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Variational Autoencoder specialists
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Muhammad Saad H.
Lahore, Pakistan
Iโm an AI/ML Researcher and Deep Learning Expert with a deep interest in building intelligent systems that are both impactful and human-centered. Currently in my final year of Computer Science at LUMS, I bring 3+ years of experience at the intersection of cutting-edge research, applied machine learning, and full-stack product development.
My work spans a diverse range of domains โ from low-resource language modeling and speech synthesis to retrieval-augmented generation, neural network compression, and real-time full-stack deployment. Iโm especially drawn to problems that blend theory with practical implementation and make AI more accessible, interpretable, and efficient.
๐จโ๐ซ Academic Leadership & Teaching
As the Head Teaching Assistant for CS 437: Deep Learning, Iโve led tutorials, designed assessments, and mentored over 160 students. Iโve covered a wide array of topics, such as:
๐ธCNNs & VAEs
๐ธGANs & Stable Diffusion
๐ธVision Transformers (ViTs) & RNNs
๐ธGraph Neural Networks (GNNs) & Meta-learning
๐ธDeep Reinforcement Learning
๐ธOptimization techniques, pruning, and knowledge distillation
Through this role, Iโve not only honed my communication and mentoring skills, but also developed a deep command over state-of-the-art architectures and the ability to explain complex ideas clearly and accessibly.
๐ Flagship Projects & Research Contributions:
๐ธ1) Kahaani
An AI-powered Urdu storytelling platform that uses Large Language Models, Text-to-Speech (TTS), and Text-to-Video (TTV) to co-generate structured narratives for children in Urdu. The project tackles the challenge of low-resource generative storytelling and incorporates RAG pipelines, multimodal storytelling, and user interactivity. (Submitted to ACL 2025)
๐ธ2) Adaptive Entropy Guided Universal Domain Adaptation (AEG-UDA)
A novel domain adaptation technique using entropy-guided pseudo-labeling and dynamic thresholding is designed to boost model performance across unseen domains โ particularly impactful in real-world low-data scenarios.
๐ธ 3) EmployNet
A full-stack HR Management system supporting employee onboarding, role-based access control, 2FA, automated payroll, and real-time dashboards โ built with the MERN stack.
๐ธ 4) Course Recommender with RAG
A chatbot-based course recommendation system for universities, combining LLMs with document retrieval using ChromaDB. Deployed using Gradio on Hugging Face Spaces.
๐ธ 5) BCI Signal Classification & Speech Biomarkers
Worked with clinical datasets and EEG-based BCI signals to explore diagnosis and assistive tools for mental health and neurodivergent individuals.
๐ Technical Skills & Tools
๐ธProgramming Languages: Python (Advanced), C++ (Intermediate), JavaScript, SQL
๐ธMachine Learning Frameworks: TensorFlow, PyTorch, Scikit-learn, FastAI
๐ธWeb Development Tools: Node.js, Express, React.js, Firebase, MongoDB
๐ธTools & Libraries: Git, Docker, Pandas, NumPy, OpenCV, NLTK, SpaCy, Flask, HuggingFace Transformers, Gradio
๐ธNLP Techniques: RAG, TTS, BERT, LSTMs, Transfer Learning, Self-Supervised Learning, Text Classification, Chatbots
๐ธComputer Vision: CNNs, Vision Transformers, Object Detection, GANs, Image Segmentation
๐ธOther Skills: REST APIs, Prompt Engineering, Streamlit, Gradio, ChromeDB, Two-Factor Authentication, UI/UX Integration
โ
What I Offer
๐ธResearch-backed, production-ready AI pipelines โ from zero-shot NLP to multimodal storytelling.
๐ธEnd-to-end development โ from model training to front-end deployment.
๐ธStrong communication and documentation โ Iโve led teams, mentored students, and presented complex ideas to diverse audiences.
๐ธCommitment to quality and reliability โ every project is cleanly structured, well-commented, and designed to scale.
Letโs collaborate on something meaningful โ whether itโs a custom AI system, a generative storytelling engine, or a full-stack application enhanced by machine intelligence.
- Python
- Natural Language Processing
- Machine Learning
- Generative AI
- Retrieval Augmented Generation
- Deep Learning
- Exploratory Data Analysis
- Large Language Model
- Generative Adversarial Network
- AI Text-to-Speech
- AI Text-to-Image
- Vision Transformer
- Variational Autoencoder
- Computer Vision
- Software Development
Joemer B.
Zamboanga, Philippines
Hi Everyone
I'm Joemer Bedayos. I'm a newbie/starter. I'm expert on data entry related job.
Do you have any Data Entry related online or Offline task and looking for an expert to complete your task. you can contact me. I always ready to help you.
For long-term work you can contact me first, so I can find a proper way to complete your Project on time. I will work for your company and individual with on-time delivery with 100% quality.
My Service Lists:
data entry
copy paste
PDF to Excel Conversion
excel data entry
google sheet
manual typing
web research
web research & data entry
data entry from PDF File
PDF to MS Word Conversion
PDF to MS Excel Conversion
Image to MS Word Conversion
Image to MS Excel Conversion
Why Hire Me?
100% accuracy
Good Quality Work
Maintain 100% confidentiality
Guarantee 100% customer satisfaction
Fast, Efficient and Trustworthy online worker
Note: Please feel free to contact me. If I offline just leave a message with your work details, I will Response as soon as posible.
- Variational Autoencoder
- Data Entry
- Copywriting
- Communications
- Copy & Paste
- Copy Editing
- Bookkeeping
- Data Analysis
- Book Editing
- Data Mining
- Picture Upload
Zheena Mackenzie T.
Liloan, Philippines
CAREER OBJECTIVE
To excel as a computer engineer by utilizing my technical
skills and problem-solving abilities to contribute to the
creation of innovative technologies. I aim to work on
challenging projects, collaborate with diverse teams, and
stay updated with emerging trends to make a meaningful
impact in the field of computer engineering.
- CAD
- 3D Design
- CAD Software
- Variational Autoencoder
- Microsoft Active Directory
- Directory
- Google Closure
- Microsoft Virtual Server
Jaycarl A.
Malita, Philippines
Im a ICT student and capable on doing things when it comes to computer. I can explore everything, a fast learner, willing to learn, ang a god-fearing person"
- Computer
- Microsoft Excel
- Variational Autoencoder
- Video Editing & Production
Jayla M.
Santiago, Philippines
I'm good at data entry specialist
And a virtual assistant and also good at settling appointment and fast encoder
- Variational Autoencoder
- Appointment Scheduling
- Time Management
Rojan U.
Kathmandu, Nepal
"Experienced ML Engineer with 7 years of experience in developing ML models for real-world problems. Skilled in Python, ML and DL frameworks (TensorFlow, Keras, etc.). Proficient in computer vision, NLP, and Machine Learning. Strong in data pre-processing, feature engineering, and model selection. Delivers accurate and scalable models. Continuously updates ML knowledge. Proficient in NumPy, Pandas, Data Visualization, OpenCV, Neural Networks, NLP, etc."
- OpenCV
- Reinforcement Learning
- Machine Learning
- Python Scikit-Learn
- pandas
- TensorFlow
- Computer Vision
- Deep Learning
- Transformer Model
- Neural Network
- Artificial Intelligence
- AI Chatbot
- spaCy
- Generative Adversarial Network
- Variational Autoencoder
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