AI/ML Engineer | Computer Vision | Robotics | Backend Systems

B.Tech in Computer Science at Faculty of Technology, University of Delhi.

I enjoy building machine learning systems, computer vision pipelines, and scalable backend applications. My experience includes developing AI-driven solutions and robotics systems through internships and research work.

• Machine Learning
• Deep Learning
• Computer Vision
• Robotics & Autonomous Systems
• Scalable Backend Systems

Languages Python, C++, C, Java, SQL, MATLAB

AI / ML PyTorch, TensorFlow, scikit-learn, OpenCV, HuggingFace, LangChain

Backend & Frameworks FastAPI, Flask, Streamlit, REST APIs

Cloud & DevOps Docker, AWS, Azure, Kubernetes, GitHub Actions

Robotics ROS, ROS2, Gazebo

Databases PostgreSQL, MySQL, MongoDB

Built an LLM-based system using Gemini + LangChain to summarize resumes and identify skill gaps. Developed a full-stack application with FastAPI, Streamlit, PostgreSQL, and Docker.

Developed a deep learning model using PyTorch + ResNet50 to classify bird species from audio recordings with 98% accuracy.

Designed a time-series signal processing framework for spindle fault classification, improving early detection accuracy by 30–40%.

Built a computer vision pipeline using YOLOv8 and U-Net to detect pellet size defects in industrial manufacturing.

LinkedIn: https://linkedin.com/in/meghanshk GitHub: https://github.com/MeghanshK