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Presentation
Hi, I’m Tahir. I work as a Researcher and AI Engineer, specializing in building smart, practical AI systems and data pipelines that solve real-world problems.
I don't believe in one-size-fits-all tech. Instead, I bridge the gap between complex machine learning theory and the actual, everyday needs of your project. Whether you want to integrate generative AI into your current workflow, build an intelligent custom chatbot, or pull meaningful insights out of messy visual and textual data, I'm here to build a tailored solution that scales.
What I Can Help You Build:
Generative AI & Autonomous Agents: Designing smart, multi-agent systems and customized AI workflows using LangChain and LangGraph.
Intelligent Search & RAG: Building highly accurate Retrieval-Augmented Generation (RAG) systems (like the hybrid keyword/semantic search systems I've built for legal tech) powered by vector databases like FAISS and Chroma.
Natural Language Processing (NLP): Setting up custom text pipelines, semantic analysis, embeddings, and fine-tuning transformer models.
Computer Vision & Deep Learning: Developing object detection and advanced image analysis pipelines utilizing models like YOLO.
Core Machine Learning & Data Science: Handling everything from data preprocessing and feature engineering to predictive modeling and optimization using Python (NumPy, Pandas, Scikit-Learn).
Why Work With Me?
Because of my background as a Research Assistant at NUST, I spend every day staying on top of where AI is heading next. I don't just copy-paste generic code; I look closely at your specific goals to design a custom, data-driven approach that ensures accuracy and efficiency.
Let's team up and turn your data and ideas into impactful, intelligent systems!
I don't believe in one-size-fits-all tech. Instead, I bridge the gap between complex machine learning theory and the actual, everyday needs of your project. Whether you want to integrate generative AI into your current workflow, build an intelligent custom chatbot, or pull meaningful insights out of messy visual and textual data, I'm here to build a tailored solution that scales.
What I Can Help You Build:
Generative AI & Autonomous Agents: Designing smart, multi-agent systems and customized AI workflows using LangChain and LangGraph.
Intelligent Search & RAG: Building highly accurate Retrieval-Augmented Generation (RAG) systems (like the hybrid keyword/semantic search systems I've built for legal tech) powered by vector databases like FAISS and Chroma.
Natural Language Processing (NLP): Setting up custom text pipelines, semantic analysis, embeddings, and fine-tuning transformer models.
Computer Vision & Deep Learning: Developing object detection and advanced image analysis pipelines utilizing models like YOLO.
Core Machine Learning & Data Science: Handling everything from data preprocessing and feature engineering to predictive modeling and optimization using Python (NumPy, Pandas, Scikit-Learn).
Why Work With Me?
Because of my background as a Research Assistant at NUST, I spend every day staying on top of where AI is heading next. I don't just copy-paste generic code; I look closely at your specific goals to design a custom, data-driven approach that ensures accuracy and efficiency.
Let's team up and turn your data and ideas into impactful, intelligent systems!
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Background
Research Assistant
Developed a novel, end-to-end Multimodal Deep Learning Architecture designed to fuse heterogeneous data sources (such as tabular features, time-series signals, and high-resolution imaging) for high-accuracy diagnostic and predictive modeling. The core research focuses on overcoming data disparity by engineering custom feature extraction pipelines for each modality, followed by an advanced fusion layer that captures complex cross-modal interactions. By optimizing latent space representations, the architecture significantly mitigates the loss of clinical context, delivering highly robust, scalable, and interpretable classification performance across diverse multi-source datasets.
Coding Fellow
Served as a Coding Fellow at Murabbi, delivering hands-on STEM education in Robotics, AI, and Cyber Security for young innovators. I translated complex tech concepts into practical training sessions—guiding students through building robotics projects and mastering machine learning fundamentals. Managed intensive bootcamps and training initiatives run in collaboration with NUST to empower the next generation of tech talent.
MS CS
Pursuing an MS in Computer Science at NUST, focusing on Advanced Deep Learning, NLP, and Computer Vision. As an active Research Assistant, I bridge academia and industry by building practical, real-world AI applications—including intelligent multi-agent workflows, semantic search engines, and custom Hybrid RAG systems. I leverage this strong research foundation to deliver highly optimized, scalable, and data-driven solutions.
🇬🇧English 🇵🇰Urdu
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Working hours
Monday
From08h00To18h00
Tuesday
From08h00To18h00
Wednesday
From08h00To18h00
Thursday
From08h00To18h00
Friday ▪ Today
From08h00To18h00
Saturday
Closed
Sunday
Closed
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