About
I am a Computer Science Engineering graduate with a strong interest in Artificial Intelligence, Machine Learning, and Data Analytics. I have hands-on experience developing AI and data-driven projects using Python, SQL, Pandas, NumPy, Scikit-learn, TensorFlow, and FastAPI. Through internships and academic projects, I have built skills in data analysis, machine learning, problem-solving, and software development. I am eager to contribute as an AI/ML Engineer, Data Analyst, or Software Engineer while continuously learning and growing professionally.
Skills & Expertise (16)
Work Experience
AI-ML Developer Intern
Festiva Moments
Feb 2026 - May 2026
Developed an AI-powered system for automated vendor quotation generation and comparison. Implemented ML-based event price prediction and NLP-based quotation analysis. Designed a multi-agent workflow for quote generation, comparison, and negotiation assistance.
AI/ML Intern
Infosys Springboard
Sep 01, 2025 - Nov 05, 2025
Developed an AI-powered application to assess early heart disease risk using patient health data. Implemented machine learning models for risk prediction and data analysis. Performed data pre-processing, feature selection, and model evaluation to improve prediction accuracy. Designed the system to support early diagnosis and preventive healthcare decisions.
Education
B.E. in Computer Science and Engineering - T John Institute of Technology - VTU
2022 - 2026 · India
PUC - St. Francis Sales PU College
2020 - 2022 · India
SSLC - St. Mary English High School
2019 - 2020 · India
Certifications
AI-ML Developer Intern
Festiva Moments · 2026
Developed an AI-powered system for automated vendor quotation generation and comparison. Implemented ML-based event price prediction and NLP-based quotation analysis. Designed a multi-agent workflow for quote generation, comparison, and negotiation assistance.
AI/ML Intern
Infosys Springboard · 2025
Developed an AI-powered application to assess early heart disease risk using patient health data. Implemented machine learning models for risk prediction and data analysis. Performed data pre-processing, feature selection, and model evaluation to improve prediction accuracy. Designed the system to support early diagnosis and preventive healthcare decisions.
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Skills (16)
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