Junior AI/ML Builder

Building practical projects across Applied Machine Learning, Generative AI / RAG, and AI Systems / MLOps with a foundation in structured troubleshooting and operational thinking.

RR

Rakesh Ravikumar

Junior AI/ML Builder
Open to junior ML / AI / analytics opportunities

Profile

I come from a technical support and IT operations background, where structured troubleshooting, escalation quality, and repeatable operational workflows became core strengths. I’m now applying that systems mindset to machine learning, automation, and support-focused AI projects, building practical solutions that connect technical reliability with real-world business use cases.

Structured Troubleshooting Operational Analytics Applied Machine Learning Support-Focused AI Systems
⚙️

5+

Years in Technical Support & IT Operations

</>

3+

Featured Portfolio Projects

📈

20+

Technical Incidents Handled Daily

⚡

2024–26

MSc in Artificial Intelligence

🏅 Certifications & Courses

Continuous learning and professional development across multiple domains

Udemy_Logo

Python for Data Science and Machine Learning Bootcamp

Udemy • 2018

📥 View
Tensorflow_Logo

TensorFlow / Deep Learning Fundamentals

Udemy • 2025

🔗 Verify 📥 View
Google_Cloud_Logo

Google Cloud Machine Learning Engineer Learning Path

Google • In Progress (2025–Present)

📥 View

Technical Stack

Technologies and tools I use to build innovative solutions

Pandas

Pandas

Applied in Projects

Data manipulation and analysis

Scikit-learn

Scikit-learn

Working Knowledge

Machine learning and predictive modeling

NumPy

NumPy

Working Knowledge

Numerical operations and array processing

TensorFlow

TensorFlow

Foundational

Deep learning and neural networks

NLP

NLP

Currently Expanding

Natural language processing & classification

15+ Technologies Used
3+ Applied Projects Built
5+ Years in Technical Operations
3 Certifications / Learning Paths

Practical AI / ML Focus Areas

Specialized in practical, deployable AI solutions and operational intelligence

📊

Classical Machine Learning

Focus on classification, feature engineering, imbalanced learning, and comprehensive model evaluation.

Core Skills

Scikit-Learn Pandas XGBoost

Key Projects

  • Telecom churn prediction & risk analysis
  • Support analytics & predictive prototypes
⚙️

Operational Analytics

Developing Python-based reporting, workflow analysis, and troubleshooting intelligence systems.

Core Skills

Python SQL Workflow Analysis

Key Projects

  • PCAP StoryTeller automated analysis
  • Support trend & failure reporting tools
🤖

LLM & Agentic AI

Building RAG workflows, tool-calling assistants, and memory-enabled support copilots.

Technologies

RAG Workflows Tool-calling LangChain

Key Projects

  • Customer Support Intelligence Copilot
  • Insurance Claim Support AI Agent
🚀

MLOps Foundations

Engineering deployable, portfolio-ready AI systems with modern stack foundations.

Stack

FastAPI Docker AWS/Streamlit

Focus

  • Scalable inference endpoint deployment
  • End-to-end portfolio-ready AI systems