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@paarthsahni
Driven AI/ML professional with expertise in machine learning solutions.
I am a driven and passionate AI/ML professional with a strong foundation in machine learning, deep learning, and artificial intelligence. My experience includes designing and deploying scalable AI solutions, optimizing algorithms, and leveraging data-driven insights for impactful decision-making. I am proficient in Python, TensorFlow, and Scikit-Learn, and I have expertise in building predictive models, computer vision applications, and NLP solutions.
During my internships at ClearTrail Technologies and Adani Enterprises, I researched methodologies to enhance cybersecurity frameworks and engineered a CEO dashboard for strategic insights. I successfully executed a deep learning-based proof of concept for anode defect detection, achieving a remarkable 97% accuracy. My projects, such as satellite image segmentation and potato disease classification, showcase my ability to apply deep learning techniques to real-world challenges, demonstrating my commitment to innovation and problem-solving.
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Work history, roles, and key accomplishments
ClearTrail Technologies
Nov 2024 - Feb 2025 (3 months)
Researched Agent-Based Modelling methodologies to enhance cybersecurity frameworks, focusing on network security and threat response. Designed a COVID-19 simulation in NetLogo and investigated optimization algorithms to improve cybersecurity performance.
Adani Enterprises
Jun 2024 - Aug 2024 (2 months)
Engineered a CEO dashboard for the Natural Resources department, utilizing Tableau and PowerBI. Developed a deep learning proof of concept for anode defect detection with 97% accuracy using Python and TensorFlow, while performing data analysis and creating visualizations.
Degrees, certifications, and relevant coursework
Bachelor of Technology (Hons.), Computer Science with AI & ML
2021 - 2025
Grade: 8.2
Bachelor of Technology (Hons.) in Computer Science with AI & ML. Coursework included Data Structures, Algorithms, Artificial Intelligence, Machine Learning, Deep Learning, and Neural Networks.
Software and tools used professionally
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