About ME

I am a Computer Science graduate from PSG Institute of Technology and Applied Research, currently working as a Software Development Engineer at BNY Mellon Technology, specializing in AI-driven enterprise solutions leveraging large language models. My core interests include artificial intelligence, deep learning, GPU-accelerated computing, and generative models, with hands-on experience in optimizing model performance and scalability. I am passionate about advancing research at the intersection of AI and high-performance computing, collaborating on innovative projects that bridge theoretical concepts with practical applications.

Skills

Experience

Education

  • C
  • C++
  • Python
  • Java
  • HTML,CSS,JS
  • Aug 2024 - Present
    Software Development Engineer at BNY Mellon Technology Private Limited
    • Developing enterprise AI solutions using Eliza AI platform powered by large language models to automate application data retrieval without SQL. Led training for AI platform adoption, improved regulatory email notifications integration, and upgraded server security protocols to safeguard data compliance.
  • Jan 2024 - Jul 2024
    Research Intern at AU-KBC Research Centre
    • Developed Transformer models for financial text causality extraction using XLM-RoBERTa, achieving 96.04% accuracy and securing 4th place globally in SemEval 2024. Enhanced predictive algorithms by leveraging deep learning techniques.
  • Jun 2023 - Jul 2023
    Intern at IIT Palakkad
    • Worked on deep learning methods for computer vision and neural rendering, focusing on GPU-accelerated model optimization and real-time image generation techniques.
  • Apr 2023 - May 2023
    Intern at SAP Labs
    • Worked on implementing and optimizing deep learning models for natural language processing tasks, improving model efficiency and accuracy in enterprise applications.
  • Aug 2022
    Intern at IIT Guwahati
    • Specialized in deep learning methods for NLP, focusing on transformer models and advanced embeddings within a specific subdomain of deep learning.
  • 2020-2024
    PSG Institute of Technology and Applied Research
  • 2018-2020
    Chettinad Vidyashram
  • 2008-2018
    Smt.Ramkuwar Devi Fomra Vivekananda Vidyalaya

Publications

FinNLP 2025 Paper

Cause-Effect Extraction in Finance Domain (FinNLP 2025)

Developed RoBERTa-based transformer model to extract cause-effect relations in financial disclosures.
Achieved 96.04% accuracy in English (4th worldwide) and 96.07% in Spanish.

Animal Behavior ICCCPT 2025

Automated Animal Behavior Recognition (IEEE ICCCPT 2025, Best Paper Award)

Built a hybrid model (VGG-16 + ResNet-50 + LRCN) for cat and dog behavior classification.
Achieved 91% accuracy and received Best Paper Award.

Hindi Handwriting ICNGCS 2025

Hindi Handwritten Word Recognition (ICNGCS 2025)

Trained a ResNet-50 CNN for Hindi handwritten words, achieving 97% accuracy on a custom dataset.
Outperformed Google OCR by 60%, highlighting the importance of domain-specific models.

My Projects

User Personality Prediction

I designed a system using AngularJS and Python's Instagram Scraper with Selenium. It scrapes Instagram data based on user input, and a sentiment analysis model predicts user personality traits. The results are stored in a NoSQL database and displayed in a user-friendly format using the MEAN stack.

Receipt Scan - Sustainable Fund

I developed a system that automates the analysis of uploaded receipts and invoices using React.js, AWS, and OpenAI. Users upload documents via the front-end, and the system extracts data with AWS services like S3, Lambda, and Textract. OpenAI is employed to assess the sustainability of extracted items. Results, including sustainability ratios, are presented on the user-friendly front-end.

See more

Contact Me

ksvibhav@gmail.com

+91 7904716694

 Download CV

Copyright VibhavKrishnan KS