From LLMs to LightRAG: A New Era of Smarter Retrieval
Dive into the evolution from traditional LLM-based RAG systems to LightRAG, an innovative approach for retrieval-augmented generation that emphasizes efficiency and smarter context retrieval.
Muhammad Ali Abbas
Lead Machine Learning Engineer at Idrak Ai Ltd.
I am Muhammad Ali Abbas (Ali), a dedicated Machine Learning Engineer and researcher with expertise in Speech AI, NLP, and Computer Vision. Over the years, I have made significant contributions to AI research, publishing papers on diagnosing COVID-19 using Swin Transformer, predictive maintenance in motor faults, and pneumonia detection through hybrid deep learning methods. My research also includes AI-based histopathological diagnosis of lung and colon cancers and identifying health factors during pandemics using feature selection and neural networks. These works reflect my commitment to solving real-world problems through AI innovation. Currently, as a Lead Machine Learning Engineer at Idrak AI Ltd., I have developed cutting-edge solutions such as outbound and inbound calling bots, CFO agents for financial analysis, and generative AI agents for various domains. Leveraging technologies like PyTorch, Huggingface, LangChain, LangGraph, and LlamaIndex, I have optimized TTS and ASR systems, created multilingual TTS systems, and engineered noise cancellation tools for real-time applications. My work also includes designing analytics dashboards with speaker diarization and text retrieval, demonstrating my ability to build scalable, impactful AI-driven products. I am actively seeking Ph.D. opportunities in Speech AI, NLP, or Computer Vision, focusing on generative models, multimodal AI, and self-supervised learning. Additionally, I am open to Machine Learning roles and collaborations with investors to scale innovative AI products. With my strong foundation in research and development, along with expertise in building advanced conversational systems and generative AI agents, I aim to push the boundaries of AI and contribute to transformative advancements in the field.
Educations
Experiences
Publications
M. Ali Abbas, S. Edrees, M. Maryam and Others
A Novel-based Swin Transfer-Based Diagnosis of COVID-19 Patients
Intelligent Automation & Soft Computing, Volume 29, January 2022, DOI: 10.32604/iasc.2023.025580
M. Ali Abbas, S. Saeed, M. Maryam and Others
A Turf Feature Selection-Based Technique for Predicting Factors Affecting Human Health During Pandemic
Life, MDPI, Volume 12, January 2022, Pages 1367, DOI: 10.3390/life12091367
M. Ali Abbas, K. Irfan, M. Khurram and Others
Comparison of Machine Learning Methods for the Diagnosis of Motor Faults Using Automated Spectral Feature Extraction Technique
Journal of Nondestructive Evaluation, Volume 40, January 2021, DOI: 10.1007/s10921-022-00856-3
M. Ali Abbas, K. Irfan, F. Faisal and Others
Condition Monitoring of Water Pump Bearings Using Ensemble Classifier
Advances in Mechanical Engineering, Volume 13, January 2021, DOI: 10.1177/16878132221089170
M. Ali Abbas, U. Syed, A. Arsalan and Others
The Application of Hybrid Deep Learning Approach to Evaluate Chest X-ray Images for the Diagnosis of Pneumonia in Children
medRxiv, Volume Preprint, January 2020, DOI: 10.1101/2020.12.03.20243550
M. Ali Abbas, U. Syed, A. Asmara and Others
The Histopathological Diagnosis of Adenocarcinoma & Squamous Cell Carcinoma of Lungs by Artificial Intelligence
medRxiv, Volume Preprint, January 2020, DOI: 10.1101/2020.05.02.20044602
Posts
From Local to Global: The Story of Graph RAGs
Explore the evolution of Retrieval-Augmented Generation (RAG) systems to Graph RAGs, which enhance global context retrieval through graph-based knowledge representations. This article narrates their journey from local retrieval systems to globally connected insights.
Life Events
2025
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Developed portfolio website
Created a personal portfolio website to showcase my projects, research, and professional achievements in AI and machine learning.
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Completed CFO-II Conversational Agent for Financial Analysis
Successfully developed CFO-II, a multimodal voice-to-voice conversational agent designed for advanced financial analysis.
2024
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Earned multiple AI certifications
Achieved certifications in Retrieval Augmented Generation for Production with LangChain & LlamaIndex by Activeloop, Training and Fine-tuning LLMs for Production by Activeloop, LlamaIndex and Intel, and LangGraph by LangChain Academy.
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Started developing CFO-II for financial analysis
Began the development of CFO-II, a multimodal voice-to-voice financial analysis agent, in late December.
2023
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Joined GC Faisalabad for B.Ed
Pursued a Bachelor of Education (B.Ed) to focus on leveraging AI for enhancing student learning and advancing educational experiences.
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Promoted to Lead Machine Learning Engineer at Idrak AI Ltd.
Took on a leadership role to oversee a team of 7 ML engineers and drive scalable AI projects, including generative agents and advanced ASR/TTS systems.
2022
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Started working at Idrak AI Ltd. as a Machine Learning Engineer
Focused on fine-tuning ASR and TTS models, training LLMs, and building AI solutions for speech and NLP tasks.
2021
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Started working at Safebeat Rx as a Machine Learning Engineer
Contributed to developing real-time ECG monitoring systems and applied deep learning for signal classification and analysis.
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Graduated with a Master’s degree in Computer Science
Completed my MS with a focus on AI, Advanced AI, and Evolutionary Computing, completing a thesis on pneumonia detection using hybrid deep learning.
2020
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Started working at ML Trade as a Machine Learning Developer
Developed AI-driven trading systems, including chart-based image classification models for predicting trade types and directions.
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Left the Government of Punjab Education Department
Transitioned from my role as a Secondary School Teacher to focus on AI and machine learning roles in the private sector.
2019
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Earned key certifications in AI and research
Completed certifications in Machine Learning by Stanford Online, Research Methods by University of London, and IBM Watson AI by IBM.
2018
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Started working at the Government of Punjab Education Department
Joined as a Secondary School Teacher, teaching Computer Science and inspiring young learners.
2017
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Started working at the University of Sargodha as a Visiting Lecturer
Taught courses like Data Structures, Programming Fundamentals, and supervised student projects.
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Graduated with a Bachelor’s degree in Information Technology
Completed my BS IT with a focus on Image Processing and Machine Learning, working on a final year project in sign language recognition.
2015
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Won a programming competition
Secured victory in the Vigorous Spark Programming Competition, showcasing my problem-solving and coding skills.
2013
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Started my Bachelor’s degree in Information Technology
Enrolled at the University of Sargodha, focusing on multimedia systems, programming, and machine learning.