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 AI Engineer and ML Specialist with a proven track record of designing and deploying production-grade AI systems that deliver measurable business impact. I bridge the gap between cutting-edge research and practical applications, transforming complex data challenges into elegant, scalable solutions.
My Background
Currently pursuing my Master's in Artificial Intelligence at Yeshiva University, I bring together academic excellence with 3+ years of industry experience. My professional journey spans from developing smart agriculture solutions (achieving 99% prediction accuracy) to architecting enterprise-grade ML systems for organizations like Bosch, Aspire Technology, and GKVK.
What I Do
I specialize in architecting end-to-end ML solutions: from designing scalable data pipelines and training sophisticated deep learning models to optimizing workflows and deploying AI systems on cloud platforms. My passion is solving hard problems through data-driven innovation and transforming organizational challenges into competitive advantages.
Core Competencies
- ▸ Machine Learning & Deep Learning
- ▸ Data Engineering & ETL Pipelines
- ▸ Computer Vision & NLP
- ▸ MLOps & Cloud Deployment (AWS, GCP, Azure)
- ▸ Python & Full-Stack Development
- ▸ Technical Leadership & Mentoring
Key Metrics
Quantified impact across projects
5+
Production AI/ML Projects
99%
Accuracy in Agricultural AI
40%+
Performance Optimizations Delivered
3
Industry Internships Completed
16+
Technical Skills & Tools Mastered
Open to: AI engineering roles, ML research opportunities, and technical leadership positions where I can drive innovation and impact.
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 99% 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
Deep Fake Video Recognition
High Accuracy Detection | Production Ready
Deep Learning, Computer Vision
My Skills
My latest Blogs
18 April 2026
Building Scalable ETL Pipelines for IoT Sensor Data Processing
Python
Data Engineering
ETL
15 April 2026
Machine Learning for Smart Agriculture: Crop Yield Prediction with Random Forest
Python
Machine Learning
TensorFlow
12 April 2026
Real-Time Object Detection: Implementing YOLOv5 for Sports Analytics
Computer Vision
OpenCV
PyTorch