You will get Build Multimodal AI Models for Image, Text & Audio Understanding
Project details
You will get custom-built multimodal AI models that integrate text, image, and audio understanding for real-world applications. Unlike standard single-task AI solutions, my work focuses on creating robust, production-ready pipelines tailored to your business needs—whether it’s image recognition, speech processing, text generation, or multimodal fusion. With 3+ years of hands-on experience in AI/ML engineering, I ensure models are scalable, well-documented, and optimized for performance.
What sets this project apart is my end-to-end delivery approach: from data preprocessing and model development to deployment, monitoring, and integration, ensuring you receive a complete, ready-to-use solution.
What sets this project apart is my end-to-end delivery approach: from data preprocessing and model development to deployment, monitoring, and integration, ensuring you receive a complete, ready-to-use solution.
AI Algorithms
Autoencoder, Convolutional Neural Network, Deep Belief Network, Generative Adversarial Network, Multimodal Large Language Model, Transformer Model, Variational AutoencoderAI Applications
AI Text-to-Image, AI Text-to-Speech, AI-Generated Video, Automatic Speech Recognition, Image Analysis, Image Processing, Image Recognition, Speech SynthesisAI Development Language
PythonAI Tools
Gradio, Hugging Face, Microsoft CNTK, PyTorch, TensorFlow, Word2vecAI Models
AlphaCode, BERT, ChatGPT, DALL-E, Dolly, GPT-3, GPT-4, GPT-Neo, LLaMA, Midjourney AI, Stable Diffusion, WhisperWhat's included
| Service Tiers |
Starter
$100
|
Standard
$200
|
Advanced
$300
|
|---|---|---|---|
| Delivery Time | 5 days | 10 days | 20 days |
Number of Revisions | 1 | 2 | |
AI Model Integration | - | ||
Batch Normalization | - | - | - |
Database Integration | - | - | - |
Detailed Code Comments | - | - | - |
Image Upscaling | - | - | - |
MLOps | - | - | |
Model Deployment | - | - | - |
Model Documentation | - | ||
Model Monitoring | - | - | |
Model Testing & Optimization | - | ||
Model Tuning | - | - | - |
Natural Language Processing | - | ||
NLP Tokenization | |||
Pre-Training | - | - | |
Prompt Engineering | - | ||
Setup File | |||
Source Code |
Frequently asked questions
About Suresh
AI Engineer | GenAI, NLP | Scalable, Cost-Efficient Systems
Karachi, Pakistan - 11:44 am local time
I bridge the gap between data science and business strategy, combining predictive analytics, automation, cost-aware engineering, and cloud-based deployments to help organizations:
Transform raw data into actionable insights
Enhance decision-making with predictive, generative, and agentic AI
Reduce operational costs through intelligent AI systems
Core strengths include:
Designing and deploying scalable ML, DL & AI workflows in Python
Leveraging NLP, LLMs, embeddings, RAG, AI agents, and vector databases for real-world applications
Implementing cloud-based AI deployments on AWS for robust, scalable solutions
Applying predictive analytics to solve business-critical challenges
Building systems optimized for both performance and cost efficiency
I thrive at the intersection of technology and business impact, delivering solutions that optimize processes, unlock value, and create tangible results.
I’m passionate about learning, building, and collaborating to innovate and deliver measurable business impact
Steps for completing your project
After purchasing the project, send requirements so Suresh can start the project.
Delivery time starts when Suresh receives requirements from you.
Suresh works on your project following the steps below.
Revisions may occur after the delivery date.
Requirement Gathering
I will review your project needs, target use cases, and datasets to define the scope and deliverables.
Data Preparation & Preprocessing
Clean, preprocess, and format your data (image, text, or audio) to ensure high-quality training inputs.