Open to opportunities

Jainisha Pathak

@jainishapathak

Message

AI Trainee with expertise in machine learning and data analytics.

Zimbabwe

Message

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

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

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

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.