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Welcome! I'm a dedicated and experienced AI/ML/DL specialist with 3 years of experience ready to bring your projects to life. With a strong foundation in Python and expertise in popular frameworks like TensorFlow, Keras, and PyTorch, I can deliver high-quality, efficient, and scalable machine learning and deep learning solutions tailored to your needs.
What I Offer:
Frameworks and Libraries:
TensorFlow: Design and implement deep learning models with TensorFlow, leveraging its extensive ecosystem for powerful and scalable solutions.
Keras: Build and train models quickly and efficiently using the high-level API of Keras, integrated seamlessly with TensorFlow.
PyTorch: Develop flexible and dynamic neural network models with PyTorch, ideal for research and rapid prototyping.
CV2: using OpenCV library to manipulate image data to build different CV pipelines and training CNN models
Numpy: Numpy library help convert all types of data in array form an in a limit range so that the models can be trained easily and efficiently
Pandas: use for csv and xlsx and other sheet files
Gradio: For a simple GUI app
Flask/FastAPI: Can be used as an end point to get data
What I Offer:
Frameworks and Libraries:
TensorFlow: Design and implement deep learning models with TensorFlow, leveraging its extensive ecosystem for powerful and scalable solutions.
Keras: Build and train models quickly and efficiently using the high-level API of Keras, integrated seamlessly with TensorFlow.
PyTorch: Develop flexible and dynamic neural network models with PyTorch, ideal for research and rapid prototyping.
CV2: using OpenCV library to manipulate image data to build different CV pipelines and training CNN models
Numpy: Numpy library help convert all types of data in array form an in a limit range so that the models can be trained easily and efficiently
Pandas: use for csv and xlsx and other sheet files
Gradio: For a simple GUI app
Flask/FastAPI: Can be used as an end point to get data
AI Development Type
Deep Learning, Knowledge Representation, Model Tuning, Recommendation System, Software MaintenanceAI Tools
Amazon SageMaker, Azure Machine Learning, deeplearn.js, Keras, MATLAB, NVIDIA AI Platform, Open Neural Network Exchange, OpenCV, PyTorch, TensorFlowAI Development Language
PythonWhat's included
| Service Tiers |
Starter
$90
|
Standard
$150
|
Advanced
$350
|
|---|---|---|---|
| Delivery Time | 1 day | 2 days | 4 days |
Number of Revisions | 0 | 0 | 0 |
AI Model Integration | - | - | |
Detailed Code Comments | |||
Knowledge Graph | - | ||
Model Documentation | - | - | - |
Ontology | - | - | - |
Source Code | |||
Taxonomy | - | - | - |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$5 - $20
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About Ehtasham
AI Developer & Full-Stack AI Engineer | Build Your AI App | Top Rated
100%
Job Success
Bahawalpur, Pakistan - 4:00 am local time
⭐ 𝐓𝐨𝐩 𝐑𝐚𝐭𝐞𝐝 𝐨𝐧 𝐔𝐩𝐰𝐨𝐫𝐤 | 𝟓+ 𝐲𝐞𝐚𝐫𝐬 𝐢𝐧 𝐀𝐈 & 𝐅𝐮𝐥𝐥-𝐒𝐭𝐚𝐜𝐤 | 𝐁𝐮𝐢𝐥𝐭 𝐀𝐈 𝐩𝐫𝐨𝐝𝐮𝐜𝐭𝐬 𝐠𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐧𝐠 $𝟏𝟎𝟎𝐊+ 𝐀𝐑𝐑
🔥 𝐖𝐡𝐚𝐭 𝐈 𝐁𝐮𝐢𝐥𝐝 (𝐏𝐫𝐨𝐯𝐞𝐧 𝐓𝐫𝐚𝐜𝐤 𝐑𝐞𝐜𝐨𝐫𝐝):
Real products I've shipped from idea to production — grouped by the three things I do best:
▸ 𝐀𝐈 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧 — Built a Claude tool-use RAG agent for a European accounting platform: six live database tools and resumable data pulls over an ERP API, querying 100% real-time records instead of stale snapshots.
▸ 𝐀𝐠𝐞𝐧𝐭𝐢𝐜 𝐂𝐡𝐚𝐭𝐛𝐨𝐭 — Engineered a CRM agentic chatbot on LangGraph: multi-step tool orchestration wired into a HubSpot CRM, autonomously reading, updating, and acting on customer records through natural conversation.
▸ 𝐃𝐚𝐭𝐚 𝐋𝐚𝐛𝐞𝐥𝐢𝐧𝐠 & 𝐀𝐧𝐧𝐨𝐭𝐚𝐭𝐢𝐨𝐧 — Built and labeled a medical-imaging dataset for tumor detection: pixel-level segmentation masks and nuclei annotation on PanNuke, producing a clean, model-ready training set that reached 89% accuracy with a modified HoVer-Net.
▸ 𝐀𝐈 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧 — Designed a 4-engine financial-document AI backend that parses, extracts, and structures data from bank statements and invoices with high precision, using an LLM extraction engine inside a multi-tenant FastAPI architecture.
▸ 𝐀𝐠𝐞𝐧𝐭𝐢𝐜 𝐂𝐡𝐚𝐭𝐛𝐨𝐭 — Built a multi-channel AI sales agent with a channel-adapter pattern (Telegram, Facebook, Instagram) on LangGraph + FastAPI, holding stateful conversations and driving leads toward conversion.
▸ 𝐃𝐚𝐭𝐚 𝐋𝐚𝐛𝐞𝐥𝐢𝐧𝐠 & 𝐀𝐧𝐧𝐨𝐭𝐚𝐭𝐢𝐨𝐧 — Structured a two-level document taxonomy (12 parent types, 45 sub-types) and a labeled intake schema from a 154-field workbook, turning messy real-world documents into a classifiable dataset verified across 26/26 tests.
▸ 𝐀𝐈 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧 — Engineered CAM (Common Area Maintenance) reconciliation software using OCR + LLMs to autonomously ingest, read, and categorize unstructured lease documents and general ledgers into structured, actionable databases.
▸ 𝐀𝐠𝐞𝐧𝐭𝐢𝐜 𝐂𝐡𝐚𝐭𝐛𝐨𝐭 — Built a 24/7 AI voice receptionist for a US medical practice: node-based conversation flows covering appointment booking, clinical routing, prescription and billing paths, and emergency intents, integrated with telephony and a live backend.
▸ 𝐃𝐚𝐭𝐚 𝐋𝐚𝐛𝐞𝐥𝐢𝐧𝐠 & 𝐀𝐧𝐧𝐨𝐭𝐚𝐭𝐢𝐨𝐧 — Curated and labeled a histopathology dataset for breast-cancer classification, running the full data-preparation, augmentation, and labeling pipeline to train a custom EfficientNetV2-L to 98% accuracy.
Looking for an AI Engineer to turn your concept into a scalable, real-world application? I don't just write standalone Python scripts — I build complete, end-to-end AI architectures, from the model layer up to the production app that runs it.
What that looks like in practice: a 4-engine financial-document AI backend, a Claude tool-use RAG agent querying 100% live data, a 24/7 AI voice receptionist for a US medical practice, and a real-time computer-vision platform running at ~10ms latency — plus custom deep-learning models hitting 98% and 89% accuracy.
Whether you need intelligent data extraction, autonomous agents using LangGraph, or real-time Computer Vision models integrated into a high-performance backend, I engineer AI solutions that actually work in production environments.
As a dedicated AI Developer, I bridge the gap between complex data science and deployable software. If you need an AI Engineer who understands both the deep logic of neural networks and the practicalities of API integration, you are in the right place.
⚙️ 𝐌𝐲 𝐓𝐞𝐜𝐡𝐧𝐢𝐜𝐚𝐥 𝐀𝐫𝐬𝐞𝐧𝐚𝐥:
To deliver top-tier results as an AI Developer, I utilize a modern, high-performance tech stack:
Artificial Intelligence & LLMs: Generative AI, Large Language Models (OpenAI, Claude, Llama), Prompt Engineering, Custom RAG (Retrieval-Augmented Generation) Pipelines, Vector Databases (Pinecone, Weaviate, ChromaDB).
AI Agents & Orchestration: LangChain, LangGraph, AutoGPT, building autonomous agents that execute multi-step logical workflows.
Computer Vision & Machine Learning: Object Detection & Tracking, Image Segmentation, YOLO (v8, v11, v12), OCR (Optical Character Recognition), PyTorch, TensorFlow, Scikit-Learn, Pandas, NumPy.
Backend & API Development: Python, FastAPI, Express.js (TypeScript), RESTful APIs, WebSockets, system architecture design.
Frontend & Full-Stack: React 19, modern web interfaces designed to interact flawlessly with heavy AI backends.
Databases & Deployment: PostgreSQL, MongoDB, Docker, Git, Cloud Deployments (AWS, GCP).
Send me a message with a brief overview of your project, and we can discuss the best architectural approach to make it happen.
Steps for completing your project
After purchasing the project, send requirements so Ehtasham can start the project.
Delivery time starts when Ehtasham receives requirements from you.
Ehtasham works on your project following the steps below.
Revisions may occur after the delivery date.
requirements