Data Engineering Projects in Lahore
Data Engineering Projects in Lahore
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4
Toolshed (Data, Automation, AI Agents, Framer, Retool)
max
Development of Financial Management Platform for Vergo
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256
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1
Spacebar Technologies
Instacoach
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6
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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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104
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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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27
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Abu Sufyan
Severance Calculator
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29
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Tanveer Hussain
pro
RAG Pipeline Implementation
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57
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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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115
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Shahroz Naeem
Case Study: Building Pipelines & Visualizations for Insights
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7
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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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263
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Ameer Hamza
Trial Track Pro
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12
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Wali Murtaza
Artificial Intelligence, Machine Learning & Data Engineering to train churn_modeling ANN model.
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83
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Afaq Ahmed
Digital SME Lending Platform Development
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5
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Ismaeel Haider
Neustreet
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6
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1
startup jungle
Python programming, and Praat for Speech Analysis
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1
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ali raza
Deep learning model for QC of lithographs
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2
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Muhammad Hassan
Realiste.ai
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3
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