Talha Iqbal

Experience

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  Codistan Ventures

  Jul 2022 - Sept 2022

  Software Engineer

  • Collaborated with the development team to build and maintain various web-based applications andwebsites.• Acquired hands-on experience with modern web development practices, including responsive design,accessibility, and user experience design.• Demonstrated coding proficiency by writing clean, maintainable code and implementing bug fixes.• Contributed to code reviews, identifying potential improvements and learning from peers.

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  Centrox AI

  Aug 2023 - Nov 2023

  AI/ML Engineer

  • Developed and deployed advanced LLMs, including BERT and GPT-3, using transfer learning and fine-tuningto tackle complex NLP challenges, enhancing the company's capabilities.• Collaborated with cross-functional teams to gather requirements, design end-to-end AI pipelines, andimplement cutting-edge algorithms, leveraging neural networks, deep learning frameworks, and reinforcementlearning for efficiency and innovation.• Conducted extensive data analysis, GPU-accelerated model training with optimized hyperparameters, andutilized ensemble learning techniques, resulting in improvements in model performance in various domains Show less

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  Zong CMPak Ltd

  Nov 2023 - Sept 2024

  Data Engineer

  • Proficiently managed GaussDB and Hadoop systems, overseeing ETL pipelines, daily operations monitoring, and troubleshooting tasks, ensuring seamless data flow and system stability.• Utilized Unica and DMC campaign management tools for messaging campaigns, orchestrating operations to optimize campaign performance and drive engagement.• Implementation of advanced anomaly detection techniques and automated remediation processes, upholding system resilience and minimizing downtime in production environments. Show less

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  Nokia

  Nov 2024 - now

  Data Science Trainee

  • Transforming complex external data using AI models and data engineering techniques on Azure, Databricks, and BigQuery, ensuring structured and analytics-ready datasets.• Building and optimizing scalable ETL pipelines to streamline data ingestion, transformation, and processing for enhanced business insights and predictive analytics.• Leveraging machine learning models and automation to improve data quality, accelerate decision-making, and support advanced analytical use cases.