Sarfraz Ali

AI Engineer transforming data into intelligent solutions through the Aentic AI and Generative AI technologies .

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About Me

Abdul Razaque

With a passion for artificial intelligence and data science, I specialize in developing cutting-edge solutions that leverage machine learning and generative AI to solve complex problems. My expertise spans across various domains, including predictive modeling, natural language processing, generateive AI , agentic AI and data analysis.

I thrive in dynamic environments where innovation and continuous learning are encouraged. Whether it's building intelligent systems, analyzing large datasets, or creating engaging AI-driven applications, I am dedicated to delivering high-quality results that drive success.

My journey in AI has equipped me with a deep understanding of generative models, reinforcement learning, and advanced data processing techniques. I am committed to staying at the forefront of AI advancements to deliver impactful solutions.

Technical Expertise

Machine Learning

Advanced predictive modeling and algorithm development

Regression Classification Clustering

Generative AI

Innovative content generation and language models

LLMs RAG GANs Text Generation Image Synthesis

Data Science

Advanced statistical analysis and insights extraction

EDA Modeling Visualization Data Mining

Natural Language Processing

Expertise in language models, sentiment analysis, and text generation

Tokenization Sentiment Analysis Entity Recognition

Reinforcement Learning

Designing agents that learn optimal actions through interaction

Q-Learning Policy Gradients Deep RL

Computer Vision

Image processing, object detection, and image generation

CNNs Object Detection Image Segmentation

Featured Projects

Sindhi Chatbot

Leveraging RAG, this intelligent chatbot answers questions about Shah Abdul Latif Bhittai. It provides real-time, context-aware responses in Sindhi. Users can explore his life, poetry, and Sufi philosophy.

LangChain NLP RAG
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Multi-Tool AI Agent Chatbot

Leveraging Streamlit, LangGraph, and SQLite for an intelligent chatbot capable of real-time calculations, internet searches, and live stock price tracking with dynamic tool integration

LLM Streamlit LangGraph SQLite
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Sindhi OCR

Using Tesseract 5 with LSTM, this OCR system recognizes Sindhi script. Trained on 10,000 image-text pairs, it accurately transcribes Sindhi text.

Tesseract 5 OCR LSTM
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Sindhi Speech To Text Model

Fine-tuned automatic speech recognition (ASR) model for Sindhi, based on openai/whisper-tiny. Trained on a small corpus of paired audio-transcription examples to convert Sindhi speech to text.

LSTM Tesseract5 Whisper-tiny
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Automated Blog Generation System

An automated system designed to generate high-quality blog posts using LangGraph. The system generates a structured outline first, followed by transforming it into a full-length blog post.

LangGraph Content Generation Automation
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UPSC Essay Evalution System

The parallelized workflow for UPSC essay evaluation uses LangGraph to assess clarity, depth, and language. Each aspect is evaluated independently, providing detailed feedback. A comprehensive report is generated to help candidates improve their writing.

Essay Eval LangGraph Parallel
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Sindhi Chatbot

This project introduces a chatbot designed to provide insightful answers about Shah Abdul Latif Bhittai, a legendary Sufi poet from Sindh, Pakistan. The system utilizes Retrieval-Augmented Generation (RAG), an advanced NLP method, to generate accurate, context-aware responses based on an extensive knowledge base about his life, poetry, and philosophy.

Features include:

Live Demo | GitHub Repository

Let's Connect

Sarfraz Ali sarfrazdeveloper7@gmail.com 0311 2817660
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