Gaganjeet Singh
AI/ML Engineer · eNest Technologies
About
I am an AI/ML Engineer who is deeply interested in developing practical AI systems which address real-world problems. I enjoy using Python as well as machine learning, deep learning, computer vision, NLP, LLMs and RAG, and I am especially interested in finding out how models can go beyond experimentation and become useful products. While I was doing my internship at eNest Technologies I was involved in real-world machine learning systems which included computer vision, model training, data preprocessing and deployment. I constructed an age regression system using TensorFlow, MobileNetV3, MediaPipe and OpenCV, created FastAPI endpoints for serving the models, and also looked into ECG signal processing and image enhancement. I have also developed various projects, including an agricultural AI platform that combines crop disease classification with an LLM-powered RAG chatbot, as well as an ECG signal denoising and R-peak detection system. What interests me most is the process that begins with having an idea, involves understanding the problem, entails trying out various approaches, and ends with producing something that actually works. I am always learning and seeking to develop as an engineer while at the same time contributing to important AI products.
Looking for
I would like to find opportunities in the fields of AI/ML, Machine Learning Engineering, Data Science, Computer Vision, or Generative AI so that I can apply the skills that I already have while at the same time keeping on learning and growing. I am particularly interested in positions that allow me to work on real-world problems relating to machine learning, deep learning, computer vision, NLP, LLMs, RAG, or the development of AI applications. I enjoy doing hands-on engineering, carrying out experiments, and creating systems that can actually be deployed and put into use. I want to join a team where I can learn from more experienced individuals, take on challenging problems, make a real contribution, and develop myself into a better AI/ML engineer; I am willing to consider positions in which curiosity, a commitment to learning, and the ability to build are at least as important as existing experience.
Skills
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