Noor Uddin-AI/ML Engineer
Check rate
Experience
LLM Benchmark Reviewer
Pasiflora AI
- Review graduate-to-PhD STEM reasoning benchmarks for self-containment, originality, technical correctness, answer uniqueness, and reproducible step-by-step reference solutions.
- Audit LLM response sets against reference answers and evaluation rubrics, trace failures to specific reasoning steps, and return precise technical feedback before submission.
PyTorch Expert - AI Evaluation
AfterQuery
- Design industry-level PyTorch benchmarks for AI coding agents, targeting subtle failures in tensor layouts, autograd, numerical precision, compilation, and kernel-framework integration.
- Build Docker-based evaluation packages with reference solutions and deterministic fail-to-pass and regression tests, validating broken and corrected implementations end to end.
Machine Learning Engineer - AI Benchmarking
Mercor
- Created and evaluated machine-learning benchmark tasks, validating AI-generated specifications against task objectives and dataset requirements.
- Analyzed task datasets and implemented reference solutions aligned with benchmark specifications and evaluation criteria.
Python Coding Expert - AI Training
Micro.1
- Evaluated and corrected AI-generated code, primarily in Python, against task specifications and review rubrics, resolving functional, logical, and maintainability defects.
- Completed frontend and backend coding tasks, debugging generated implementations and validating functional behavior.
LLM and Agentic AI Engineer
Turing.com
- Executed Python-based LLM post-training and evaluation workflows for SFT and RLHF, creating and reviewing model responses for coding and data-analysis tasks.
- Evaluated agentic model behavior across multi-step tasks and documented technical findings; earned promotion to Secondary PoD Lead for review quality and delivery coordination.
AI/ML Engineer
DME (Data Machine Elite)
- Architected a Keras-based Multi-Scale CNN-LSTM for cellular-network anomaly detection, fusing 32- and 64-filter CNN features with stacked LSTMs and a sigmoid classifier; built EDA, SMOTE, binary cross-entropy, and evaluation pipelines that achieved 99% accuracy and 98% anomaly-class F1-score.
- Implemented cross-dataset transfer learning by reusing trained weights on a second real LTE dataset, achieving 95% accuracy after 20 fine-tuning epochs following a 100-epoch source-model training cycle.
Generative AI Developer (Diffusion Models)
Ca' Foscari University of Venice
- Prototyped a conditional DDPM in PyTorch for 32x32 CIFAR-10 image generation, implementing a U-Net-style encoder-decoder with residual blocks, four-head attention, GroupNorm/SiLU layers, skip connections, and a cosine noise schedule.
- Built a 20-epoch noise-prediction workflow with Gaussian noise injection, MSE loss, Adam/StepLR optimization, gradient clipping, per-epoch checkpointing, and post-training sample visualization; researched autoencoders, GANs, GNNs, OOD detection, and active learning.
Machine Learning Engineer
AgriDunya Technologies
- Developed and evaluated CNN image classifiers in Python and PyTorch for agricultural use cases, using train/test data loaders, cross-entropy loss, Adam optimization, confusion-matrix analysis, and model checkpointing.
- Built and deployed a Flask REST API for crop-disease inference, integrating image ingestion, preprocessing, classification, and structured predictions with the application backend and cloud infrastructure.
Python Developer
AgriDunya Technologies
- Built Python backend services with Flask and FastAPI, exposing RESTful endpoints for web applications and data-processing workflows.
- Implemented reusable, object-oriented data-processing components and integrated backend services with cloud infrastructure to support application data flow and maintainable delivery.
Software Programming Instructor
IBA Community College Naushahro Feroze (Sukkur IBA University)
- Delivered structured Python and C++ instruction through hands-on software projects, connecting programming concepts with implementation and code analysis.
- Developed and reviewed project code with the teaching team, debugging execution logic and aligning technical decisions.
Industry experience
See where this freelancer has spent most of their professional time.
Experienced in Information Technology, Education, Telecommunication, and Agriculture.
Business area experience
See which departments and functions this freelancer has contributed to most.
Experienced in Information Technology, Research and Development, Product Development, and Quality Assurance.
Summary
AI/ML Engineer with 8+ years across software engineering, machine learning, and technical instruction. Builds and evaluates Python-based ML systems using PyTorch and TensorFlow/Keras, from data preparation and model training to API serving and reproducible testing. Recent work focuses on PyTorch benchmark design, LLM post-training data and evaluation, and failure analysis for coding and reasoning systems.
Skills
- Llms & Nlp Frameworks: Transformers (Hugging Face), Llamaindex, Openai Api, Supervised Fine-Tuning (Sft), Reinforcement Learning With Human Feedback (Rlhf), Prompt Engineering, Faiss, Rag
- Agentic Ai: Crewai, Langchain Agents, Langgraph, Autogen, Multi-Agent Coordination, Tool-Based Reasoning, React Pattern, Memory Management, Task Decomposition, Autonomous Workflows, Agent Planning & Communication Strategies
- Ai/Ml & Mlops: Tensorflow, Pytorch, Scikit-Learn, Keras, Mlflow, Hugging Face, Amazon Sagemaker, Azure Ml, Onnx, Classification, Regression, Clustering, Diffusion Models, Gans, Transfer Learning, Pandas, Numpy, Dask, Smote, Feature Engineering, Model Deployment, End-To-End Pipelines, Versioning, Github Copilot, Api Development
- Core Languages & Backend: Python (Advanced), Javascript (Es6+), Typescript, Bash, Fastapi, Flask, Django, Restful Apis, Websockets
- Frontend (Ui For Ai Apps): Typescript, React.Js, Tailwind Css, Html5, Css3, Api Integration, Streamlit, Gradio
- Databases & Storage: Amazon Dynamodb, Neo4j, Mongodb, Postgresql, Mysql, Firebase, Redis, Sqlite, Bigquery Ml
- Cloud Platforms: Aws (Ec2, S3, Lambda, Vpc, Redshift, Kinesis, Glue, Sagemaker), Azure (Azure Ml), Google Cloud (Vertex Ai, Automl)
- Devops & Automation Tools: Jenkins, Github Actions, Docker, Ci/Cd Pipelines, Terraform, Nginx, Kubernetes, Travis Ci, Circle Ci, Tekton, Gitlab, Scm, Gitops, Openshifts, Mlflow, Github Copilot
- Tools & Environments: Pytest, Jupyter, Vs Code, Postman, Git, Conda, Pyenv, Hugging Face Hub, Weights & Biases
Languages
Education
Tianjin University
MS · Software Engineering · China
Sukkur IBA University
BS · Computer Science · Sukkur, Pakistan
Certifications & licenses
AI Agent Developer Specialization
Vanderbilt University
AI Agents and Agentic AI in Python: Powered by Generative AI
Vanderbilt University
AI Agents: From Prompts to Multi-Agent Systems
the University of California
AWS Cloud Support Associate
Amazon Web Services
AWS Machine Learning Specialty Exam Preparation
Whizlabs
Agentic AI and AI Agents for Leaders Specialization
Vanderbilt University
Building Autonomous AI Agents with LangGraph
Packt
Continuous Integration and Continuous Delivery (CI/CD)
IBM
Docker Certified Associate Exam Prep Specialization
LearnKartS
Elevate-Team-Productivity-with-Crew-AI
Vanderbilt University
Fundamentals of AI Agents Using RAG and LangChain
IBM
LLMOps: Building Real-World Applications With Large Language Models
Udacity in collaboration with Comet
MLOps | Machine Learning Operations Specialization
Duke University
Open Source Models with Hugging Face
DeepLearning.AI
Statistics
Experience
Global experience
Expertise
Qualifications
Profile
Frequently asked questions
Have questions? Find more information here.
Noor is based in Aveiro, Portugal.
Noor speaks the following languages: Urdu (Native), Chinese (Intermediate), English (Elementary), Italian (Elementary), Portuguese (Elementary).
Noor has at least 8 years of experience. During this time, Noor has worked in at least 10 different roles and for 9 different companies. The average length of individual experience is 1 year and 10 months. Note that Noor may not have shared all experience and actually has more experience.
Based on recent experience, Noor would be well-suited for roles such as: LLM Benchmark Reviewer, PyTorch Expert - AI Evaluation, Machine Learning Engineer - AI Benchmarking.
Noor's most recent position is LLM Benchmark Reviewer at Pasiflora AI.
In recent years, Noor has worked for Pasiflora AI, AfterQuery, Mercor, Micro.1, and Turing.com.
Noor is most experienced in industries like Information Technology, Education, and Telecommunication. Noor also has some experience in Agriculture.
Noor is most experienced in business areas like Information Technology, Research and Development, and Product Development. Noor also has some experience in Quality Assurance.
Noor has recently worked in industries like Information Technology, Telecommunication, and Education.
Noor has recently worked in business areas like Information Technology, Research and Development, and Product Development.
Noor holds a Master in Software Engineering from Tianjin University and a Bachelor in Computer Science from Sukkur IBA University.
Noor has 14 certificates. Among them, these include: AI Agent Developer Specialization, AI Agents and Agentic AI in Python: Powered by Generative AI, and AI Agents: From Prompts to Multi-Agent Systems.
Noor is immediately available full-time for suitable projects.
Daily rate distribution
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Average rates for similar positions
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The average daily rate is the mean of all daily rates from recent contracts of comparable freelancers on our platform.
The median daily rate is the middle value of all daily rates — half of comparable freelancers charge less, half charge more. Unlike the average, it is barely affected by outliers.
Calculated based on our freelancers’ daily rates as of 29 Aug 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
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