SAMARTH SHARMA

Software Engineering graduate from Seneca College, specializing in AI systems and deep learning. Currently conducting research in Bayesion Neural Ordinary Differential Equations (BNODEs) and thinking systems at Vizuara, exploring the intersection of deep learning and dynamical systems for modeling complex temporal processes and continuous-time neural networks.

I am a deeply technical person. I'm constantly building, learning and breaking things. I'm obsessed with learning how things work and designing novel solutions to problems I can't get out of my head. Right now, I'm most curious about thinking systems, BNODEs, and deep learning architectures.

Control systems and neural networks

MICROGRID BAYESIAN NEURAL ODE CONTROL

Advanced control systems for microgrid optimization using Bayesian Neural Ordinary Differential Equations. Implementing intelligent energy management, load balancing, and renewable integration through probabilistic deep learning models that adapt to dynamic power demands and environmental conditions.

AI agent and autonomous systems

AGENT AI

Sophisticated AI agent framework with autonomous decision-making capabilities, multi-modal learning, and contextual understanding. Building intelligent systems that can understand complex environments, learn from interactions, and perform complex tasks independently while maintaining ethical boundaries.

Microservices and big data architecture

FRAGMENTS

Enterprise microservices platform designed for collecting and processing big data from various sources. Building scalable data pipelines, real-time analytics, and distributed systems that help companies aggregate, process, and derive insights from massive datasets across multiple sources and formats.

Agricultural technology and farming

AGRITRAIL

Agricultural technology system for farm-to-table traceability and smart farming solutions. Implementing IoT sensors, computer vision for crop monitoring, and blockchain for supply chain transparency. Building intelligent agricultural systems that optimize farming practices and ensure food safety from field to consumer.

Software optimization and performance

SPO-600

Advanced software portability and optimization research focusing on cross-platform performance tuning and architectural efficiency. Developing cutting-edge techniques to optimize code execution across different architectures, platforms, and hardware configurations for maximum performance.

Neural ODEs and differential equations

NEURAL ODE RESEARCH

Research in Neural Ordinary Differential Equations (Neural ODEs), exploring continuous-time neural networks and dynamical systems. Developing novel architectures for modeling temporal processes, time-series prediction, and understanding the fundamental dynamics of deep learning systems.

Black hole dynamics and astrophysics

BLACK HOLE DYNAMICS

Advanced computational physics project exploring black hole dynamics, gravitational wave analysis, and astrophysical simulations. Implementing numerical methods for solving Einstein's field equations, studying event horizon dynamics, and analyzing gravitational wave signatures from binary black hole mergers.

COVID-19 data analysis and prediction

COVID-19 INFECTION PREDICTION

Advanced machine learning system for predicting COVID-19 infection probability using multiple health parameters, demographic data, and environmental factors. Implementing ensemble models, real-time data processing, and explainable AI techniques for accurate risk assessment and public health decision-making.

Scientific machine learning and computational science

SCIML BOOTCAMP

Scientific Machine Learning bootcamp focusing on the intersection of machine learning and computational science. Learning physics-informed neural networks, differential equations, optimization techniques, and applications in scientific computing, engineering, and research domains.

Deep learning and neural networks

DEEP LEARNING

Advanced deep learning specialization focusing on neural networks, convolutional neural networks (CNNs), recurrent neural networks (RNNs), and transformer architectures. Implementing state-of-the-art deep learning models for computer vision, natural language processing, and generative AI applications.

YC Startup School and entrepreneurship

YC STARTUP SCHOOL

Intensive startup accelerator program by Y Combinator, learning from Silicon Valley's most successful entrepreneurs. Developing product-market fit strategies, fundraising techniques, and scaling methodologies. Building a strong foundation in startup fundamentals, customer development, and growth hacking techniques.

Seneca Helix Genesis Program

GENESIS PROGRAM

Innovation and entrepreneurship program by Seneca Helix, focusing on startup development and commercialization. Learning lean startup methodology, intellectual property strategies, and go-to-market planning. Building entrepreneurial mindset and practical skills for launching technology ventures.

Tech blog and programming articles

TECH BLOG

Comprehensive technical blog covering software development, programming tutorials, and technology insights. Sharing knowledge about modern development practices, coding techniques, and industry trends to help developers improve their skills and stay updated with the latest technologies.

Machine learning algorithms and data

MACHINE LEARNING

Comprehensive machine learning project collection spanning algorithms, data analysis, predictive modeling, and deep learning applications. Implementing state-of-the-art techniques in neural networks, reinforcement learning, and statistical modeling for real-world applications across various domains.

Traffic monitoring and red light detection

COMPUTER VISION RED LIGHT VIOLATION

Intelligent traffic monitoring system using computer vision to detect and identify red light violations in real-time. Processing camera feeds with advanced algorithms to improve road safety, traffic law enforcement, and urban planning through automated detection and analysis.

Computer vision and image processing

COMPUTER VISION

Advanced computer vision projects focusing on image processing, object detection, facial recognition, and visual understanding systems. Developing algorithms for real-time video analysis, automated visual inspection, and intelligent surveillance systems that can operate in complex environments.

AI companion and conversational AI

AI COMPANION

Intelligent AI companion application with advanced natural language processing, conversational capabilities, and emotional intelligence. Building empathetic AI systems that can engage in meaningful conversations, provide personalized assistance, and adapt to user preferences and needs over time.

Schulich School of Business and MBA education

MINI MBA - SCHULICH

Executive Mini MBA program at Schulich School of Business, York University. Comprehensive business education covering strategic management, financial analysis, marketing strategy, and organizational leadership. Developing critical business acumen and strategic thinking skills for technology-driven innovation.

Software engineering and AI projects

SWE FELLOWSHIP

Intensive 7-week software engineering fellowship focused on building 5 AI-driven projects spanning machine learning, computer vision, and autonomous systems. Collaborating with industry experts and researchers to develop cutting-edge solutions that push the boundaries of what's possible with artificial intelligence.

Web development and frontend technologies

WEB DEVELOPMENT

Comprehensive web development portfolio showcasing modern frontend technologies, responsive design principles, and interactive user experiences. Building dynamic websites, web applications, and user interfaces using HTML5, CSS3, JavaScript, and modern frameworks for optimal performance and user engagement.

Mathematics and machine learning

MATHEMATICS FOR ML

In-depth study of mathematical foundations for machine learning and data science, exploring linear algebra, calculus, probability theory, and optimization techniques. Building a strong theoretical foundation essential for understanding and implementing advanced ML algorithms and developing novel approaches.

Data analysis and insights

DATA ANALYSIS BLOG

In-depth data analysis blog exploring machine learning insights, statistical analysis, and data visualization techniques. Providing detailed tutorials on data processing, predictive modeling, and extracting meaningful insights from complex datasets for business and research applications.

Assembly line and manufacturing

ASSEMBLY LINE SIMULATOR

Advanced manufacturing simulation system for assembly line processes with optimization algorithms and predictive analytics. Modeling complex production workflows to identify bottlenecks, optimize resource allocation, and improve efficiency in industrial manufacturing operations.

Healthcare and clinic management

CLINIC APP

Comprehensive healthcare clinic management application for patient records, appointment scheduling, and medical workflow optimization. Building secure, user-friendly systems to streamline healthcare operations, improve patient care coordination, and enhance the overall healthcare experience.