Highly analytical Computer Science professional with proven expertise in developing and deploying advanced AI/ML solutions, including deep learning models, recommendation systems, and predictive analytics. Adept at building end-to-end applications using Python, FastAPI, and Flutter, with a strong focus on scalable, real-world AI deployment and data-driven insights. Seeking to leverage robust technical skills and project experience in AI/ML engineering, data science, or Python development roles.
Data Science Intern
N/A, N/A, India
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Summary
Developed and deployed machine learning and AI solutions, including recommendation systems and NLP tools, while supporting web platform development.
Highlights
Engineered and deployed machine learning-based recommendation systems, advanced traffic prediction analytics models, and NLP sentiment analysis tools, enhancing data-driven decision-making.
Contributed to the EvalSea project by developing a core face recognition module and provided key support for the Crafting Brain LMS web platform development.
Constructed end-to-end Flask-based applications, seamlessly integrating complex ML models with scalable web interfaces and real-time data pipelines for robust deployment.
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Bachelor of Technology (B.Tech)
Computer Science
Grade: 9.03/10 CGPA
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Intermediate
Mathematics, Physics, Chemistry
Grade: 96.70%
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High School
Secondary School Certificate (CBSE)
Grade: 87.5%
Python, SQL, HTML, CSS, JavaScript.
ALS Algorithm, Deep Learning, Collaborative Filtering, Scikit-learn, Predictive Analytics, Computer Vision, Natural Language Processing, Transformers, BLIP, Vision-Language Models, Model Deployment, Time Series Forecasting.
NLTK, Text Classification, Sentiment Analysis, Data Preprocessing, Feature Engineering, Web Scraping, Data Analysis.
Flask, Gunicorn, AWS, Selenium, API Development, Flutter, FastAPI.
REST APIs, Git, Agile Methodologies, Problem Solving, Data Structures, Algorithms.
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Summary
Developed an AI-powered mobile application that generates real-time spoken image descriptions for visually impaired users, leveraging deep learning vision-language models and a FastAPI backend.
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Summary
Built a deep learning-based traffic forecasting system to predict volume and congestion patterns for smart city planning, leveraging temporal, weather, temperature, and holiday data.
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Summary
Developed a collaborative filtering-based movie recommendation platform using the ALS algorithm on large-scale Indian movie datasets to generate personalized recommendations.