You will get Computer vision, Machine Learning and Deep Learning Expert
Project details
Hi, if you are looking for someone for your AI related projects, I'm the one!
What I am offering,
• Machine Learning, Deep Learning , Computer Vision and Automation solutions for your complex problems
• Training and deploy your machine learning models
• Object detection: YOLO- v8,v11/Faster-RCNN
• Object tracking: OC-SORT, ByteTrack, BOT-SORT, Strong-SORT
• Image segmentation: Mask-RCNN, U-NET, SAM2, Sapiens
• Image and audio classification: InceptionResnetV2, VGG, ResNet, ViT
• Pose estimation: YOLO, VitPose
• Facial recognition: Facenet, Dlib, DeepFace
• OCR: tesseractOCR, PaddleOCR
• Data clustering and classification: K-MEAN, SVM, PCA, etc.
• NLP: LLMs (LLAMA, GPT), RAG (LangChain)
• GAN
• Image captioning and grounding: Florance2, LSTM
• Embedding Analysis
• Depth estimation
• Inpainting: LaMa, MIGAN
• Image preprocessing: OpenCV, CNN
• Time series analysis and forecasting: Transformers, RNN, LSTM
• Model deployment with REST APIs: Flask
• Edge-devices: Jetson, Raspberry-Pi, NCS
What I am offering,
• Machine Learning, Deep Learning , Computer Vision and Automation solutions for your complex problems
• Training and deploy your machine learning models
• Object detection: YOLO- v8,v11/Faster-RCNN
• Object tracking: OC-SORT, ByteTrack, BOT-SORT, Strong-SORT
• Image segmentation: Mask-RCNN, U-NET, SAM2, Sapiens
• Image and audio classification: InceptionResnetV2, VGG, ResNet, ViT
• Pose estimation: YOLO, VitPose
• Facial recognition: Facenet, Dlib, DeepFace
• OCR: tesseractOCR, PaddleOCR
• Data clustering and classification: K-MEAN, SVM, PCA, etc.
• NLP: LLMs (LLAMA, GPT), RAG (LangChain)
• GAN
• Image captioning and grounding: Florance2, LSTM
• Embedding Analysis
• Depth estimation
• Inpainting: LaMa, MIGAN
• Image preprocessing: OpenCV, CNN
• Time series analysis and forecasting: Transformers, RNN, LSTM
• Model deployment with REST APIs: Flask
• Edge-devices: Jetson, Raspberry-Pi, NCS
Machine Learning Tools
Apache Spark, Azure Machine Learning, BERT, ChatGPT, Databricks Platform, Databricks MLflow, GitHub Copilot, GPT-3, KNIME, MATLAB, Microsoft Power BI, Minitab, NumPy, OpenCV, pandas, Python, Python Scikit-Learn, PyTorch, R, scikit-learn, SciPy, Scrapy, SQL, Tableau, TensorFlowWhat's included
| Service Tiers |
Starter
$600
|
Standard
$1,100
|
Advanced
$1,800
|
|---|---|---|---|
| Delivery Time | 14 days | 21 days | 30 days |
Number of Revisions | 2 | 4 | Unlimited |
Model Validation/Testing | |||
Model Documentation | - | ||
Data Source Connectivity | - | - | |
Source Code |
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DS
Devinder S.
Sep 11, 2025
Devinder Singh
great platform to meet good companies and one can compare multiple options. I met Kamal here and appreciate his level of dedication and knowledge of work.
GD
Gurkamal D.
Aug 24, 2025
AI Powered PE Analyst
Kamal delivered an excellent AI Document Intelligence MVP for our private-equity use case. He quickly understood the brief—analyzing complex 100–200 slide investment decks—and produced a working proof-of-concept within ~3 weeks, on budget. Highlights: solid .pptx parsing (text, tables, charts), an agentic LLM workflow for generating executive summaries, extracting key financial metrics, and a simple Q&A interface, plus a clean demo UI suitable for stakeholder buy-in.
Communication was outstanding: proactive updates, clear expectations, and thoughtful trade-off discussions. Handover was smooth via a private GitHub repo with thorough, step-by-step run instructions and documentation, along with post-delivery support. Kamal showed real fluency with financial terminology and was comfortable operating with minimal supervision while still being highly responsive.
We closed the milestone confidently and would absolutely rehire him for the full build. If you need someone who can turn ambiguous, complex document workflows into a polished, working MVP—Kamal is the person to hire. Highly recommended.
Communication was outstanding: proactive updates, clear expectations, and thoughtful trade-off discussions. Handover was smooth via a private GitHub repo with thorough, step-by-step run instructions and documentation, along with post-delivery support. Kamal showed real fluency with financial terminology and was comfortable operating with minimal supervision while still being highly responsive.
We closed the milestone confidently and would absolutely rehire him for the full build. If you need someone who can turn ambiguous, complex document workflows into a polished, working MVP—Kamal is the person to hire. Highly recommended.
About Kamal
AI Voice Agent | AI Agents & Automation Expert
100%
Job Success
Toronto, Canada - 5:35 am local time
I build smart, self-operating systems that turn your messy, unstructured data into actionable intelligence. With 7+ production-grade AI systems deployed, I’ve built tools that automate financial analysis from invoices , screen resumes , and guide Canadian medical test ordering with computer vision.
What I specialize in:
🔹 Data Understanding & RAG – I build high-performance RAG pipelines that let you "chat" with your data. This includes systems that extract answers from PDF invoices , read complex medical requisitions , and create knowledge graphs from siloed enterprise data.
🔹 LLM & Agentic AI – I create AI agents that automate complex business logic. This includes systems that semantically analyze and score resumes beyond simple keywords and automate the 24/7 client intake process via SMS and web chat.
🔹 Intelligent Chatbots & Analytics – I build interactive AI for self-service data exploration. My systems can analyze CSVs, answer complex queries, and generate charts and graphs automatically.
🔹 Deep Learning & Computer Vision – I deploy custom ML models for real-world challenges. This includes using U-Net segmentation models for medical data extraction and using YOLO for real-time license plate recognition on edge devices.
Tech Stack: Python | FastAPI | LangChain | LiteLLM | Azure | Docker | RAG | Typesense | Computer Vision (YOLO, U-Net) | PyMuPDF | Streamlit | Pandas | Neo4j
If you’re looking to solve a real-world problem using AI — whether it’s document automation, intelligent Q&A, or full-scale deep learning systems — let’s connect.
🧠 "I don't just build models. I build business outcomes
Steps for completing your project
After purchasing the project, send requirements so Kamal can start the project.
Delivery time starts when Kamal receives requirements from you.
Kamal works on your project following the steps below.
Revisions may occur after the delivery date.
Requirement Analysis
I will understand the client's needs and prepare BRD and FRD.
Plan the Project
I will deliver a doc of what I plan to do and how I will achieve it.