Data Engineering Projects in Lahore
Data Engineering Projects in Lahore
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6
Toolshed (Data, Automation, AI Agents, Framer, Retool)
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Construction FP&A & Revenue AI Platform
6
306
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1
Umar Abdullah
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Senior Browser Developer | Custom Chromium Browser Development
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295
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1
Spacebar Technologies
Instacoach
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10
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1
Taziem Uddin
pro
No More Mondays: $1M+ Traced, Deal by Deal
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5
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0
Advancing Data Solutions
pro
Real-Time Analytics Platform on AWS
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1
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Arslan Mehmood
AI-Powered PDF Data Extraction My role: AI Data Processing and Extracton Engineer Organizations often struggle to extract structured and useful information from large volumes of unstructured PDF documents. I developed a flexible AI-powered data extraction solution that allows users to define the specific entities and fields they want to retrieve. The system processes different PDF formats, identifies relevant information, and converts it into structured, usable data. The solution reduces manual document processing, improves retrieval accuracy, and can be adapted to different document types and business requirements. A working demo link is attached.
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86
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1
Muneeb Bhatti
Shakehand- Ai cold emailing plateform
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55
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Tanveer Hussain
RAG Pipeline Implementation
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70
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1
Usman Haider
Worked on an RLHF (Reinforcement Learning from Human Feedback) pipeline focused on dataset creation, data annotation, and model evaluation. My role involved designing and curating high-quality prompt datasets, reviewing AI-generated responses, and providing structured feedback based on accuracy, relevance, safety, and helpfulness. Contributed to improving model performance by ensuring consistent evaluation standards and high-quality human feedback for training alignment and refinement.
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133
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2
Umaima Iqbal
AuraExtract — Intelligent Invoice & Receipt Data Extractor The extraction engine uses intelligent regex pattern matching that handles real-world invoice layouts — column-per-line PDF formats, inline tabular formats, and plain text documents. It detects 10 fields automatically and parses up to 20 line items per invoice. Supports PDF, TXT, and DOCX formats. Includes a raw text preview panel so users can verify exactly what the engine is reading. CSV export includes both the summary fields and full line items table — ready to open directly in Excel. Pure Python. Zero external dependencies beyond pypdf for PDF reading.
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157
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0
Abu Sufyan
Severance Calculator
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39
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Muhammad Umair
A Python pipeline that reads incoming payment documents PDFs, scans, spreadsheets, even phone photos and turns them into database-ready JSON for a logistics company's accounting system. The hard part wasn't extraction, it was trust. In accounting, a wrong number is worse than no number, so the pipeline never guesses: anything ambiguous comes back as null with a note, and every run reconciles sums and counts to the exact cent before it returns anything.
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44
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Shahroz Naeem
Case Study: Building Pipelines & Visualizations for Insights
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9
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Fariha Muazzam
At Formulatrix, I led the development of a computer vision pipeline for RockMaker, a biotech product used in crystallization experiments. I built and deployed object detection and image classification models that improved scoring accuracy by 13%, reducing manual effort for scientists and increasing customer satisfaction. The solution was productionized with Docker and CI/CD pipelines, ensuring scalability and reliability across client sites.
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278
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Ameer Hamza
Trial Track Pro
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15
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Ali Haidar
Kombea – Conversational AI for Contact Centers
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8
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