Open to opportunities

Jainisha Pathak

@jainishapathak

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AI Trainee with expertise in machine learning and data analytics.

Zimbabwe

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What I'm looking for

I am looking for opportunities that foster innovation and allow me to grow in AI and machine learning.

I am an AI Trainee with a strong foundation in machine learning and data analytics, currently honing my skills through an internship at Google for Developers. My recent project involved integrating an EfficientDet-Lite object detection model using TensorFlow Lite, which enabled real-time object detection and localization. This experience has equipped me with practical knowledge in utilizing advanced AI technologies to solve real-world problems.

In addition to my internship, I have successfully led and contributed to several hackathon-winning projects, including a Smart Drug Inventory and Supply Chain System that achieved 95% accuracy in demand forecasting using LSTM. I am passionate about leveraging AI to enhance decision-making processes and streamline operations, as demonstrated by my work on a Generative AI chatbot and a Smart-City-Intelligent-System that integrates various cutting-edge technologies.

Experience

Work history, roles, and key accomplishments

Project Developer

Smart Drug Inventory and Supply Chain System

Apr 2024 - May 2024 (1 month)

Developed an AI-driven demand forecasting model using an LSTM-based multi-headed architecture, achieving 95% accuracy. Integrated Explainable AI for vendor selection, optimizing reorder points with Random Forest, enhancing decision-making.

NLP Machine Learning Random Forest Explainable AI

AI Trainee

Google for Developers

Apr 2024 - May 2024 (1 month)

Integrated EfficientDet-Lite object detection model using TensorFlow Lite. Utilized TFLite Task Library for on-device object detection, enabling real-time identification and localization of objects within images. Implemented TensorImage and ObjectDetector APIs for processing and detecting objects.

Tensorflow Lite TensorImage Object Detection

Project Developer

Lip Reading AI Model - LipNet

Crafted a LipNet model for automated lip reading using Deep Learning, TensorFlow, Keras, and OpenCV; achieved 95% accuracy for real-time applications in accessibility and silent communication.

Deep Learning TensorFlow Keras OpenCV LipNet

Project Developer

Smart-City-Intelligent-System

Implemented a Smart-City-Intelligent-System using CNNs, Machine Learning, OpenCV, React, Flask, FastAPI, featuring a YOLO-based real-time surveillance system and a complaint management interface backed by LLM.

CNN Machine Learning OpenCV React Flask fastAPI YOLO

Education

Degrees, certifications, and relevant coursework

University of Mumbai

Bachelor of Engineering, Artificial Intelligence & Data Science

2021 - 2025

Grade: 9.432

Pursuing a Bachelor of Engineering in Artificial Intelligence & Data Science with an average score of 9.432. The program focuses on advanced AI techniques, data science methodologies, and their applications in real-world scenarios.

S.M Shetty High School and Junior College

Higher Secondary, Science

2019 - 2021

Grade: 96%

Completed Higher Secondary education with a focus on Science, achieving a percentage of 96%. This program provided a strong foundation in scientific principles and analytical skills.