You will get an advanced data retrieval tool for Complex PDFs using LLMs
Rising Talent
Rising Talent
Project details
You’ll get an AI-powered document extraction system built for accuracy, speed, and real-world usability, backed by over 3 years of experience in AI engineering. I leverage state of the art models like Llama-3 and GPT-based OCR/NLP pipelines to extract structured, reliable data from even the most complex PDFs.
It can be anything like:
Extracting tables, text, or entities from scanned or multi-format PDFs.
Building a custom data extraction pipeline tailored to your company’s document structure.
I’ll manage the entire development lifecycle, from data preprocessing and model integration to deployment and post delivery support.
A system that converts your data heap into a structured format, improving efficiency and cutting manual effort.
It can be anything like:
Extracting tables, text, or entities from scanned or multi-format PDFs.
Building a custom data extraction pipeline tailored to your company’s document structure.
I’ll manage the entire development lifecycle, from data preprocessing and model integration to deployment and post delivery support.
A system that converts your data heap into a structured format, improving efficiency and cutting manual effort.
AI Algorithms
Convolutional Neural Network, Gated Recurrent Unit, Generative Adversarial Network, Large Language Model, Long Short-Term Memory Network, Multilayer Perceptron, Multimodal Large Language Model, Transformer ModelAI Applications
AI Chatbot, AI Content Creation, Conversational AI, Natural Language Generation, Natural Language Understanding, Sequence ModelingAI Development Language
PythonAI Tools
Gradio, Hugging Face, PyTorch, Streamlit, Word2vecAI Models
BERT, ChatGPT, GPT-3, GPT-4, LLaMA, WhisperWhat's included
| Service Tiers |
Starter
$200
|
Standard
$450
|
Advanced
$800
|
|---|---|---|---|
| Delivery Time | 4 days | 8 days | 14 days |
Number of Revisions | 5 | 10 | 15 |
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 |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$100 - $200Frequently asked questions
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KR
Krithika R.
Sep 26, 2025
AI/Backend Engineer (Python, ML, Django, PostgreSQL)
Had a great time working with Hassaan. Very patient and understood the requirements well.
IH
Imran H.
Jun 3, 2025
AWS ML development
IH
Imran H.
May 25, 2025
HA - AWS Personalize sample app
Excellent work. Great collaboration from start to finish
MT
Me Energy T.
May 15, 2025
Usage of Relative Maps with ML Models to determine optimised location
Hassaan has been very meticulous and detailed oriented. Very good to work with and learn during the process of building.
OA
Obaid A.
May 8, 2025
Data eng
As always, Mr. Hassan did a great job. Communication was excellent. Highly recommended. highly recommended for AI/ML projects !
About Hassaan
AI/ML Engineer | Computer Vision | LLMs | MLOps | Python | PyTorch
100%
Job Success
Sargodha, Pakistan - 8:48 pm local time
I specialize in building end-to-end Computer Vision and LLM systems, with strong expertise in backend engineering and advanced skills in Computer Vision, Image Processing, Object Detection and Tracking, YOLO, MLOps, AI Agent Development, fine tuning large language models, and building Retrieval Augmented Generation systems using Generative AI and Artificial Intelligence for any AI App Development.
Core Expertise:
- Computer Vision : Real-time video analytics, object detection, segmentation, and edge AI systems. Deployment on edge devices and cloud with optimized inference pipelines for low latency and high throughput.
I can help you with:
- Object Detection: YOLO, Faster R-CNN, SSD
- Image Segmentation: U-Net, Mask R-CNN, Segment Anything Model (SAM)
- Real-Time Video Analysis: Tracking, anomaly detection, live processing
- Medical Imaging: Tumor detection, organ segmentation
- Image Classification and recognition systems
- Defect Detection in industrial applications
- Pose Estimation and keypoint detection
- Action Recognition from video streams
- Deep learning model training, fine-tuning, and optimization
- Model deployment, monitoring, and performance evaluation
- Sports analytics
- LLM Agent Development : Voice AI Agents, Voice Cloning, LLM Applications, LLM Agents for workflow automation, AI chatbots, AI Model Development, AI Model Integration, AI Speech-to-text and AI Text-to-speech.
I can help you with:
- Autonomous AI Agents & Workflows: Designing multi-agent systems and stateful workflows using frameworks like LangGraph to automate complex, multi-step business logic.
- Advanced RAG Pipelines: Building robust Retrieval-Augmented Generation systems with advanced chunking strategies, hybrid search, re-ranking, and vector databases to eliminate hallucinations.
- Real-Time Voice AI & Avatars: Integrating high-fidelity speech-to-text, low-latency LLM processing, custom voice cloning (TTS), and lipsync synchronization for interactive AI avatars and coaches.
- Model Fine-Tuning & Optimization: Quantizing, fine-tuning, and adapting open-source models (Llama, Mistral) for domain-specific tasks while maintaining low serving costs.
- High-Performance LLM Serving: Setting up multi-GPU, high-throughput inference backends utilizing vLLM, Nvidia NIM, andoptimized KV cache management.
- Function Calling & Tool Use: Empowering LLMs to securely interact with third-party APIs, relational databases, legacy systems, and external analytical tools.
Tools and Tech:
Python | OpenCV | PyTorch | Scikit-Image | Albumentations | Computer Vision | Video Analytics | Object Detection | OCR | Ollama | vLLM | OpenAI | Huggingface | Transformers | Vector Database | Milvus | Pinecone | Chroma | Redis
Nvidia DeepStream | TensorRT | Jetson Orin | Nvidia Triton Inference Server | Edge Deployment | Video Analytics Pipeline
AWS | GCP | Azure | Cloud Deployment | Scalable Cloud Architecture
Docker | Kubernetes | Microservices | MLOps | CI/CD
Security Best Practices | API Protection | System Design | High-Performance Architectures
What I Deliver:
Production-ready AI MVPs that scale
Full stack Computer Vision and LLM applications
High-performance backend systems and APIs
Real-time computer vision pipelines
Scalable cloud deployments with monitoring and logging
Clean, maintainable, and well-documented code
If you're looking to build a high-performance Computer Vision or AI Agent system or scale your existing MVP, I can help you validate your idea, design system architecture, build your MVP, and scale it into a production-ready Computer Vision product with strong performance, reliability, and business impact.
Keywords:
Computer Vision, Object Detection and Tracking, YOLO, OpenCV, Real-Time Video Analytics, Nvidia DeepStream, Image Processing, Image Analysis, OCR, Edge AI, Computer Vision Software, Nvidia Triton Inference Server, Multi-GPU Inference, PyTorch, TensorFlow, Deep Learning, Neural Network, Machine Learning, MLOps, AI Deployment, Docker, AWS, Azure, Python, FastAPI, Django, Segmentation, Image Classification, Face Recognition, Pose Estimation, Action Recognition, Optical Flow, Depth Estimation, Image Generation, Anomaly Detection, Vision Transformer, CLIP, SAM, MediaPipe, Data Augmentation, Transfer Learning, Fine-Tuning, Model Quantization, Camera Calibration, Stereo Vision, LiDAR, Point Cloud Processing, Autonomous Driving, Medical Image Analysis, Kubernetes, AWS SageMaker, Google Cloud Vertex AI, ONNX, Flask, Streamlit, Jetson Nano, Embedded Vision, Pattern Recognition, Biometrics, Video Surveillance, Defect Detection, Industrial Automation, Robotics, Face Detection, Pedestrian Detection, Lane Detection, Autonomous Vehicles, Medical Imaging, CNN, Transformers, ChatGPT, Natural Language Processing
Steps for completing your project
After purchasing the project, send requirements so Hassaan can start the project.
Delivery time starts when Hassaan receives requirements from you.
Hassaan works on your project following the steps below.
Revisions may occur after the delivery date.
Initial Consultation
Reviewing the requirements with the client and ask any necessary clarifying questions to ensure everything is clear for moving forward.
Planning/Research
Gathering relevant information and narrowing down the technologies to be used such as vector DBs, APIs, web server and development architecture.