Madhav Garg

AI/ML & Computer Vision Specialist | B.Tech. Bioengineering Student

Mandi, IN.

About

Highly accomplished B.Tech student at IIT Mandi with extensive hands-on experience in developing and deploying real-time AI systems for deep learning, machine learning, and computer vision. Proven ability to deliver high-accuracy solutions (95%+) for healthcare and industrial applications, specializing in biomedical signal processing and medical device integration. Eager to apply advanced technical expertise in Python, C++, TensorFlow, and PyTorch to drive innovation in AI-driven healthcare and industrial automation.

Work

Indian Institute of Technology Mandi

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Research Assistant, Computer Vision Lab

Mandi, HP, India

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Summary

Led the development and deployment of advanced deep learning and computer vision solutions for medical image analysis and scene text recognition within a university research lab.

Highlights

Engineered deep learning models for medical image classification, significantly boosting diagnostic accuracy by 85% in clinical use cases.

Deployed robust scene text recognition systems using advanced computer vision pipelines, enhancing data extraction capabilities.

Mentored 8+ students in AI/ML project development and conducted comprehensive code reviews, fostering team growth and project quality.

Collaborated on peer-reviewed research and contributed to the development of open-source AI tools, advancing collective knowledge.

Student Technical Organizations, IIT Mandi

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Technical Lead, AI & Vision Group

Mandi, HP, India

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Summary

Directed technical initiatives and community engagement for a student organization focused on AI and computer vision, driving skill development and project execution.

Highlights

Orchestrated 100+ participant workshops on deep learning and computer vision, empowering students in healthcare analytics and advanced AI concepts.

Spearheaded 7+ ML/AI competitions, fostering innovation in edge deployment and rapid prototyping among student teams.

Guided cross-functional technical teams using Agile methodologies, effectively building bridges between data science, software, and biomedical divisions.

Education

Indian Institute of Technology (IIT) Mandi

Mandi, Himachal Pradesh, India
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B.Tech. Bioengineering with Minor in Computing Grade:

Courses

Deep Learning

Artificial Intelligence

Computer Vision

Data Structures

Algorithms

Biosensing & Bioinstrumentation

Publications

Deep Learning for Biomedical Imaging/Signal Analysis

Various Academic Journals/Conferences

Co-authored 2+ papers focusing on the application of deep learning for biomedical imaging and signal analysis, contributing to advancements in the field.

Languages

English

Hindi

German

Certificates

AI/ML

DeepLearning.AI, Google

Biosensing/Bioinstrumentation

IIT Mandi

Deep Learning

IIT Mandi

Skills

Deep Learning

CNNs, RNNs, Transformers, Model Optimization, TensorFlow, PyTorch, Keras.

Machine Learning

Statistical Modelling, Data Analysis, Feature Engineering, scikit-learn.

Computer Vision

Object Detection, Segmentation, OpenCV, YOLO, Scene Text Recognition.

Software Development

Git, Linux, Agile Workflow, Jupyter, APIs, Docker, REST APIs.

Programming Languages

Python, C++, MATLAB.

Bioengineering

Biosensing, Signal Acquisition, Clinical Data Integration, ECG/EEG Analysis, Biomedical Signal Acquisition, Biosensor Integration.

Design & Simulation Tools

Altium, SolidWorks.

Interests

AI Research

Deep Learning for Vision and Signal, Edge AI, AI for Healthcare.

Open Source Contributions

Open-source ML libraries, Clinical AI deployment toolkits.

Projects

Advanced Scene Text Recognition System

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Summary

Developed an end-to-end Artificial Intelligence system for robust text recognition in challenging environmental conditions, particularly adverse weather.

Sports Analytics: Player/Ball Tracking

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Summary

Developed advanced real-time object detection and tracking algorithms for sports performance analysis and automated match statistics.