Kartik Batchu

Artificial Intelligence & Data Science Engineer

Mumbai, IN.

About

Highly motivated Artificial Intelligence and Data Science student with a strong foundation in machine learning, deep learning, and computer vision. Proven ability to develop and deploy innovative AI solutions, demonstrated through impactful projects like real-time multimodal Q&A systems and advanced neural network training. Seeking to leverage strong technical skills and a passion for data-driven problem-solving in a challenging AI/ML engineering role.

Education

SIES Graduate School of Technology

Navi Mumbai, Maharashtra, India
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Bachelor of Engineering (BE) Artificial Intelligence and Data Science Grade: 8.9 CGPA

Courses

Cloud Computing

Operating System

Computer Networks

Data Structures And Algorithms

Database Management System

Software Development LifeCycle

Cryptography And System Security

Object Oriented Programming (OOPs)

Publications

SURVEY - REGULATORY MOTIFS

IJCRT

A research paper focusing on regulatory motifs using bioinformatics and machine learning techniques. Utilized k-mer frequency vectors and GC content for DNA sequence representation beyond alignment-based methods, enabling ROC-based threshold optimization through calibrated probabilities.

Skills

Programming Languages

Python, JavaScript, C++.

Technical Domains

Machine Learning, Deep Learning, Computer Vision, Natural Language Processing.

Frameworks

Pandas, NumPy, PyTorch, Seaborn, Mediapipe, Flask.

Data Visualization Tools

Tableau, MS Excel.

Cloud & Databases

SQL.

Soft Skills

Communication, Teamwork, Leadership, Adaptability.

Projects

PALM ANALYSIS

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Summary

Developed an AI-powered palm reading system integrating Computer Vision and Zodiac Insights. Tech stack: Python, Flask, OpenCV, MediaPipe, JavaScript.

NO PROP

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Summary

Explored Gradient-Free Neural Network Training via Layer-Wise MLP Optimization. Tech stack: Python, Deep Learning, Gradient-Free Methods, MLP.

GEMINI SUITE

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Summary

Developed a Gemini-based Multimodal Q&A Application with Real-Time Text & Image Understanding. Tech stack: Python, Gemini API, Data Processing, Prompt Engineering, Streamlit.

PROCEDURAL CONTENT GENERATION

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Summary

Implemented Generative Terrain Synthesis using Deep Convolutional GANs. Tech stack: Python, Deep Learning, Image Processing, Neural Networks.