I am a results-driven Data Scientist and AI Implementation Specialist with a Master's in Information Technology. I have extensive experience leveraging data to drive business growth and improve operational efficiency. My expertise includes automating complex workflows and deploying scalable AI applications. I'm passionate about using technology to create impactful solutions and continuously learning new skills in the evolving field of AI.…

Ibadur Rehman

I am a results-driven Data Scientist and AI Implementation Specialist with a Master's in Information Technology. I have extensive experience leveraging data to drive business growth and improve operational efficiency. My expertise includes automating complex workflows and deploying scalable AI applications. I'm passionate about using technology to create impactful solutions and continuously learning new skills in the evolving field of AI.…

Available to hire

I am a results-driven Data Scientist and AI Implementation Specialist with a Master’s in Information Technology. I have extensive experience leveraging data to drive business growth and improve operational efficiency. My expertise includes automating complex workflows and deploying scalable AI applications. I’m passionate about using technology to create impactful solutions and continuously learning new skills in the evolving field of AI.

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Skills

Experience Level

Data Science
Expert
Python
Expert
SEO
Expert

Language

English
Fluent
Hindi
Fluent
Marathi (Marāṭhī)
Advanced
Urdu
Advanced
Arabic
Intermediate

Work Experience

Data Scientist & AI Implementation Specialist at Altech Star Solutions
November 1, 2022 - Present
Leading end-to-end AI orchestration and translating high-level business use cases into production-ready AI agents. Focusing on measurable operational improvements and scalability, while standardizing AI workflows across departments.
SEO Executive (Data Focused) at AvenData Technology
February 1, 2020 - October 1, 2022
Developed frameworks for automating SEO audits and content identification while monitoring performance metrics to identify competitor gaps and market opportunities.

Education

Master of Information Technology at SRTMU Nanded
January 1, 2020 - January 1, 2022
Bachelor of Computer Science at SRTMUN Nanded
January 1, 2016 - January 1, 2019

Qualifications

Certified Prompt Engineer
January 1, 2022 - March 1, 2026
AZ-104: Azure Administrator Associate
January 1, 2022 - March 1, 2026

Industry Experience

Computers & Electronics, Professional Services, Software & Internet
    paper Auto-Archive: AI-Powered Smart Vault

    Auto-Archive is a full-stack document intelligence platform that transforms disorganized files into a structured, searchable digital vault. By leveraging LLMs (Large Language Models), the application automatically classifies, summarizes, and extracts metadata from user-uploaded images, links, and PDFs.
    🚀 The Problem
    Digital clutter makes finding specific information in receipts, notes, and IDs time-consuming. Auto-Archive automates the manual work of organizing files, using an AI-first approach to ensure data is categorized the moment it hits the server.

    🏗️ System Architecture
    The application utilizes a serverless-first approach to ensure scalability and low maintenance:

    File Ingestion: Files are securely uploaded via a dedicated API to cloud storage.
    AI Pipeline: A Next.js Server Action triggers an asynchronous call to the GPT-4o model to analyze the file content.
    Persistence: Extracted metadata (category, summary, key entities) is saved to a PostgreSQL database.
    Instant Updates: The UI is updated via revalidatePath, providing a seamless “zero-refresh” user experience.
    🛠️ Tech Stack & Technical Decisions
    Framework: Next.js 15 (App Router)—chosen for React Server Components (RSC) to minimize client-side JavaScript bundle sizes.
    Language: TypeScript—implemented for end-to-end type safety from the database schema to the UI components.
    Database: PostgreSQL (via Neon)—A relational model was selected over NoSQL to handle complex metadata relationships and ensure ACID compliance.
    ORM: Prisma—Utilized for type-safe database migrations and high-level abstraction of SQL queries.
    AI Engine: OpenAI GPT-4o—integrated for high-accuracy vision analysis and semantic summarization.
    Styling: Tailwind CSS + Shadcn UI—for a maintainable, design-system-driven interface.
    ✨ Key Features
    🔍 Semantic Search: Find documents based on their content and AI summaries rather than just filenames.
    🏷️ Auto-Categorization: Intelligent detection of document types (e.g., “Medical,” “Financial,” “Personal”).
    📱 Mobile-First Design: Fully responsive dashboard allowing users to archive documents via smartphone camera.
    🔒 Secure Vault: User-specific data isolation ensuring users only access their uploaded documents.
    🚀 Installation & Local Development
    Prerequisites
    Node.js 18+
    A Neon.tech (PostgreSQL) account
    An OpenAI API Key