mandarsurvework User
@mandarsurve03
AI/ML engineer and data scientist, experienced in NLP, computer vision, and end-to-end model deployment.
What I'm looking for
I am a final-year BSc (Hons) AI & ML student and AI/ML engineer, passionate about building end-to-end machine learning systems. I focus on NLP, computer vision, and deployable AI products that solve real-world problems.
Through internships and projects I developed production-minded solutions: a Hugging Face-based QnA system, a real-time credit card fraud detector with FastAPI backend and React dashboard, and a cross-platform voice-controlled assistant. I worked on data preprocessing, feature engineering, hyperparameter tuning, and model interpretability using SHAP, and I have hands-on experience fine-tuning transformer models and implementing computer vision pipelines.
I bring strong Python expertise and a practical toolset—TensorFlow, PyTorch, OpenCV, Docker, MLflow, and Git—and I am eager to contribute to collaborative teams to deliver measurable impact.
Experience
Work history, roles, and key accomplishments
AI/ML Intern
EdTech Society
Completed a 60-day internship building an advanced QnA system using Hugging Face Transformers, fine-tuning transformer models and implementing NLP pipelines for real-world applications.
Data Science Intern
CODSOFT
Completed three ML projects (Iris classification, movie rating prediction, Titanic survival) and executed end-to-end data preprocessing, model building, and evaluation to improve predictive performance.
Education
Degrees, certifications, and relevant coursework
Atlas Skilltech University
Bachelor of Science (Honours), Artificial Intelligence and Machine Learning
2022 -
Activities and societies: Member of EdTech Society; completed a 60-day internship under the Analytics, Data Science & Emerging Technologies program; projects include Iris classification, Titanic survival prediction, movie rating tasks, and a Hugging Face QnA system.
Pursuing BSc (Hons) in Artificial Intelligence and Machine Learning at Atlas Skilltech University (July 2022–June 2026). Has hands-on experience building ML and NLP projects and completing industry-focused internships.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Salary expectations
Job categories
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