Specializing in Machine Learning, Deep Learning, and Distributed Systems
Currently pursuing Master's in Applied Computing at University of Windsor, with focus on Artificial Intelligence and Finance. Experienced in collaborating with industry leaders like JLR North America and TD Bank.
Master's in Applied Computing
Currently pursuing Master of Applied Computing at University of Windsor, specializing in Artificial Intelligence and Finance. Available for full-time opportunities starting September 2025.
My journey in AI and machine learning has been driven by a fascination with creating systems that can learn, adapt, and make intelligent decisions. I specialize in developing AI-driven solutions, predictive analytics, and scalable distributed systems.
Throughout my career, I've had the privilege of collaborating with industry leaders like JLR North America and TD Bank, working on cutting-edge automotive AI research and financial ML systems. My experience spans from developing self-improving language models to implementing real-time IoT analytics pipelines.
When I'm not coding, you'll find me exploring the latest research papers, contributing to open-source projects, or coordinating tech events. I've organized 50+ AI & coding hackathons, engaging over 200+ participants and fostering innovation in the tech community.
Constantly exploring cutting-edge AI technologies and methodologies
Experience leading cross-functional teams and coordinating major tech events
Passion for tackling complex challenges with creative, efficient solutions
Leading cutting-edge AI research initiatives for a global automotive leader, advancing innovative solutions through state-of-the-art AI technologies.
Collaborated directly with TD Bank as project client, developing ML systems for credit-lending decision predictions with focus on production readiness.
Developed AI-based predictive analytics and deep learning models for industrial operations, achieving significant cost reductions and efficiency improvements.
Built custom data processing solutions and automated workflows for enterprise-scale operations, focusing on performance optimization.
Led coordination of major tech events and hackathons, managing large-scale operations and engaging hundreds of participants in AI and coding competitions.
A Scalable Pipeline for Self-Improving Language Models via Reinforcement Learning and LoRA fine-tuning
Smart City Data Pipeline with NiFi, Kafka, Hadoop, and Spark for scalable IoT analytics
Distributed Multi-Task Emotion & Sentiment Classifier using DeBERTa-v3 with GPU acceleration
Edge-Aware Deep Learning Inference Framework with resource optimization and quantization
Secure QR-Based Payment & Personal Finance System with blockchain security
Real-Time Event Notification Pipeline for aurora borealis alerts
Interested in seeing more of my work?
View All Projects on GitHubMulti-GPU and distributed training optimization
Production-ready model optimization and deployment
Parameter-efficient fine-tuning with LoRA/PEFT
Text, image, and multimodal generation systems
Quantization, pruning, and edge deployment
Artificial Intelligence and Finance at Global Perspective
Comprehensive machine learning course covering supervised learning, unsupervised learning.
Advanced deep learning techniques including neural networks, CNNs, RNNs, and modern architectures.
Comprehensive AI and Machine Learning course with hands-on projects.
Advanced ML techniques and reinforcement learning algorithms.
Unix system administration and command line proficiency.
Advanced DSA concepts and problem-solving techniques.
Comprehensive Android development with Java.
Advanced Java programming concepts and best practices.
Full-stack web development with modern JavaScript.
Statistical computing and data analysis with R.
Authentication and authorization security protocols.
Big data processing with Apache Hadoop ecosystem.
Database design and SQL fundamentals.
Text processing and pattern matching with regex.
Agile methodologies and project management tools.
Automated testing with Selenium WebDriver.
API design principles and REST architecture.
Web protocols and HTTP fundamentals.
RESTful web services and API development.
Shell scripting and automation with Bash.
Big data analytics with Apache Spark.
API testing methodologies and validation techniques.
Presented research showcasing NLP techniques using Python and applying diverse ML algorithms for performance metrics, maintaining data pipelines, and statistical analysis in multimodal sentiment analysis.
Available for full-time opportunities starting September 2025. I'm passionate about AI research, machine learning, and creating innovative solutions. Let's discuss how I can contribute to your team and drive technological advancement.