Personalizing LLMs (Large Language Models) based on User Profile (Python | LLM | NLP | Deep Learning)

Dec 2023

• Developed an advanced query generation function using Lexical Augmentation, elevating the accuracy rate from 0.422 to 0.869 and the F1 score from 0.35 to 0.77, demonstrating substantial enhancement in system precision and reliability.
• Optimized the retrieval process by implementing a method to extract top articles using the BM25 retriever, resulting in more relevant and accurate information retrieval.
• Devised a system for generating precise prompts based on retrieved articles and fine-tuned a Large Language Model (LLM) to improve response accuracy.

Generative 3D Reconstruction from Single Image Analysis (Python | Deep Learning)

Apr 2024

• Improved a deep learning model to transform 2D images from ImageNet into high-detail 3D models, increasing visual depth and realism.
• Refined texture quality with a multi-resolution triplane sampling strategy, improving performance without extra computational burden.
• Incorporated advanced AI technologies such as CLIP and depth estimation to convert 2D images into accurate 3D structures precisely.
• Established robust evaluation protocols with FID and Inception Score to enhance the quality of 3D models.

ML-Based Web Platform for Early Detection of Fatal Diseases (Python | Sklearn | Pandas | Numpy | Streamlit)

Feb 2023

• Created and assessed various models (SVM, Random Forest, XGBoost, ADABoost), determining the most effective for each disease.
• Applied preprocessing methods like Feature Engineering and SMOTE, boosting prediction accuracy by 4%.
• Constructed a Stacking Ensemble model (Logistic Regression, KNN, Decision Trees) with a leading 91.3% accuracy in heart disease prediction among seven ML models.
• Achieved an AUC-ROC score of 0.92, surpassing baseline models by 25% through comprehensive algorithmic exploration.
• Led a cohesive 4-member team, steering model selection and optimizing feature engineering.

Social Media platform for Researchers and Developers (Laravel (PHP) | HTML/CSS | JavaScript | Bootstrap)

Mar 2022

• Developed a web application for programmers and researchers to efficiently collaborate and network.
• Engineered a recommendation system connecting users with relevant projects and peers, leveraging skillsets and coding styles.
• Formulated a data-driven user matching algorithm using weighted scoring to connect researchers and developers based on shared interests and skills, enhancing user experience and interdisciplinary collaboration.
• Enhanced database performance by optimizing SQL queries and introducing indexed views in MySQL, which sped up data retrieval by 40% for complex searches.
• Achieved Top 10 ranking among 120+ competing teams in a Hackathon, showcasing exceptional project execution and innovation.

Intelligent Food Management Application (Laravel (PHP), HTML/CSS, JavaScript, Bootstrap)

Nov 2022

• Created an intelligent food management app, leveraging Laravel and JavaScript, resulting in a 30% reduction in food waste.
• Implemented an algorithm that calculated meal options from available ingredients, leading to a 25% reduction in grocery spending.

Technical Head at National Service Scheme (NSS) - TSEC, University of Mumbai

Sep 2021 - Jun 2022

- Organized over 80 community service events including Blood Donation Drives, Cleanup Drives, etc.