📚 Publications & Research
📝 Research Papers
Under Review
FinNLP 2025 Workshop (EMNLP)
- Status: Paper under review
- Conference: Financial Natural Language Processing Workshop at EMNLP 2025
- Research Focus: Financial reasoning models and document processing
🏆 Competition Wins & Datasets
PersonalFinance_v2 Dataset
🥇 First Prize - Reasoning Datasets Competition 2025
- Organizers: Bespoke Labs, HuggingFace & Together.AI
- Achievement: First place winner in prestigious reasoning dataset creation competition
- Impact: 23 likes, 7.04k rows, actively used by the AI community
- DOI: doi:10.57967/hf/5234
- License: Apache-2.0

✍️ Technical Writing & Blog Posts
NeuroNuts Blog (neuronuts.in)
Founder and Primary Author
Technical AI and ML content focusing on:
- Practical machine learning implementations
- Dataset creation methodologies
- Model optimization techniques
- Educational content for ML practitioners
Medium Publications
181 Followers | Published on Towards AI
Featured Articles:
“Machine Learning Roadmap — Part 1: Personal Recommendations for Beginners”
- Comprehensive guide for ML beginners
- Personal insights and practical recommendations
- Community favorite for starting ML journey
“Creating a Reasoning Dataset with No Budget”
- Practical methodology for dataset creation
- Cost-effective approaches to AI research
- Based on competition-winning experience
MLOps Specialization Reviews
- In-depth course reviews and technical analysis
- Practical insights from hands-on experience
- Helping community make informed learning decisions

🎓 Academic Research
Georgia Institute of Technology
Research Affiliate - Financial Services Innovation Lab
August 2025 - Present
Research Focus:
- US finance corpora curation
- High-quality financial QA pairs with explicit chain-of-thought
- Generalized financial reasoning models
- Ablation studies across dataset-difficulty bands and model scales
IIT Kharagpur Undergraduate Research
“Impact of Social Engagement on Crowdfunding Campaigns”
August 2022 - April 2023
Advisor: Dr. Swagato Chatterjee, COEAI, IITKGP
Research Methodology:
- Identifying characteristics that inspire social media users to participate in crowdfunding campaigns
- Analyzing relationship between social media engagement and funds raised
- Uncovering motivating factors connecting social engagement to funding success
Duration: 9 months of intensive research
Outcome: Comprehensive analysis of social media’s impact on crowdfunding success
📊 Research Impact
HuggingFace Contributions
- 5 Published Models in the Kuvera series
- 8+ Datasets with specialized focus on financial reasoning
- 400+ Total Downloads across models and datasets
- 70+ Community Likes demonstrating research value
- Build Your Own Transformer (BYOT): Educational repository for transformer architecture
- HF-TIMM Benchmarks: Expanded benchmarking suite for vision models
- RAG Paper Retrieval: Simple system for ML paper discovery
🎯 Research Interests
Primary Areas:
- Financial AI & FinTech: Behavior-aware personal finance language models
- Reasoning Systems: Chain-of-thought dataset creation and model training
- Production ML: Efficient, scalable AI systems for enterprise deployment
- Multimodal AI: Vision-language models for document processing
Emerging Interests:
- Domain-Specific LLMs: Building specialized models for vertical applications
- Efficient AI: Single-GPU deployment and model optimization
- AI Safety: Dependable AI-ML systems for financial applications
📈 Citation & Recognition
Competition Recognition:
- 🥇 First Place Winner - Reasoning Dataset Creation Competition 2025
- 🏆 Finalist - Perfios IdeaFest 2024-25 for innovative healthcare concept
Academic Achievements:
- Scholarship Recipient - Udacity-AWS AI & ML program
- Research Affiliate - Georgia Tech Financial Services Innovation Lab
- PersonalFinance_v2 dataset widely adopted by AI community
- Kuvera models reaching 3,000+ downloads in first month
- Technical content helping thousands of ML practitioners
🔮 Upcoming Publications
In Progress:
- FinNLP 2025 workshop paper (under review)
- Research on efficient financial reasoning models
- Methodology papers on dataset creation for domain-specific AI
Planned Research:
- Comprehensive study on single-GPU deployment optimization
- Analysis of reasoning capabilities in financial domain models
- Collaborative research on AI safety in financial applications
For collaboration opportunities, research partnerships, or questions about any publications, please contact me.