You will get Computer Vision, Image Processing, OpenCV, YOLO & Deep Learning in Python
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Project details
Hi! I'm a computer vision specialist passionate about building smart AI solutions. I work on everything from image classification and object detection to pose estimation, face recognition, and video analysis systems. I also create APIs with Flask or Django and design interactive interfaces with Streamlit.
I’m experienced with frameworks and models like TensorFlow, PyTorch, OpenCV, YOLO, UNET, ViT, Swin Transformer, SAM, and many more. Whether it’s research, medical imaging solutions, or full-fledged computer vision applications, I make sure the projects meet your requirements.
Feel free to reach out if you have any questions or want to discuss your project—I’d be happy to help!
I’m experienced with frameworks and models like TensorFlow, PyTorch, OpenCV, YOLO, UNET, ViT, Swin Transformer, SAM, and many more. Whether it’s research, medical imaging solutions, or full-fledged computer vision applications, I make sure the projects meet your requirements.
Feel free to reach out if you have any questions or want to discuss your project—I’d be happy to help!
Data Tool
PythonWhat's included
| Service Tiers |
Starter
$90
|
Standard
$140
|
Advanced
$180
|
|---|---|---|---|
| Delivery Time | 2 days | 3 days | 4 days |
Number of Revisions | 0 | 0 | 0 |
Number of Graphs/Charts | 2 | 3 | 4 |
Number of Scenarios | 2 | 3 | 4 |
Number of Model Variations | 1 | 2 | 3 |
Model Documentation | - | - | - |
Data Source Connectivity | - | - | - |
Model Validation/Testing | - | - | - |
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Chris M.
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I met Waqas while working with another firm. We did a bake-off and his squad demolished the the other team. Unfortunately his team was not selected to do the project, it has been 7 months and the project is still not done! Well, their loss was my gain. Every since, I have been working with Waqas and his group and it has been amazing. A true partner to the point that I view him as a key partner in everything that I do. Highly skilled and patience even when I get super busy and sometimes not as responsive due to workload. I would recommend him without a doubt. Brilliant mind!
RA
Richelle A.
Aug 31, 2025
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Waqas is professional, reliable, and easy to work with. Delivered great results on time and communicated clearly throughout. Would happily hire him again!
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About Waqas
Senior Data Engineer | Machine Learning Engineer | Spark, Airflow, RAG
100%
Job Success
Lahore, Pakistan - 11:33 pm local time
"I met Waqas while working with another firm. We did a bake-off and his squad demolished the other team." 𝗰𝗹𝗶𝗲𝗻𝘁 𝗿𝗲𝘃𝗶𝗲𝘄, 𝗳𝗿𝗼𝗺 𝗺𝘆 𝗽𝘂𝗯𝗹𝗶𝗰 𝘄𝗼𝗿𝗸 𝗵𝗶𝘀𝘁𝗼𝗿𝘆
Modern AI and analytics products are only as good as the data infrastructure underneath them. I design and build production-grade data platforms and machine learning systems, distributed ETL/ELT pipelines, cloud-native data warehouses and lakes, and ML pipelines that go from feature engineering through deployment and monitoring. I extend these platforms with RAG and LLM-based features where they add real business value, but the foundation is always solid data engineering.
DATA ENGINEERING & ML - CASE STUDIES
➔ ETL platform for e-commerce: ingestion, normalization, data-quality checks, S3 data lake, Spark, Airflow, Databricks, FastAPI
➔ ESG analytics platform used by 3 large European banks, Spark/Databricks processing, Airflow orchestration, LLM-enhanced reporting
➔ Real-time lead platform, Kafka event streaming, Spark stream processing, enrichment pipelines, YOLO/OCR intake
AI & LLM ENGAGEMENTS (public work history)
➔ AI agent platform for a US AI agency (OpenAI), 207 hours.
➔ LLM agent system, LangGraph, LangChain, NestJS, TypeScript
➔ Python/Flask + AWS CDK build for an Upwork ENTERPRISE client
➔ RAG integration & deployment (Next.js),
𝗪𝗛𝗔𝗧 𝗜 𝗕𝗨𝗜𝗟𝗗
➔ Enterprise data platforms, ETL/ELT, data warehousing & data lakes, batch & streaming pipelines, data modeling & data quality checks
➔ ML pipelines & MLOps, feature engineering, model training, deployment & evaluation
➔ RAG systems, semantic search & AI knowledge bases, built on top of the data platform, not as a bolt-on
➔ Cloud data infrastructure, scalable, secure, monitored
𝗦𝗧𝗔𝗖𝗞
Data Engineering: Python • SQL • Apache Spark • Apache Airflow • Kafka • Databricks • Elasticsearch • Data Modeling
Machine Learning: TensorFlow • PyTorch • Scikit-Learn • XGBoost • MLflow
AI / RAG: LangChain • LlamaIndex • OpenAI • Claude • Gemini • Pinecone • Weaviate • pgvector • Qdrant
Backend & Cloud: FastAPI • NestJS • TypeScript • PostgreSQL • AWS • GCP • Azure • Docker • Kubernetes • CI/CD
𝗜𝗡𝗗𝗨𝗦𝗧𝗥𝗜𝗘𝗦
Healthcare • Financial Services • SaaS • HR Tech • Retail • Manufacturing • Logistics • Education • Legal • Energy
Every solution is measured on scalability, reliability, and business value.
Building a data platform, deploying ML at scale, or shipping an AI product? 𝗠𝗲𝘀𝘀𝗮𝗴𝗲 𝗺𝗲, I respond within hours.
Steps for completing your project
After purchasing the project, send requirements so Waqas can start the project.
Delivery time starts when Waqas receives requirements from you.
Waqas works on your project following the steps below.
Revisions may occur after the delivery date.
Data Collection
For the project to work on data is important. Data should be of image classification, segmentation and detection
Preprocessing
As their are different format of data like in medical imaging tiff and dicom format are there so we need to process the data to make it suitable for the training