ML / AI Systems Candidate
Building a strong foundation in applied machine learning, operational analytics, automation, and support-focused AI systems.
Rakesh Ravikumar
Background
I come from a technical support and IT operations background, where structured troubleshooting, escalation quality, and repeatable operational workflows became core strengths. I am now applying that same systems mindset to machine learning, automation, and support-oriented AI projects.
5+
Years in Technical Support & IT Operations
3
Featured Applied AI / ML Projects
20+
Network & Service Incidents Resolved Daily
2024–26
MSc in Artificial Intelligence
🏅 Certifications & Courses
Continuous learning and professional development across multiple domains
Technical Stack
Technologies and tools I use to build innovative solutions
Pandas
30 projectsData manipulation and analysis
Scikit-learn
25 projectsMachine learning and predictive modeling
NumPy
25 projectsNumerical operations and array processing
TensorFlow
15 projectsDeep learning and neural networks
NLP
20 projectsNatural language processing & classification
AI & ML Expertise
Specialized in cutting-edge AI technologies and modern machine learning architectures
Large Language Models
Advanced fine-tuning and deployment of state-of-the-art language models
Technologies
Key Achievements
- Fine-tuned 15+ custom LLMs for domain-specific tasks
- Implemented LoRA/QLoRA for efficient parameter updates
- Deployed production-ready inference endpoints
Transformer Architecture
Deep understanding of attention mechanisms and neural network architectures
Technologies
Key Achievements
- Built custom transformer models from scratch
- Optimized attention mechanisms for efficiency
Generative AI & GANs
Creating synthetic data and generative models for various applications
Technologies
Key Achievements
- Developed custom GAN architectures for image synthesis
- Implemented diffusion models for high-quality generation