Exploring the Gap between Human Intent & AI.
"We shape our tools and thereafter our tools shape us." But this cycle breaks if our tools don't understand us. I explore the gap between Human Intent & AI, focusing on models that adapt to how people actually think and work, rather than forcing us to adapt to the machine.
I am a Senior Data Scientist with over 2 years of FinTech experience, specializing in data-centric methods for resource-efficient LLMs. My work focuses on developing generalized financial reasoning models and validating their performance through rigorous ablation studies.
I have a proven track record of community impact through open-source personal finance models, with community-adapted versions attracting over 31k+ downloads. In my professional roles, I've achieved significant business results, including a 97.5% reduction in document processing time and a 27.6% improvement in table detection performance.
Investigating the impact of social media posts on crowdfunding projects, under the guidance of Dr. Swagato Chatterjee.
During my three-month internship, I worked on projects such as evaluating business intelligence tools and recommending banking products to current account holders.
Engineered a cost-effective pipeline to generate a 20k-sample Personal Finance Chain-of-Thought (CoT) dataset. Fine-tuned 8B/14B parameter LLMs for efficient single-GPU deployment.
View on HuggingFaceEngineered an NLP pipeline to extract features from Facebook posts. Achieved a 0.82 F1 score with an ensemble model.
View CodeB. Tech, Aerospace Engineering (2019 – 2023)
Coursework: Graphical & Generative Modelling, Dependable AI-ML, DL Foundations.
Akhil Theerthala (2025) • FinNLP Workshop at EMNLP