Harshit Rai

AI/ML Engineer with strong project and academic background building ML and Generative AI pipelines: data preprocessing, training, evaluation, and inference. Hands-on experience with RAG-based and NLP workflows including text cleaning, parsing, chunking, and embeddings. Built backend APIs using FastAPI to expose ML/AI functionality, integrated AI models into applications, and supported deployment activities using Docker and Kubernetes.

Proficient in Python with NumPy, Pandas, scikit-learn, PyTorch, and TensorFlow, writing clean, modular, and testable code following best practices. Familiar with Generative AI concepts (LLMs, prompt engineering, RAG) and cloud platforms (AWS). Strong problem-solving ability, Git proficiency, and a genuine willingness to learn and adapt in fast-paced, cross-functional environments.

Machine Learning Engineer (Intern) - Brainwave Matrix Solutions - Noida

(2025-07 - 2025-09)

• Assisted in building and maintaining ML pipelines (data preprocessing, training, evaluation, inference) using Python and TensorFlow; achieved 45% performance improvement via model pruning and quantization.
• Contributed to backend APIs exposing ML functionality, and supported deployment activities using Docker, Kubernetes, and GitHub Actions CI/CD; reduced deployment time by 60% writing clean, modular, testable code.
• Debugged, tested, and optimized models for performance and reliability; implemented Prometheus/Grafana monitoring, maintaining 99.9% uptime across deployed services.

B.Tech - Computer Science - Sharda University (2023-08 - 2027-05)