Sujay Anantha

Brooklyn, NY

(571) 525 6692

ananthasujay@gmail.com

LinkedIn

Education

New York University, Tandon School of Engineering, New York, NY

Master of Science in Computer Engineering
May 2024
GPA: 3.6
Major Courses: High Performance Machine Learning, Deep Learning, Big Data, Management Science

M. S. Ramaiah University of Applied Sciences, Bangalore, India

Bachelor of Technology in Electronics and Communication Engineering
May 2021
CGPA: 8.61
Major Courses: Embedded Systems, Computer Architecture, Image Processing, Networking Systems

Technical Skills

Programming Languages:

• C
• C++
• Python
• MATLAB
• Java
• JavaScript
• HTML
• CSS

Tools:

• Git
• SQL
• Sparql
• MongoDB
• Azure
• NoSQL
• Oracle Data Modeler
• Hive
• Apache
• Tableau
• Hadoop
• MySQL
• Pytorch
• TensorFlow
• Keras
• NumPy
• GNNs
• CNNs
• NLP
  • Hugging Face
  • NLTK
  • Spacy
  • Gensim

Platforms:

• Windows
• Linux
• Excel
• PowerPoint

Academic Projects

Vertically Integrated Project: Merger and Acquisition

October 2023 – Present

• Architected a Graph Neural Network, elevating M&A prediction precision by 20% through advanced data analytics.
• Extracted four financial datasets, streamlining processing speed by 35% and bolstering the data-driven M&A forecasting model.

Financial Security Fraud Detection Analysis and Anti Money Laundering Model

October 2023 – December 2023

• Formulated a machine learning model to dissect 1TB+ of transactions, amplifying fraud detection capabilities.
• Instituted pattern recognition algorithms on IBM AML dataset, securing a 95% accuracy rate in fraud pinpointing.

Student Capstone Project Assignment Gurobi Implementation

October 2023 – December 2023

• Built project allocation optimization for 120 students using Integer Linear Programming, heightening fairness by 30%.
• Integrated Goal Programming to balance project preferences, maximizing student satisfaction and project alignment.

Fine-tuning LLM’s on Limited Hardware

March 2023 – May 2023

• Fine-tuned a GPT-2 model boasting 1.5 billion parameters on the NIH grants dataset utilizing a single Quadro RTX 8000 GPU, optimizing resource allocation to achieve model efficiency on limited hardware.
• Accomplished a perplexity of 2.9 after 14 epochs of efficient training on NYU’s Greene high-performance computing cluster, marking a 15% improvement in model performance over standard configurations.

Emotional Valence Predictor

March 2023 – May 2023

• Developed an innovative neural network enhancing emotional analysis accuracy by 25% and accelerated data processing efficiency.
• Streamlined data workflows to increase training speed by 20% by using advanced data handling techniques.

Image Classifier

October 2022 – December 2022

• Crafted a CNN image classifier with 95% accuracy surpassing Tiny ImageNet standards and led collaborative algorithm enhancements.
• Enhanced deep learning approaches to achieve 97% accuracy in image recognition and provided mentorship on model development.

Work Experience

Intern, Raman Research Institute, Bangalore, Karnataka

June 2019 – August 2019

• Synthesized RF processing insights from 50+ technical documents, leveraging data visualization tools to improve understanding by 20%.
• Executed a high-fidelity RF transmission protocol using RTL-SDR on Raspberry Pi, ensuring a 15% boost in signal clarity.
• Created a MATLAB-based data analytics platform to refine signal-to-noise ratio computations, achieving 30% improvement over benchmarks.

Intern, Spatez Technology LLP., Thrissur, Kerala

July 2018 – August 2018

• Analyzed and benchmarked Arduino UNO and NODEMCU ESP8266 functionalities, uncovering over 20 innovative applications to enhance operational efficiency by 15%.
• Directed a team through agile project management to deliver data-centric projects, resulting in a 20% increase in process agility and team output.
• Optimized system diagnostics and data quality assessment procedures, reducing downtime by 10% and ensuring a 95% success rate in project deliverables.