You will get a State of the Art AI driven application
Project details
Talal is known for his expertise in executing comprehensive projects spanning from Data Mining and ETL processes to the development and deployment of sophisticated Deep Learning models. With a profound understanding of the intricacies of Natural Language and Deep Learning research, Talal actively explores emerging trends and techniques in machine learning, deep learning, and reinforcement learning. His unique forte lies in implementing cutting-edge methodologies and algorithms for tasks such as natural language generation, comprehension, and the creation of intelligent autonomous multi-agent systems.
What sets Talal apart is his extensive experience in Multimodal AI, where he adeptly integrates diverse modalities like text, speech, image, and video to craft highly intelligent and natural systems. Moreover, his proficiency in NeuroSymbolic AI distinguishes him as he seamlessly combines symbolic and neural approaches, resulting in the development of more robust and interpretable systems. Throughout his career, Talal has successfully completed numerous courses and projects, showcasing his commitment to staying at the forefront of technological advancements in the field.
What sets Talal apart is his extensive experience in Multimodal AI, where he adeptly integrates diverse modalities like text, speech, image, and video to craft highly intelligent and natural systems. Moreover, his proficiency in NeuroSymbolic AI distinguishes him as he seamlessly combines symbolic and neural approaches, resulting in the development of more robust and interpretable systems. Throughout his career, Talal has successfully completed numerous courses and projects, showcasing his commitment to staying at the forefront of technological advancements in the field.
AI Development Type
Deep Learning, Knowledge Representation, Model Tuning, Recommendation System, Software MaintenanceAI Tools
Amazon SageMaker, Azure Machine Learning, BigDL, Chainer, Keras, MLflow, OpenCV, PyBrain, PyTorch, TensorFlowAI Development Language
PythonWhat's included
| Service Tiers |
Starter
$10,000
|
Standard
$20,000
|
Advanced
$50,000
|
|---|---|---|---|
| Delivery Time | 14 days | 30 days | 60 days |
Number of Revisions | 1 | 1 | 1 |
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
+$2,000 - $5,000
Additional Revision
+$1,000
Real-time API Integration:
(+ 7 Days)
+$5,000
Extended Support and Maintenance
(+ 10 Days)
+$5,000
Advanced Analytics Dashboard
(+ 7 Days)
+$5,000Frequently asked questions
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SR
Sebastian R.
Nov 27, 2025
Mr. Sebastian
WB
William B.
Apr 14, 2025
Mr. William - CTO / Chief DS & AI Development and Consultancy Contract
very good
About Talal
Data Scientist | Generative AI Expert | Deep Learning Engineer | Quant
100%
Job Success
Wah Cantt, Pakistan - 2:58 pm local time
His expertise spans the full lifecycle of complex systems, from data mining, ETL, and feature engineering to building, optimizing, and deploying low-latency trading models using Machine Learning, Deep Learning, and Reinforcement Learning.
His work focuses on transforming noisy, high-dimensional market data into robust, executable strategies operating under real-world constraints such as risk, latency, and capital efficiency. Talal actively works on quantitative research, algorithmic and systematic trading, and multi-agent market simulations, integrating statistical learning, deep reinforcement learning, and control theory to design adaptive trading architectures.
He also applies NLP and Multimodal AI to financial intelligence, leveraging news, macro data, and alternative data sources for alpha generation.
His research interests include Neuro-Symbolic AI, knowledge graphs, and interpretable AI, particularly for portfolio construction, risk modeling, and strategy reasoning within complex market regimes. Beyond finance,
Talal aspires to be a polymath and wordsmith, with a deep interest in philosophy, systems thinking, and the communication of complex ideas through writing.
Core Expertise:
~ Quantitative Research & Trading Systems
~ Algorithmic & Systematic Trading
~ Data Engineering & Market Data Infrastructure
~ Machine Learning & Statistical Modeling
~ Deep Learning & Reinforcement Learning
~ NLP for Financial Intelligence
~ Multi-Agent Systems & Market Simulation
~ Neuro-Symbolic AI & Knowledge Representation
~ Risk Modeling & Strategy Optimization
Steps for completing your project
After purchasing the project, send requirements so Talal can start the project.
Delivery time starts when Talal receives requirements from you.
Talal works on your project following the steps below.
Revisions may occur after the delivery date.
Project Kickoff Meeting and Requirement Analysis:
- Discussion of the project's objectives, scope, and specific data science requirements. -Detailed analysis of the data requirements. Identification of data sources, formats, and any specific preprocessing steps needed.
Data Collection and Exploration:
Gathering relevant datasets and exploring their characteristics. This step includes an initial assessment of data quality and potential issues.