Machine Learning Artificial Intelligence

Asmi Sawant

Buffalo, New York, ***** +1-716-***-**** ********@*******.*** LinkedIn GitHub

Education

University at Buffalo (SUNY) Buffalo,NY

Master’s in Artificial Intelligence Expected December 2025

•Relevant Coursework: Introduction to Machine Learning, Basics of AI, Algorithm Analysis and Design, Computer Vision, Reinforcement Learning, Deep Learning, Pattern Recognition, Num Mathematics for Comp DS

University of Mumbai Mumbai, India

Bachelor’s of Engineering in Information Technology, Honours in AIML Graduated June 2024

•Relevant Coursework: Artificial Intelligence and Data Science, Big Data Analysis, Specialized course in AIML, Data Structure and analysis,Advanced Data Management, Data Mining and BI, Information Retrieval System,MIS

Technical Skills

Languages: Python, JavaScript, SQL, HTML, CSS, NoSQL, Flutter

Technology: Machine Learning, AI, NLP, Node.js, MongoDB, Power BI, Big Data Analytics, Deep Learning, Bootstrap Frameworks/Modules: ReactJS, Pandas, NumPy, Matplotlib, seaborn, StreamLit, Scikit-learn, PyTorch, Keras, Hadoop, Spark, OpenCV, AWS

Tools: Git,Microsoft Word, Advanced Excel, OpenAI, Microsoft PowerPoint,Google Workspace,Jupyter Notebook, AWS Research Skills: Critical Thinking, Adaptability, Problem-Solving, Collaboration, Data Analytics, Literature Review

Experience

University at Buffalo, School of Engineering and Applied Sciences (SEAS) Buffalo,NY

Volunteer Research Assistant – Computer Vision & Robotics March 2025- present

•Collaborating with Prof. David Doermann, Chair of the Department of Computer Science and Engineering, on robotics research using the Unitree Go2 quadruped robot and the Unitree Go2 SDK.

•Developing computer vision-based object detection systems using Python, OpenCV, and ROS to enhance environmental perception and autonomous navigation using real-time datasets.

•Applying deep learning models with PyTorch and TensorFlow for real-time visual recognition and decision-making in dynamic environments.

GST Logistics Pvt Ltd. Mumbai,India

Data Engineer Intern April 2023-May 2024

•Worked extensively on a logistics web application, leveraging SQL, Power BI, and Tableau to extract, analyze, and visualize data, providing actionable insights for decision-making.

•Trained and developed ML models to predict customer behavior, resulting in 40% increase in system efficiency.

•Leveraged proficiency in SQL, Python, data visualization tools, and NoSQL databases, demonstrating strong technical skills in data analysis and engineering.

Home Revise Education Pvt. Ltd. Mumbai,India

Front-End Developer Intern December 2022-March 2023

•Developed a text-based user interface for a quiz application using ReactJS, enhancing user engagement by 40% and improving retention by 25%.

•Contributed to the overall application’s interface, ensuring a visually appealing and user-friendly experience.

•Demonstrated proficiency in ReactJS, web development principles, and debugging techniques to deliver a high-quality product.

Projects

Ontrans – Move With Ease

•A logistics web application with shipment tracking, three-tier user dashboards, and role-based access control using the MERN stack (ReactJS, Node.js, PostgreSQL).

•Built a Random Forest Classifier model with 84.27% accuracy to predict customer behavior and integrated an AI-powered chatbot using Dialogflow and Kommunicate to automate customer support.

•Implemented data visualization and analytics tools using PowerBI and Tableau for customers to monitor shipment performance, customer metrics, and operational insights, enhancing decision-making in logistics operations.

•Technology used: ReactJS, Machine Learning, Power BI, SQL, Node.js, cPanel, VS Code

Multivision Guardian AI Detection System

•Developed a multimodal AI system to detect AI-generated content across text, images, and PDFs using a modular pipeline with a weighted ensemble model, achieving 95.6% overall accuracy.

•Fine-tuned a RoBERTa transformer for text classification (93.4%), trained a custom CNN on 100K+ images for artifact-based image detection (89.2%), and implemented a PDF analyzer using PyMuPDF for metadata and structural validation (91.0%).

•Utilized Python, PyTorch, TensorFlow, HuggingFace, and data preprocessing tools to process large-scale multimodal datasets, targeting use cases in fraud detection, academic integrity, compliance, and misinformation prevention.

Cyberbullying Detection

•Developed an SVM-based classification model using scikit-learn and pandas to detect and categorize cyberbullying from social media text with 87% accuracy.

•Applied text preprocessing, feature extraction, and anomaly detection techniques for classification on large text datasets.

•Technology used: ReactJS, machine learning, SVM classifier, pandas, feature extraction, data modeling

Publications and Achievements

•Publication: ”Enhanced Logistics Management Through Predictive Modeling and Analysis Framework,” in Proc. 8th Int. Conf. on Inventive Systems and Control (ICISC), Coimbatore, India, 2024, pp. 259-265, doi: 10.1109/ICISC62624.2024.00051.

•Runner Up in “AI for Good Hackathon” (Spring 2025), hosted by UB Startup and Innovation Collaboratory, University at Buffalo

•First Prize Winner – Projection 2024 Project Presentation Competition, presented by the Institution of Electronics and Telecommunication Engineers

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