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I will do your research in machine learning and deep learning using python
Senior Software Developer By Profession
Hi, I’m Mushhood Afsar — a Full-Stack Developer with 4+ years of experience building secure, scalable, and high-performance web applications. I specialize in React.js, Next.js, Angular, .NET Core, Nod...
Level 1
Has met certain performance criteria and shows strong potential in the marketplace.
About this Gig
Looking for a Machine Learning or Deep Learning expert?
You're in the right place!
I'm Mushhood Afsar, an MS Software Engineering graduate from NUST University, Pakistan, with 4+ years of experience. Ive authored ML/DL research in IEEE and CMC journals on gesture recognition using 6DOF sensors in virtual environments.
Past Projects Include:
- Human gesture recognition using deep learning (VR environments)
- Sign language detection from video using CNN+LSTM
- Object recognition and tracking in real-time feeds
- Stock price prediction using LSTM
- Document classifier using TF-IDF and SVM
- Face mask detection via transfer learning
What I Offer:
- Model creation from scratch
- Preprocessing & feature engineering (PCA, LDA, CNN)
- Classification, clustering, regression
- Custom computer vision & NLP tasks
- Well-commented Python code + deployment-ready scripts
- Deep learning and Neural network-based projects
- Computer vision (e.g., object recognition, sign language)
- LLM fine-tuning & prompt engineering (GPT, BERT, LLaMA, etc.)
- Chatbots, Q&A systems, and generative AI tasks
Send your system diagram or research paper.
Documentation available (negotiable charge).
️Please message before placing your order!
Programming language:
Python
•
R
•
SQL
•
Java
•
Scala
Frameworks:
Scikit-learn
•
Google ML Kit
•
SimpleCV
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Keras
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PyTorch
•
Panda
My Portfolio
FAQ
Q: What types of projects have you worked on?
A: I’ve worked on a wide range of ML/DL projects including gesture recognition in VR, sign language detection using CNN-LSTM, real-time object detection, stock prediction models, document classification, and chatbot development using large language models (LLMs) like GPT and BERT.
Q: What is the typical turnaround time?
A: Turnaround time depends on project complexity. Simple models or scripts can be delivered within 2–3 days, while more advanced systems (like LLMs or end-to-end computer vision pipelines) may take 5–10 days. I’ll always give you a realistic timeline before starting.
Q: Do you support custom datasets?
A: Yes! I can handle any structured or unstructured dataset you provide — including CSV, Excel, JSON, images, video, or text. If your data isn’t labeled, I can help with that too.
Q: Can you help with research-based implementations?
A: Yes. I regularly work on academic and research projects. If you have a paper or methodology you'd like implemented, I can replicate or adapt it for your use case.
Q: Do you offer deployment services?
A: Yes. I can deploy models using Flask, FastAPI, Streamlit, or on cloud platforms (AWS, GCP, Azure). I also offer Dockerization for smoother production rollout.
Q: Do you provide documentation or training material?
A: Yes, documentation is included in Premium or as an add-on. It covers usage, retraining, and explanations of the model and pipeline.
Q: Can you explain the model or approach you used after delivery?
A: Yes! I always provide a brief summary of the model architecture, why it was chosen, and how it performs. If you need a detailed explanation or a walkthrough (video or call), that can be included in a custom offer or as part of the Premium package.
Q: Can you help me choose the right machine learning algorithm for my problem?
A: Definitely. Based on your dataset and business objective, I can suggest the most suitable ML/DL approach — whether it’s classification, regression, clustering, or deep neural networks — and explain why it’s the best fit.
Q: Can you provide ongoing support or updates after delivery?
A: Yes — Premium package includes post-delivery support. For other packages, I offer affordable add-ons or custom orders if you need future improvements, bug fixes, or model retraining.
Q: What do you need from me to get started?
A: I’ll need a clear problem statement, a sample or full dataset (if available), any preferred model types, and your desired output format or use case (e.g., prediction, classification, NLP, etc.). Don’t worry — I can also help refine your idea if needed!
