Empowering innovation through Artificial Intelligence.
Hi! I'm Nandan Mallikarjuna - A Growth-Focused Learner
About My Journey
Who I Am
I'm Nandan Mallikarjuna, an aspiring AI Engineer and ML enthusiast passionate about building intelligent, data-driven solutions. I enjoy bridging research and practical application, turning complex data challenges into clean, scalable projects.
My Background
Currently pursuing my Master's in Artificial Intelligence at Yeshiva University in the US, I bring together academic learning with practical exposure from three internships in India — spanning smart agriculture (a crop recommendation model achieving ~92% prediction accuracy), data engineering, and applied AI/BI projects at Bosch, Aspire Technology, and GKVK.
What I Do
I build end-to-end ML projects: from designing data pipelines and training deep learning models to deploying AI systems on cloud platforms. I'm looking for an entry-level role where I can keep learning while contributing to real-world data-driven products.
Core Competencies
- ▸ Machine Learning & Deep Learning
- ▸ Data Engineering & ETL Pipelines
- ▸ Computer Vision & NLP
- ▸ MLOps & Cloud Deployment (AWS, GCP, Azure)
- ▸ Python & Full-Stack Development
- ▸ Team Collaboration & Communication
Snapshot
A quick look at where I'm at
5+
AI/ML Projects Built
~92%
Accuracy in Agricultural AI
40%
Latency Reduced (Bosch Internship)
3
Internships Completed (India)
16
Technical Skills & Tools
Open to: entry-level AI/ML engineering roles, new-grad software engineering positions, and research opportunities in the US.
Building intelligent solutions
with AI, data, and full-stack
innovation
AI/ML Model Development
Building and training machine learning and deep learning models to solve real-world problems.
Data Engineering & Pipelines
Designing scalable ETL pipelines and preparing high-quality datasets for AI applications.
Computer Vision & NLP
Implementing vision (YOLO, CNNs) and NLP models to understand images, video, and language.
AI Deployment & MLOps
Deploying AI models with APIs, Docker, and cloud platforms for production-grade performance.
My Work Experience
Feb 2025 - May 2025
Data Engineering Intern
Bosch, Bengaluru, India
Built and maintained scalable ETL pipelines to process large-scale manufacturing sensor data for predictive maintenance. Streamlined data ingestion using Python and Apache Spark, reducing latency by 40% while ensuring data integrity and governance.
Oct 2024 - Dec 2024
AI Business Intelligence Analyst Intern
Aspire Technology, India
Developed interactive dashboards and BI reports using Tableau and Power BI to visualize KPIs. Presented actionable data-driven insights to stakeholders to support business decisions.
Oct 2023 - Nov 2023
Research Intern – Smart Agriculture (IoT & AI-based Crop Recommendation)
GKVK (University of Agricultural Sciences), India
Designed and trained a Random Forest model achieving ~92% accuracy in crop suitability predictions using soil nutrient and weather data. Presented findings promoting AI-driven smart farming practices.
My Education
Expected Aug 2027
Master's Degree in Artificial Intelligence
Yeshiva University, Katz School of Science and Health, New York City, NYC
Courses: Machine Learning, Artificial Intelligence, Deep Learning, Neural Networks, Predictive Models, Data Acquisition and Management, and AI Capstone R&D.
Jun 2025
Bachelor of Technology in Computer Science and Engineering
Vemana Institute of Technology, India
Focused on software engineering, data structures, and AI systems. Developed a deep interest in data-driven and cloud-based AI solutions.
My Certifications
2024
Artificial Intelligence Foundation
Infosys SpringBoard
Completed foundational AI concepts including supervised learning, neural networks, and applied AI solutions.
2024
Machine Learning Foundation
NASSCOM
Covered data preprocessing, model evaluation, and ML pipeline deployment.
Exam Scheduled
System Administrator (Course Completed)
ServiceNow University
Learned ServiceNow architecture, system configuration, and user management.
Ongoing
Application Developer (In Progress)
ServiceNow University
Developing low-code and pro-code applications within the ServiceNow platform.
A small selection of recent
projects
My Skills
My latest Blogs
26 June 2026
Building a Credit Risk Model: Textual Signals with Machine Learning and NLP
XGBoost
NLP
TF-IDF
9 June 2026
Medical Disease Prediction System Using Machine Learning and Explainable AI
Python
SVM
Explainable AI
21 May 2026
Real-Time Object Detection: Implementing YOLOv5 for Sports Analytics
Computer Vision
OpenCV
PyTorch