Noman Dilawar
Delivering Real-World AI Solutions | 8+ Years in Software Development, Machine Learning, NLP & Computer Vision | Experienced in Building AI Products That Drive Impact
Updated 8 months ago
13+
Years Experience
14
Roles
30
Skills
5
Education
About
As a specialist in developing and pioneering solutions with Computational Linguistics and Computer Vision, I possess strong expertise in deep learning techniques and advanced Python programming, utilizing ML frameworks such as PyTorch, TensorFlow, and OpenCV, as well as LLMs and VLMs platforms like LLaVA, OpenAI and Azure. I have a proven track record of delivering high-impact solutions and collaborating with clients and cross-functional teams, effectively translating business requirements into innovative data-driven approaches. Note: The views expressed on this platform are my own and may not necessarily reflect the views of my company or any of its officials.
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Experience (14 roles)
Senior Machine Learning Engineer - Remote
Currenthelped me get this job Working on cutting edge NLP and Computer Vision projects. I develop end-to-end machine learning solutions for the team and occasionally contribute to backend development for seamless product integration. Skills: OpenAI API · Deep Learning · Large Language Models (LLM) · Natu...
Tech Lead (ML/AI)
Responsible for delivering end to end data science solutions for the clients. I work mostly in the areas of computational linguistics, data analytics, time series forecasting and explainable AI Skills: Amazon Web Services (AWS) · Computer Science
Senior Data Scientist
I work with a team that develops solutions to automatically understand digitised radiology reports using rule based & machine learning models Skills: Amazon Web Services (AWS) · Python (Programming Language) · Computer Science · Machine Learning · Natural Language Processing (NLP)
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Education (5)
National University of Computer and Emerging Sciences
2017 - 2017
➡ Topics Covered: • Algebraic and Probabilistic Views of Data, Data Exploration, Projection & Visualization • Decision Trees For Classification & Regression. Evaluation Metrics (Accuracy, Precision-Recall,AUC) • Machine Learning Fundamentals & Introduction to Bayesian Predictive Modeling • Bias-Variance Tradeoff. Diagnosis of Machine Learning Systems. • Random Forests for Classification & Regression. • Adaptive and Gradient Boosting (XGBoost) • Linear Regression. (Hypothesis, Cost Function, Gradients). • Gradient Descent and Stochastic Gradient Descent • Linear Classification (Binary & Multiclass). Perceptron. • Logisitic Regression and Softmax (with complete cost functions & gradients) • (Kmeans, Hierarchical Clustering) and dimensionality Reduction (SVD)
National University of Computer and Emerging Sciences
2014 - 2016
Grade: CGPA (3.55) ►Thesis Title: Sentence Aspect Category Detection using Neural Networks GitHub: https://github.com/Nomiluks/Aspect-Category-Detection-Model ►Research Contributions: * Proposed multiple methods to represent sentences in continuous vector spaces. * Outperformed in the global "Aspect Category Detection" competition SemEval-2016 Task 5 challenge. ► I have gained applied level knowledge in Artificial Intelligence regarding Deep/Machine learning and Evolutionary algorithms. Defense Presentation_updated.pptx
GIFT UNIVERSITY GUJRANWALA, PAKISTAN
2008 - 2012
Grade: CGPA (3.28) Final year project - OCR for Handwritten Text My team developed an Android app from scratch to recognize handwritten document images. ► Responsibilities: 1. Bounded box algorithm to extract region of interest (text area) a document. 2. External and internal text segmentation for joining handwritten text. 3. Collected handwriting samples of 70 persons. 4. Multi-class multi-layer preceptron model to learn hand written characters. 5. Trained Multi-class machine model in java for Android platform. Hand written OCR Presentation.pptx
Skills (30)
Certifications (5)▼
Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning
Coursera
Certificate of Publication
MDPI
Data Science Boot Camp
National University of Computer and Emerging Sciences
HIPAA Awareness for Business Associates
HIPAA Training
DFA COHORT 5 -- Certificate of Participation
Dubai Future Accelerators
Publications (1)▼
Understanding Citizen Issues through Reviews: A Step towards Data Informed Planning in Smart Cities
MDPI- Applied Sciences — Open Access Journal · Sep 7, 2018
Languages (2)▼
Volunteer Experience (3)▼
Visiting Lecturer
GIFT UNIVERSITY GUJRANWALA, PAKISTAN
Mar 2017 - Jun 2017 · 4 mos
Programming Advisor
The University of Lahore
Oct 2016 - Apr 2017 · 7 mos
Member of BSSE Accrediation Committee
The University of Lahore
Jan 2017 - Apr 2017 · 4 mos
Honors & Awards (2)▼
Software Competition
Issued by GIFT University · Apr 2012
Associated with GIFT UNIVERSITY GUJRANWALA, PAKISTAN Won best project idea award in Software Competition at GIFT University
Programming Advisor
Issued by University of Lahore Software Computing Society · Nov 2016
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