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
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.
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.
Publications
Languages
English
Hindi
German
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.