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MCA AI/ML Student • Seeking Internship

Building Practical AI Projects & ML Solutions

Hi, I'm Kartik Patidar— an MCA student passionate about Artificial Intelligence & Machine Learning. I enjoy working with Python, building ML models, and developing interactive web applications.

5+

Projects Built

2+

Years Learning AI

15+

Tech Stack

OPEN TO WORKOPEN TO WORK
AI / ML ENGINEER
MCA '27
Kartik Patidar

Kartik Patidar

Khandwa, MP
PythonPyTorchFastAPILLMsScikit-learnStreamlit

Who I Am

Building intelligent systems that solve real-world problems

MCA student specializing in AI/ML — passionate about LLMs, deep learning, and developing AI-powered products that create practical impact.

Biography & Core PhilosophyAI/ML Student

I'm Kartik Patidar, a Master's student in Artificial Intelligence and Machine Learning with a strong passion for building intelligent systems that solve real-world problems. I enjoy transforming data into meaningful insights and developing AI-powered applications that create practical impact.

Flagship Project Highlight

My work spans the full AI/ML pipeline — from data preprocessing to model training and API deployment. Flagship project: AI Drug Side Effect Prediction System, a predictive ML model & web app for real-time adverse drug reaction forecasting.

AI/ML Engineering

Building end-to-end ML systems — from data preprocessing and model training to deployment and production APIs.

Generative AI & LLMs

Hands-on with LLMs, Retrieval-Augmented Generation (RAG), LangChain, and Agentic AI systems.

Product Mindset

Turning complex AI research into polished, user-facing products with clean interfaces and real-world impact.

Khandwa, Madhya PradeshMCA 2025–2027B.Sc. CS + MCA AI/ML

At a Glance

Seeking

AI/ML Engineer · Gen AI Dev

Focus

LLMs, RAG, Deep Learning

Stack

Python · FastAPI · LangChain

Goal

Build impactful AI products

Core Tech Stack

Languages

PythonJavaJavaScriptSQL

AI / ML

LLMsRAGLangChainPyTorchScikit-learn

Backend

FastAPIStreamlitREST APISQL DB

AI Agents

Agentic AILangChainGen AIPrompt Engineering

Education Snapshot

Master in Computer Application (AI/ML)

K.R. Mangalam University, Gurugram

SGPA 8.00. Specializing in Artificial Intelligence and Machine Learning.

Bachelor of Science in Computer Science

Devi Ahilya Vishwavidyalay, Indore

CGPA 7.2. Built a foundation in programming, algorithms, and applied computing.

Skills

Technical stack built through real projects and continuous learning

A curated overview of my programming languages, ML frameworks, data tools, and full-stack development skills — all applied in hands-on academic and personal projects.

Machine LearningDeep LearningLLMsRAGLangChainPyTorchScikit-learnNLPGenerative AIAgentic AIFastAPIStreamlitPandasNumPyPythonMachine LearningDeep LearningLLMsRAGLangChainPyTorchScikit-learnNLPGenerative AIAgentic AIFastAPIStreamlitPandasNumPyPythonMachine LearningDeep LearningLLMsRAGLangChainPyTorchScikit-learnNLPGenerative AIAgentic AIFastAPIStreamlitPandasNumPyPython

Languages

Programming languages and core technical foundations from the resume.

6 Techs
Python
Java
JavaScript
HTML
CSS
SQL

Python Libraries / Frameworks

Libraries and frameworks highlighted in the resume for machine learning work.

6 Techs
Pandas
NumPy
Matplotlib
Seaborn
Scikit-learn
PyTorch

Developer Tools

Tools, platforms, and productivity systems mentioned on the resume.

9 Techs
VS Code
AWS
Office 365
Power BI
Tableau
Maven
IntelliJ IDEA
GitHub
Git

Technologies / Frameworks

Frameworks and platforms used in project work and development.

5 Techs
ReactJS
Spring Boot
FastAPI
REST API
MySQL

Coursework / AI Focus

Subject areas and study focus listed in the resume coursework section.

10 Techs
Data Structures & Algorithms
Machine Learning
Deep Learning
DBMS
Artificial Intelligence
Gen AI
Agentic AI
Power BI / KNIME
Computer Networks
Web Development

Projects

ML systems and full-stack products built from scratch

A selection of academic and personal projects — ranging from NLP pipelines and predictive models to REST APIs and AI-powered dashboards.

Featured
RandomForestClassifier
78.2% Accuracy
InputsPatient & Drug
ModelFeature Matrix
OutputAdverse Reaction
Real-time Streamlit UI Prediction Pipeline
AIMachine LearningPython

AI Drug Side Effect Prediction System

Built an AI-powered Drug Side Effect Prediction System using Streamlit and a pre-trained Random Forest model to predict treatment outcomes from patient and drug-related inputs. Designed feature engineering, model loading, and real-time prediction logic for an interactive web application, achieving 78.2% model accuracy.

78.2% Model AccuracyRandom Forest ML PipelineReal-time Adverse Reaction Prediction+2 more
PythonScikit-learnStreamlitPandasNumPy
GitHub
Featured
LangChain · Agentic Flow
>Query:"Search & Scraping tool execution"
Mistral AI→Tavily/BS4→JSON Memory
Fallback System: Heuristic Active
AIGenerative AIWeb Development

Mini Agentic Chatbot

Developed a Mini Agentic Chatbot in Python using LangChain, Mistral AI, and a persistent JSON memory module, wrapped in a premium CSS-styled Streamlit UI. Engineered a dynamic tool registry (Tavily search, BeautifulSoup web scraper, math/weather tools) with a custom heuristic fallback system.

LangChain Agentic ArchitectureMistral AI LLM IntegrationPersistent JSON Memory Module+2 more
PythonStreamlitLLMLangChainGenerative AI
Live Demo
PyTorch RNN Architecture
85.45% Test Acc
Dataset50k IMDb Reviews
FeaturesTF-IDF 5k Terms
OptimizerBCELoss & Adam
NLTK Noise Removal & Porter Stemming Pipeline
Machine LearningDeep LearningPython

Sentiment Analysis using RNN

Processed 50,000 IMDB reviews using HTML cleaning, regex noise removal, stopword removal, and Porter Stemming, then converted text into TF-IDF features (top 5,000 terms). Built and trained a custom PyTorch RNN binary sentiment classifier using BCELoss and Adam optimizer, achieving 85.45% test accuracy.

50,000 IMDB Review DatasetTF-IDF Feature Extraction (5k Terms)Custom PyTorch RNN Architecture+2 more
PythonPyTorchNLTKScikit-learnPandas
GitHub

Certifications

Verified learning milestones in AI, ML & Data Engineering

Real certificates earned through hands-on coursework — from IBM Machine Learning to Microsoft Power BI and Java x AI workshops.

AI/ML Engineering & Problem Solving Bootcamp
View Certificate
Programming Pathshala

AI/ML Engineering & Problem Solving Bootcamp

Issued July 2026

Hack KRMU 5.0 — Hackathon Certificate of Participation
View Certificate
K.R. Mangalam University

Hack KRMU 5.0 — Hackathon Certificate of Participation

Issued February 2026

IBM / Cognitive Class

Machine Learning with Python (ML0101EN)

Issued 2025

Microsoft / Coursera

Microsoft Power BI — Data Analytics

Issued 2025

Java x AI: Evolution 2025
View Certificate
SkillEcted Campus Program

Java x AI: Evolution 2025

Issued November 2025

Education

Academic foundation anchored in computing and AI

My academic journey continues to shape how I think about machine learning, software architecture, and product problem-solving.

09-2025 – 06-2027

Master in Computer Application (AI/ML)

K.R. Mangalam University, Gurugram

SGPA 8.00. Specializing in Artificial Intelligence and Machine Learning.

Machine LearningDeep LearningGen AIAgentic AI
08-2021 – 03-2024

Bachelor of Science in Computer Science

Devi Ahilya Vishwavidyalay, Indore

CGPA 7.2. Built a foundation in programming, algorithms, and applied computing.

Data StructuresAlgorithmsDBMSWeb Development

Get In Touch

Let's build something intelligent and visually exceptional

Have a project idea, collaboration proposal, or job opportunity? Feel free to reach out directly or send a message.

Direct Contact

< 4h response time

Email Address

kartikpatidar087@gmail.com

Location

Khandwa, Madhya Pradesh, India

Available for Opportunities

Open

Seeking AI/ML Engineer and Software Developer roles. Open to internships, part-time, and full-time positions — remote or hybrid.

Role Focus

AI / ML Engineer

Employment

Internship / FTE

Work Mode

Remote / Hybrid

Base Location

Madhya Pradesh

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