Akhil Theerthala
akhiltvsn@gmail.com
Senior Data Scientist specializing in AI Research, Financial ML, and Open Source Contributions
✍️ Blog & Writings
🌟 NeuroNuts Blog
Founder & Primary Author | neuronuts.in
“Just a fun project that I started. But as I maintained it, I started seeing it as something more. This time, I want to do it right. Keep things simple. Just share what I learn.”
NeuroNuts is my personal technical blog where I share insights, practical tips, and learning experiences in machine learning and AI. The blog focuses on making complex concepts accessible and providing actionable guidance for ML practitioners at all levels.
🎯 Blog Philosophy
- Keep things simple: Complex concepts explained in understandable terms
- Share what I learn: Real experiences from research and industry work
- Practical focus: Actionable insights over theoretical discussions
- Community-driven: Content that helps others in their ML journey
📝 Medium Publications
181 Followers | Contributing Writer on Towards AI
Featured Articles:
🗺️ “Machine Learning Roadmap — Part 1: Personal Recommendations for Beginners”
A comprehensive guide for ML beginners based on personal experience and industry insights
Key Topics:
- Structured learning path for ML newcomers
- Personal recommendations based on real-world experience
- Practical advice on avoiding common pitfalls
- Resource recommendations and learning strategies
Impact: Community favorite for starting ML journey, shared across multiple platforms
💡 “Creating a Reasoning Dataset with No Budget”
Practical methodology for dataset creation based on competition-winning experience
Key Topics:
- Cost-effective approaches to AI research
- Step-by-step dataset creation methodology
- Quality assurance for reasoning datasets
- Lessons learned from winning the Reasoning Dataset Competition
Recognition: Based on the PersonalFinance_v2 dataset that won first place in the Bespoke Labs/HuggingFace competition
📚 MLOps Specialization Course Reviews
In-depth technical analysis and practical insights from hands-on experience
Series Includes:
- Detailed course breakdowns and learning outcomes
- Practical applications in real-world scenarios
- Comparison of different MLOps approaches
- Recommendations for different career paths
Value: Helping community make informed decisions about professional development
🎙️ Content Themes
🔬 Research & Development
- Dataset creation methodologies
- Model optimization techniques
- Research insights from competitions and publications
- Open source contributions and their impact
🏭 Production Machine Learning
- Deploying models at scale
- Optimization strategies for resource-constrained environments
- Real-world MLOps challenges and solutions
- Performance monitoring and model maintenance
📈 Career & Learning
- Personal journey from aerospace engineering to AI
- Transitioning between domains
- Continuous learning strategies
- Building a portfolio in AI/ML
💰 Financial AI & FinTech
- Domain-specific model development
- Challenges in financial document processing
- Regulatory considerations in AI for finance
- Scaling AI solutions in enterprise environments
📊 Content Impact
Reader Engagement:
- 181 Medium followers with growing engagement
- Published on Towards AI - premier AI publication
- Cross-platform sharing of educational content
- Community discussions sparked by technical posts
Educational Value:
- Beginner-friendly roadmaps helping newcomers navigate ML
- Practical tutorials based on real-world experience
- Course reviews saving time and money for learners
- Competition insights sharing winning strategies
🚀 Upcoming Content
In Development:
- “Building Your First Reasoning Dataset” - Complete tutorial series
- “Single-GPU Deployment Strategies” - Optimization techniques for resource-constrained environments
- “From Academic Research to Production” - Bridging the gap between research and industry
- “Financial AI: Challenges and Opportunities” - Domain-specific insights
Content Series Planning:
- Deep dive into transformer architecture (complementing BYOT repository)
- MLOps best practices from enterprise experience
- Competition strategies for Kaggle and HuggingFace competitions
- Career transition stories in AI/ML field
💬 Community Engagement
Discussion Topics:
- AI Ethics in Financial Applications: Responsible AI development
- Open Source vs. Proprietary: Making strategic decisions in AI projects
- Academic vs. Industry: Balancing research and practical implementation
- Resource Optimization: Doing more with less in AI development
Speaking & Presentations:
- Technical workshops on dataset creation
- Industry talks on production ML at scale
- Educational sessions on career transitions in tech
📧 Newsletter & Updates
Stay updated with my latest writings and insights:
- NeuroNuts Updates: Subscribe on the blog
- Medium Stories: Follow @akhiltvsn
- Professional Updates: Connect on LinkedIn
🤝 Collaboration & Guest Posts
I’m open to:
- Guest posting on relevant platforms
- Collaborative writing on AI/ML topics
- Technical interviews and discussions
- Workshop facilitation on dataset creation and model optimization
Topics I’d Love to Explore:
- Cross-domain applications of AI
- Efficient AI for developing markets
- Academic-industry collaboration models
- Sustainable AI development practices
Have a topic you’d like me to write about? Interested in collaboration? Feel free to reach out!
📱 Follow My Writing Journey
