Professional Overview
I’m a Computer Science undergraduate with hands-on experience in machine learning, deep learning, and AI-driven solutions, backed by internships at Deloitte and SparrowRMS. I’ve built impactful projects ranging from predictive maintenance models (R² = 0.99) to LLM-powered audit systems and hybrid deep learning models achieving 97% accuracy. What sets me apart is my ability to go beyond standard implementations—I focus on optimizing models, solving real-world problems, and integrating modern AI tools like LLMs, RAG, and computer vision into practical applications.I also bring strong team leadership and collaboration skills, having led projects and worked in fast-paced environments, along with a mindset of continuous learning and experimentation.I’m particularly interested in remote opportunities where I can contribute to building intelligent, scalable systems while continuing to grow as an AI/ML engineer.
Areas of Expertise
AI & Machine Learning Engineers
Design, train, and ship production ML models — from data pipelines to model inference at scale. Covers supervised learning, neural networks, LLM integration, and model optimisation.
data science & analytics
Extract business insights from raw data using statistical modelling, predictive analytics, A/B testing, and interactive dashboards.
NLP & Prompt Engineering
Build natural language processing systems, fine-tune large language models, and craft reliable production prompts for AI-powered products.
computer vision
Develop image recognition, object detection, video analysis, and multimodal AI systems for real-world applications.
