About Me

I am a passionate AI/ML Engineer with a strong background in both theoretical knowledge and practical implementation of machine learning models. My expertise spans across various domains including medical imaging, conversational AI, and automation systems. I thrive on solving complex problems and transforming innovative ideas into tangible solutions.

With experience in collaborating with prestigious institutions like IISc Bangalore and IIT Madras, I bring a unique blend of technical skills and creative thinking to every project I undertake.

Education

Skills Summary

Projects

Diabetes Prediction using Machine Learning

Developed supervised models to classify individuals as diabetic or non-diabetic based on health data. Utilized algorithms like Logistic Regression and Decision Trees, achieving high accuracy metrics.

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Smart Attendance System using OpenCV

Created a facial recognition system that automates attendance tracking, eliminating manual errors and enhancing security. Features include real-time face detection and matching with a pre-registered database.

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Conversational AI Assistant with Llama 2

Built "Divine", an AI assistant using Streamlit, LangChain and Llama 2. Features a web-based interface with context-aware responses, adaptable for customer support or educational applications.

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Medical Image Classification with MONAI

Developed an AI system for classifying medical images using MONAI and PyTorch. Trained on the MedNIST dataset with advanced data augmentation techniques, achieving high accuracy for diagnostic applications.

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Personal Assistant Telegram Bot

Created "Divine", a Telegram bot with conversational logging and custom commands. Features include interaction history recording and simulated responses with potential for AI integration.

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Automated Resume Screening with RPA

Implemented a UI Path solution to automate resume screening, analyzing and sorting resumes based on specific criteria to streamline the hiring process and save recruiters time.

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Achievements

Certifications

• Machine Learning 101

  GUVI Geek Networks (Google for Education Partner)

  Acquired strong foundation in machine learning concepts including supervised and unsupervised learning, data preprocessing, and basic algorithms.

• Practical Machine Learning

  GUVI Geek Networks

  Gained hands-on experience in implementing machine learning models, solving real-world problems, and understanding practical deployment scenarios.

• Scikit-Learn for Machine Learning

  GUVI Geek Networks

  Focused on using Scikit-Learn library for building pipelines, hyperparameter tuning, and evaluating machine learning models efficiently.

• Acquiring Data Certification (Gold)

  Score: 70%

  Demonstrated expertise in data collection, analysis, and processing.

• Demystifying AI/ML

  AWS

  Gained insights into artificial intelligence, machine learning, and deep learning concepts and their applications.

• AI For Everyone

  DeepLearning.AI via Coursera

  Gained foundational knowledge in artificial intelligence and its applications.

• Front End Web Developer

  Infosys Certified

Experience

Contact Me

I'm always open to discussing new projects, creative ideas or opportunities to be part of your vision.