Kanisha Sharma — AI/ML Developer

Who I Am

About Me

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Internships

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Projects Built

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Hackathon Awards

AI & ML undergraduate at VIT Bhopal with strong Python and machine learning fundamentals. Improved open-source project efficiency by 20% through code reviews and contributions during GSSOC. Developed and tested Python solutions in a hands-on internship, applying supervised and unsupervised learning, feature engineering, and deep learning frameworks. Seeking to deliver production-grade code to optimize model performance and reliability as an ML engineering intern.

What I Know

Skills

Programming Languages

Python C++ Java

ML & Deep Learning

NumPy Pandas Matplotlib Seaborn Scikit-Learn

Frameworks

TensorFlow Keras

Web Development

HTML CSS JavaScript

Databases

MySQL Oracle SQL

Cloud Technologies

AWS Google Cloud

What I've Built

Projects

Personal Projects

View Project

Analytics Sentiment analysis

BizChain-AI

Developed an enterprise-grade business intelligence platform that democratizes access to advanced analytics and AI-driven insights.

Adapto — For Humanity project screenshot

View Project

All in one platform Social Impact

Adapto — For Humanity

Developed a platform designed to help individuals navigate emergencies, migration, disasters, and unfamiliar environments through intelligent, accessible tools.

EcoOps 360 — sustainability platform screenshot

View Project

Sustainability Cloud

EcoOps 360

Developed an intelligent sustainability platform that recommends the greenest cloud regions for your deployments powered by real-time carbon intensity data.

View Project

AI-Driven Health Tech

MindWell — Youth Mental Wellness Platform

Developed and deployed an AI-driven youth mental wellness platform using various APIs; with modules for journaling, mood tracking, community support, and a single-player game, aimed at promoting emotional well-being.

Crop Recommendation System project screenshot

View Project

Machine Learning 99.31% Accuracy

Crop Recommendation System

Developed a high-accuracy ML-based Crop Recommendation System using environmental and soil parameters, achieving 99.31% accuracy with Random Forest Classifier.

Crop Yield Prediction project screenshot

View Project

XGBoost R² 93.50%

Crop Yield Prediction

Developed a high-accuracy ML-based Crop Yield Prediction Model using historical agricultural and environmental data, achieving 93.50% R² score with XGBoost Regressor.

Collaborative Projects

View Project

AgriTech ML

AgriTech

Developed an AgriTech platform leveraging Machine Learning models for Crop Recommendation and Yield Prediction using soil, weather, and environmental data, enabling farmers to make data-driven agricultural decisions through an interactive and user-friendly interface.

My Journey

Experience

Internship

Aurora Financials Limited

Artificial Intelligence Intern

Apr 2026 – Present

Led the end-to-end development of a production-grade AI SaaS platform, building scalable GCP-based data pipelines, robust backend systems, and model evaluation workflows to support high-performance AI applications.

Internship (Part time)

Estyl

Data Engineering Intern

Feb 2026 – Present

Developed and optimized Python-based ETL pipelines on GCP to process and prepare structured data for analytics and ML workflows while improving pipeline efficiency through global team collaboration.

Open Source

GirlScript Summer of Code

Project Admin and Contributor

June 2025 – Nov 2025

Serving as a Project Admin and Contributor at GirlScript Summer of Code (GSSoC), leading project development and collaborating on open-source initiatives.

Internship

Edunet Foundation

Artificial Intelligence and Data Analytics Intern

June 2025 – July 2025

Completed an Artificial Intelligence and Data Analytics internship focused on Green Skills at Edunet Foundation, organized by AICTE.

Internship

Tamizhan Skills

Machine Learning & AI Intern

June 2025 – July 2025

Completed a Machine Learning & AI internship at Tamizhan Skills, gained practical training and skill development through the RISE Internship Program.

Internship

VaultOfCodes

Python Programming Intern

June 2025 – June 2025

Successfully completed a structured 1-month internship program focused on enhancing practical skills in Python programming through hands-on projects.

Leadership

Strategic Team Lead

INNOVATEX 2025 — Hackathon & Ideathon

March 2025 – April 2025

Successfully led and organized a large-scale innovation event with over 200+ participants, managing end-to-end planning, promotions, logistics, and cross-team coordination.

Recognition

Achievements

2^nd Runner-Up

HackLoop Hackathon

Secured 2nd Runner-Up out of 500+ teams at HackLoop Hackathon 2025, demonstrating innovation, problem-solving, strong technical expertise and teamwork.

Finalist

Neural Nexus Hackathon

Selected as a finalist among numerous participants for developing an innovative AI/ML-based solution during the Neural Nexus Hackathon, showcasing strong problem-solving and teamwork under pressure.

Finalist

Vultr Hackathon

Achieved finalist position by contributing to a high-impact tech project that demonstrated creativity, technical proficiency, and practical application of cloud-based solutions at the Vultr Hackathon.

Credentials

Certificates

Cloud Computing

Covered cloud service models, deployment strategies, and distributed infrastructure concepts.

NPTEL · May 2025

Web Development

Full-stack web development covering HTML, CSS, JavaScript, and modern frameworks.

Udemy · Jan 2025

Responsive Web Design

Hands-on certification in building fully responsive and accessible web interfaces.

freeCodeCamp · May 2024

Scientific Computing with Python

Practical Python programming for scientific and computational problem solving.

freeCodeCamp · Apr 2024

Get In Touch

Contact Me

I'm always open to interesting opportunities, collaborations, and conversations. Fill out the form and I'll get back to you.

kanisha-sharma11

GitHub

KanishaSharma11