Fraud Detection using GenAI
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Summary
Developed an anomaly detection system to identify fraudulent and irregular expense claims, achieving 92% accuracy.
Highly motivated Computer Science Engineer specializing in Machine Learning, Deep Learning, and Generative AI, with a strong academic foundation and practical experience. Proven ability to deliver impactful solutions, including a fraud detection system achieving 92% accuracy and a multimodal house price estimator with an R2 score of 0.92. Recognized in competitive hackathons and actively contributes to open-source projects, demonstrating a commitment to applying advanced AI/ML techniques to solve real-world challenges.
Data Intern
Remote
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Summary
Managed client lead generation and automated data workflows to enhance reporting accuracy and project tracking.
Highlights
Generated and nurtured client leads while coordinating communication between clients and internal teams to streamline operations.
Automated ETL workflows using Python and Google Sheets API, improving reporting accuracy and project tracking by 35%.
Open-Source Contributor
Remote
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Summary
Actively contributed to open-source projects, enhancing code quality and community engagement.
Highlights
Collaborated with 8000+ developers on open-source projects hosted on GitHub during SSOC, demonstrating strong teamwork and version control skills.
Merged 4 pull requests by refactoring code, fixing issues, and integrating new features, improving software reliability and functionality.
Revamped contributor onboarding guides, increasing repository engagement by 25% and fostering a more inclusive community.
UI/UX Designer
Remote
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Summary
Designed and deployed responsive user interfaces, significantly enhancing user experience and engagement.
Highlights
Crafted and deployed a responsive UI using Figma and Tailwind CSS, reducing page load times by 40%.
Refined user interaction flows and improved visual hierarchy, elevating user engagement by 25%.
Core Member - Data Science Club & Dance Club
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Summary
Led technical workshops and coordinated inter-college events, fostering community growth and engagement.
Highlights
Spearheaded over 5 technical workshops, growing participant turnout by 60% through engaging content and effective promotion.
Mentored juniors and coordinated inter-college technical and cultural festivals, enhancing student development and community spirit.
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B.Tech
Computer Science and Engineering
Grade: 8.48/10 CGPA
Awarded By
Karnataka State Police
Achieved a semi-finalist position among the top 6 of 250+ teams by solving traffic congestion and encroachment analysis using YOLO and OpenCV, showcasing expertise in computer vision and data analysis for public safety.
Awarded By
SRM University (Microsoft + YouTube)
Achieved a Top 10 finalist position among 500+ participants by devising a real-time traffic signal optimizer leveraging OpenCV and ML-based congestion heatmaps, demonstrating advanced problem-solving and technical application.
Issued By
AWS Academy
Issued By
Online Platform
Issued By
Coursera
Python, C++, SQL.
TensorFlow, Scikit-learn, OpenCV, PyTorch.
Flask, RESTAPIs, Figma, Tailwind CSS, MERN Stack.
Git, Docker, GitHub, Google Colab, Version Control.
AWS, ETL Pipelines, Google Sheets API, PostgreSQL, Mage AI.
Machine Learning, Deep Learning, Natural Language Processing (NLP), Generative AI, Anomaly Detection.
OpenCV, YOLO.
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Summary
Developed an anomaly detection system to identify fraudulent and irregular expense claims, achieving 92% accuracy.
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Summary
Architected a multimodal regression model utilizing 1500+ property listings with both textual and image data.