I am Arjit. AI & ML Engineer based in Waterloo.

• Designed, developed, fine-tuned and evaluated scalable NLP and machine learning models using TensorFlow, PyTorch and Hugging Face.
• Built and maintained scalable data pipelines for feature extraction, validation and preprocessing alongside data science and engineering teams.
• Architected production-grade distributed systems and microservices optimised for AI inference on Docker, Kubernetes and IBM Cloud.
• Deployed, monitored and managed models through CI/CD pipelines, ensuring reliability, automated retraining and consistent performance.
• Integrated models into existing backend architectures with seamless API interoperability.
• Addressed and mitigated model drift to keep production models stable and accurate.
• Optimised inference systems for low latency and efficient resource use across cloud and containerised infrastructure.
• Provided technical guidance, documentation and training for internal teams and external stakeholders adopting AI.

Specialising in artificial intelligence and machine learning. I look forward to deepening my expertise while collaborating on research and industry-driven innovation.

Research project

Scalable Deep Learning — developing a more efficient and faster approximate nearest neighbour search algorithm.

Courses

• Data Structures and Algorithms
• Scalable System Design
• Introduction to AI
• Introduction to ML
• Neural Networks and Deep Learning
• Information Systems and Recommender Systems
• Text Analytics

Graduated with a 3.7 GPA and a strong foundation in data structures, algorithms and computational intelligence. A deep interest in AI and ML led me through research collaborations, hackathons and hands-on projects.