About
- Degree: Masters in Data Science
- Institute: State Univeristy of New York at Buffalo, USA
- City: Buffalo, New York
- Website: shruti23-ui.github.io
- Internship: Open to Summer 2027 internships
- Email: spriya3@buffalo.edu
Tech Stack:
Hi, I’m Shruti Priya, currently pursuing a Master’s in Data Science at the State University of New York at Buffalo (SUNY Buffalo). I completed my B.Tech from NIT Jamshedpur, India, in 2026, and am passionate about building AI systems that bridge research, engineering, and real-world impact, with interests in AI, Machine Learning, Computer Vision, Generative AI, and Agentic AI Systems.
I have previously worked as a Data Science Intern at PayPal and a Computer Vision Intern at Sarvam.ai, and gained research experience at DYSL–DRDO and the Machine Vision and Intelligence (MVI) Lab, NIT Jamshedpur. I also worked as an Erasmus+ Visiting Student Grantee at the Technical University of Crete, Greece. My work spans computer vision, medical imaging, document intelligence, anomaly detection, and Vision Transformers.
I am the second author of the IEEE JBHI publication, “Learning Where to Look: Differentiable Slice Selection and Efficient Channel Attention for FCD-II MRI Classification”. I also represented India at SAE Aero Design West 2025, securing 6th rank globally in the Technical Design Report category. Beyond technology, I enjoy writing, community service, and exploring new projects.
Projects Delivered
- Machine Learning
- Generative AI
- Computer Vision
- Agentic AI
- Data Analytics
Years of Data Science
- Machine Learning
- Deep Learning
- NLP
- Computer Vision
- Data Visualization
Awards & Certifications
- Data Science
- AI/ML
- Deep Learning
- Research Excellence
- Leadership
Experiences
AI & ML Development:
- Worked as a Computer Vision Intern at Sarvam.ai, focusing on document intelligence, information extraction, and Indic-language document processing.
- Worked as a Data Science Intern at PayPal, applying machine learning and data-driven approaches to real-world problems.
- Developed Generative AI and deep learning solutions using LangChain, agentic frameworks, and attention-based architectures for intelligent automation and medical image analysis.
Strategic Data Analysis & Research:
- Research intern at DRDO, Government of India, applying AI/ML to 3D/4D printing processes, improving manufacturing efficiency by 22% and precision by 18% for defense applications.
- Selected for the Erasmus Short Mobility Program at the Technical University of Crete, Greece for international research collaboration.
Business Intelligence & Data Visualization:
- Created interactive dashboards using Power BI, Tableau, Streamlit to monitor KPIs and support data-driven strategic decisions across research and business domains.
- Developed MatData Platform enabling 100+ users to visualize 10GB+ datasets with correlation heatmaps, regression analysis, and automated data pipelines using Pandas/NumPy.
- Built analytics solutions improving workflow efficiency by 60%, delivering actionable insights to technical and non-technical stakeholders.
Leadership & Strategic Execution:
- Secured 6th global rank with Team Phoenix at SAE Aero Design West 2025, California, leading the technical design report against 75+ international teams representing India.
- Head of the Core Organizing Committee at TEDxBistupur Jamshedpur, managing 10+ speakers and 500+ attendees while leading cross-functional teams.
- Contributed as the second author to an IEEE JBHI publication and presented research at national and international conferences.
Core Competencies:
AI/ML Development | Generative AI | Data-driven Decision Making | Cross-Team Collaboration | Strategic Planning | Business Intelligence |
AI & ML Solutions
Engineered advanced AI models achieving 96.8% precision, driving organizational efficiency and solving complex real-world challenges across multiple domains.
Generative AI Applications
Pioneered generative AI solutions using LangChain and agentic frameworks, reducing query latency by 35% and enabling real-time intelligent automation.
Computer Vision & Deep Learning
Optimized neural network architectures for medical imaging and safety applications, processing 15,000+ datasets with state-of-the-art accuracy.
Business Intelligence
Built interactive dashboards and analytics platforms processing 10GB+ datasets, empowering 100+ users with actionable insights for strategic decisions.
Data Strategy
Architected data-driven strategies that bridge technical innovation with business objectives, enabling evidence-based decision-making at scale.
Leadership & Execution
Led cross-functional teams and international collaborations, delivering high-impact projects from research publications to production-ready AI systems.
Portfolio
Throughout my journey from research labs in Greece to defense projects in India and AI startups, I've learned to tackle diverse challenges and deliver real impact. What sets me apart is my ability to quickly learn new technologies and apply them to solve meaningful problems—turning complex research into practical solutions that actually work.
- All
- Machine Learning and Deep Learning
- Data Visualization
- Generative AI
- Full Stack
.png)
Resume
Summary
Shruti Priya
Data Science graduate student and AI researcher with experience across machine learning, computer vision, generative AI, and intelligent systems. Passionate about building AI solutions that bridge research, engineering, and real-world impact.
- Currently pursuing a Master’s in Data Science at the State University of New York at Buffalo (SUNY Buffalo).
- Completed my Bachelor of Technology (B.Tech) from NIT Jamshedpur, India.
- Worked as a Data Science Intern at PayPal, focusing on synthetic identity fraud detection and applying data science and machine learning techniques to fraud prevention.
- Worked as a Computer Vision Intern at Sarvam.ai with the Akshar Vision team, focusing on document digitisation, parsing, and information extraction.
- Selected as an Erasmus+ Visiting Student Grantee at the Technical University of Crete, Greece, working on biomedical imaging and FCD-II MRI classification with Dr. Marios Antonakakis.
- Co-authored my work, “Learning Where to Look: Differentiable Slice Selection and Efficient Channel Attention for FCD-II MRI Classification”, published in IEEE JBHI as the second author.
- Represented India and NIT Jamshedpur at SAE Aero Design West 2025, California, our Team Phoenix secured a 6th global rank in the Technical Design Report category.
- Worked as an AI/ML Research Intern at DYSL–DRDO, Hyderabad, applying AI and ML techniques to 3D and 4D printing processes and contributing to AI-powered materials research.
- Worked as an Undergraduate Researcher at the Machine Vision and Intelligence (MVI) Lab, NIT Jamshedpur, working on biomedical imaging and steel surface defect detection using deep learning and computer vision.
- Beyond technology, I am passionate about research, writing, leadership, and community engagement, with involvement in NSS and TEDxBistupur.
Education
Master's in Data Science
2026 - 2028
State University of New York (SUNY) Buffalo, USA
Relevant Coursework: Numerical Mathematics and Computing for Data Science, Introduction to Probability Theory, Programming Databases for Data Science, Statistical Learning, Data Mining, Machine Learning & Artificial Intelligence
Bachelor of Technology
2022 - 2026
National Institute of Technology Jamshedpur, Jharkhand, India
GPA: 3.02/4.00
Relevant Coursework: Mathematics I–III, Computer Programming, Artificial Intelligence, Machine Learning, Probability & Statistics
Experience
Computer Vision Intern
April 2026 - July 2026
Sarvam.ai, India
- Worked with the Akshar Vision team on computer vision solutions for digitising documents, focusing on document parsing and information extraction.
- Developed pipelines for document processing, text extraction, and structured data generation from complex and Indic-language documents.
Data Science Intern
January 2026 - April 2026
PayPal, India
- Worked on synthetic identity fraud detection, applying data science and machine learning techniques to identify suspicious patterns and improve fraud detection.
- Analyzed data to support risk assessment and fraud prevention, contributing to data-driven approaches for detecting fraudulent activity.
Machine Learning Researcher
June 2025 - July 2025
Digital Image & Sensing Lab, Technical University of Crete, Chania, Greece
- Selected as an Erasmus+ Visiting Student Grantee and worked with Dr. Marios Antonakakis on biomedical imaging and FCD-II MRI classification.
- Co-authored my work, “Learning Where to Look: Differentiable Slice Selection and Efficient Channel Attention for FCD-II MRI Classification”, published in IEEE JBHI as the second author. View Publication
Undergraduate Researcher
2024 - 2025
Machine Vision and Intelligence (MVI) Lab, NIT Jamshedpur
- Worked on biomedical imaging under the supervision of Dr. Koushlendra Kumar Singh, Assistant Professor, CSE, NIT Jamshedpur, focusing on deep learning and medical image analysis.
- Worked on steel surface defect detection using computer vision and deep learning, with technical guidance from Mr. Sumit Singh, Head of IT Services, Tata Steel, and received Letters of Recommendation for my contributions.
AI/ML Research Intern
May 2024 - July 2024
Defence Research and Development Organisation (DRDO), Government of India, Hyderabad
- Researched AI and ML techniques for 3D and 4D printing using Python and TensorFlow, improving manufacturing efficiency by 22% and precision by 18%.
- Contributed to testing of AMDAD (Accelerated Materials Design & Development), an in-house tool for AI-powered materials R&D, and received a Letter of Recommendation for research contributions.
Skills
Seminars, Conferences & Competitions
Contact
I'm passionate about solving real-world problems with AI and machine learning. Whether you want to collaborate on a project, discuss research ideas, or offer internship and job opportunities - I'd love to hear from you.
Location:
Buffalo, New York, USA