Jayant Cs Email & Phone Number

Seattle, WA, US

New Jersey, United States

• Developed and Deployed Gen AI / ML models for object Detection (Detectron2, YOLO) to estimate vehicle repair cost from images.
• Led the Development of a Retrieval Augmented Generation (RAG) model for a chatbot, optimizing NLP/LLM solutions for data retrieval and Question Answering.

Los Angeles Metropolitan Area

• Designed and Implemented large-scale LLM/NLP models (Langchain, OpenAI) to analyze over 100 TB of digitized newspapers extracting stock market trends.
• Developed and fine-tuned LLMs, leveraging transformer architectures for various applications, including information retrieval and semantic search.
• Streamlined Big Data processing by developing ETL pipelines with PySpark, Airflow, reducing execution time from 125 days to 4 days and costs from $240K to $3K.

Los Angeles Metropolitan Area

Created tests, quizzes and handled office hours to support and mentor graduate students.

New York, United States

• Utilized NLP and Generative AI (Transformers, BERT, and GPT-3) to develop personalized fund recommendation systems, achieving over $2M in monthly profit.
• Developed a web parser using REST API and Python Flask for efficient extraction of company revenue data.
• Utilized Advanced SQL analytics and hypothesis testing to detect anomalies in datasets, including spam and payment fraud. Also conducted A/B testing to optimize system effectiveness.

Los Angeles Metropolitan Area

• Developed Computer Vision Solutions using OpenCV to analyze 3D movements of fruit flies, achieving 87% accuracy in predicting lifespan.
• Implemented Time-Series LSTM and CNN using PyTorch, integrating with MongoDB to handle large-scale data.

Bengaluru, Karnataka, India

• Led the Development of ML models, including RNNs, to predict cognitive understanding by analyzing brain activity. Utilized TensorFlow to accurately assess test subjects’ comprehension of specific concepts.

Bengaluru, Karnataka, India

• Developed an automated ML system for extracting and analyzing failure records from firmware defects using data mining, clustering, decision trees and regression-based algorithms. This system reduced defect screening.

Master'S In Computer Science With Honors, Gpa 4/4

Coursework at Viterbi School of Engineering: CSCI 570 Analysis of Algorithms CSCI 561 Foundations of Artificial Intelligence CSCI 585.

Bachelor Of Engineering - Be In Computer Science, Gpa: 9.13/10

Primary Coursework: Calculus Probability Statistics and stochastic Processes Linear Algebra and Quantitative Analysis Data Structures.