Swarnava B.

Top Skills: 1. Programming Languages: - Python - LATEX - TypeScript - JavaScript - CSS 2. Technical Skills: - Machine Learning (ML) - Deep Learning (DL) - Natural Language Processing (NLP) - Computer Vision - Generative Adversarial Networks (GANs) - Large Language Models (LLMs) - Auto-encoders - BERT - Recommender Systems - Model Optimization - Transfer Learning - Web Scraping - YOLO - Data Visualization and Analysis - Extended Data Analysis (EDA) 3. Tools and Libraries: - PyTorch - TensorFlow - Gensim - GeoPandas - GitHub - Docker - FastAPI - Huggingface - Plotly.JS - TailwindCSS 4. Other Skills: - Academic/Technical Mentorship - Technical Paper Writing - Cross-functional Team Leadership - Teaching Areas of Interest: 1. Generative AI: - Large Language Models (LLMs) - Fine-tuning, Prompt Engineering, Few-shot Learning - Deep Generative Models - StyleGANs, Facial Attributes Manipulation, Synthetic Data Generation 2. Object Detection: - YOLO (You Only Look Once) - NAS (Neural Architecture Search) Experience: 1. Work Experience: - Student Fellow (Apprenticeship), Univ.AI (Aug 2022 - Present): - Geoffrey Hinton Fellowship - Specialized training in Language Models and Generative AI 2. Research Experience and Projects: - Stellar Forge(Jan 2024 - Ongoing): Developing intelligent content generation for academic papers with Harvard & NASA ADS. - EmoSense (Apr 2023 - Jun 2023): Predicting complex human emotions using text analysis. - The Sentient Chef(Jan 2023 - Mar 2023): Recipe recommendation system using NLP and ML. - Higgs Boson Challenge (Sep 2022 - Nov 2022): Identifying Higgs boson decay signals. - Eye for Blind (Aug 2022 - Sep 2022): Visual aid devices for the visually impaired. - Smart-TV Gesture Recognition (Mar 2022 - May 2022): Gesture recognition feature for smart TVs.