboard serves as a vital tool for organizations looking to optimize their financial and human resource operations. Project Features Authentication And User Management OAuth Integration: Utilizing OAuth for secure login process Account Creation Control: Mechanism to allow account creation only for verified customers Security Features: Implementation of password reset using email Dashboard Home Screen Personalized User Interface: Customized header with user-specific information and image display Activity Checklist: Checklist for tracking key activities with due dates and completion status Administrative Controls: Features for admins to update and manage task statuses Core Functional Modules Employee Management Display and management of employee details Encrypted form for adding or editing employee data Document Manager Secure and encrypted document upload and storage capabilities Organized display of files by year and quarter, with dynamic folder creation ESOP Plan Design Interface for managing ESOP plans with various configurable parameters Technical Stack And Tools Frontend Development React: Utilized as the primary library for building the user interface. React's component-based architecture facilitates efficient development of interactive UIs React Router: Employed for handling navigation within the React application, ensuring a seamless user experience across different dashboard components Context Api: For state management within the React application, providing a consistent and predictable state container across the app Backend Development Django: The core framework for the backend, chosen for its robustness, scalability, and ease of use. Django's ORM (Object-Relational Mapping) simplifies database operations Django Rest Framework: Implemented to create a powerful and flexible API, facilitating communication between the React frontend and the Django backend Authentication And Authorization: Implementation of Django’s built-in authentication system, possibly enhanced with additional packages for features like OAuth Database PostgreSQL: Chosen as the relational database management system, known for its reliability, feature robustness, and performance. PostgreSQL effectively handles complex queries and large datasets, making it ideal for financial and employee data management Deployement And Hosting Fly.io: Used for hosting the application, providing an easy-to-use platform for deployment, testing, and showcasing the project Docker: For containerizing the application, ensuring consistent environments across development, testing, and production Version Control And Collaboration Git: For version control, tracking changes in the source code during development. Github: As the online repository hosting service, facilitating collaboration among team members.

Whatsapp Chatbot Using GPT4 Openai Apis

WhatsApp Chatbot with ChatGPT Integration for Medical Research Business This chatbot is engineered to function as a customer service tool, specifically addressing queries related to pricing and other business-related concerns. By harnessing the advanced capabilities of GPT-4, it ensures efficient and accurate responses.Technical Details: Integration with WhatsApp APIs: The bot operates using both official business and unofficial non-business WhatsApp APIs. Training Data: It has been trained on a dataset comprising more than 500 chat data embeddings. Each chat line in this dataset contains up to 300 tokens, providing a rich and nuanced training background. Client Interaction History: The bot leverages previous client chat histories to tailor its responses more effectively to individual clients. Key Features: ChatGPT-like Responses: Utilizes GPT-4 model APIs to generate responses that are similar in style and accuracy to ChatGPT. Business-Specific Training: The bot's responses are generated from data that has been specifically curated for business chats, ensuring relevance and appropriateness in a professional context. Data Handling: Data Scraping: Previous chats from the WhatsApp chatbot are scraped to continuously improve the response quality. Data Embedding: Utilizes the Ada model from OpenAI for embedding the data, with the dataset featuring more than 500 chat embeddings, and each line containing 300 tokens. Pinecone Database: Pinecone for storing vector data, enhancing the bot’s ability to retrieve and process information efficiently.

Law-Gpt Contract & Clause AI-Driven Legal Assistant

Law-Gpt(Contract & Clause Genie: AI-Driven Legal Assistant for Contract Drafting and Legal Research) Objective: a user-friendly chatbot to assist users "Contract & Clause Genie" simplifies legal work with: ●Customized contract and clause drafting. ●Contract reviews and summaries. ●Legal research and document drafting. ●Legal analysis, writing, and terminology support. ●User query assistance. Description: This AI-driven chatbot streamlines legal processes, offers up-to-date legal information, and generates precise documents. It aids in legal research, brief drafting, and contract reviews, making legal tasks faster and more accurate. Explore its pages for tailored legal assistance. Data Sources: Online databases, forums and law assistant sites. Data Mapping: Description: Categorize and map the gathered data to specific query types to facilitate efficient data retrieval. PHP CodeIgniter UI: Description: Design and implement the user interface for the chatbot using PHP CodeIgniter. Features: User-friendly interface, responsive design, accessibility features. Knowledge Base: Description: Created a comprehensive knowledge base that the chatbot can reference to provide informed responses. Content: Detailed information about various Clauses and Law Contracts. OpenAI API Integration:

Education

  • Data Scraping | Extraction | Web Automation

    in

    2016-01-01-2017-01-01

  • Django Full Stack Web Developer

    in

    2017-01-01-2023-01-01

  • The University of Lahore | UOL

    Bachelor of Computer Science (BCompSc) in Computer science

    2014-01-01-2018-01-01

Languages

  • English