You will get a streamlit RAG for search of financial PDFs & live market feeds


Project details
I specialize in developing AI-driven solutions that transform complex data into actionable insights. By integrating advanced NLP techniques with real-time data processing, I deliver applications that enhance decision-making and operational efficiency. My approach combines cutting-edge technology with a deep understanding of client needs, ensuring each project is tailored for maximum impact.
AI Algorithms
Large Language Model, Transformer ModelAI Applications
Natural Language Understanding, Text RecognitionAI Development Language
PythonAI Tools
Hugging Face, PyTorch, Streamlit, TensorFlow, Word2vecAI Models
LLaMAWhat's included $5
These options are included with the project scope.
$5
- Delivery Time 1 day
- Detailed Code Comments
- 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
About Asra
MLOps & GenAI Engineer
Amravati, India - 1:39 am local time
I have worked with :
- Fine-tuning Transformers (GPT, BERT, T5) for NLP tasks
- Building RAG pipelines with FAISS, Milvus, BM25
- Advanced prompt engineering and chain-of-thought strategies
- Model optimization via quantization, pruning, mixed-precision training
- MLOps orchestration using Docker, Kubernetes, Jenkins, GitHub Actions
- Workflow automation with Airflow, Prefect, DVC
- Production monitoring and logging via MLflow, Prometheus, Grafana
- Explainable AI using SHAP, LIME, Captum
- Scalable RESTful API integration with FastAPI, Flask
- Data engineering workflows with Apache Spark, Kafka, Prefect
Let’s collaborate to build robust, scalable AI solutions that meet your goals—on time and on budget.
Steps for completing your project
After purchasing the project, send requirements so Asra can start the project.
Delivery time starts when Asra receives requirements from you.
Asra works on your project following the steps below.
Revisions may occur after the delivery date.
Client Purchases Project & Shares Requirements
Receive project details, objectives, and any relevant datasets or documents from the client.
Project Initiation
Review and clarify project scope, goals, and deliverables. Establish communication channels and set expectations.