YASHWARDHAN SINGH TOMAR
Singapore
Summary
A highly motivated Computer Science student at Nanyang Technological University (NTU), Singapore, with expertise in Artificial Intelligence, Machine Learning, and Software Development. Skilled in Neural Networks, Transformer-based Models, and Large Language Models (LLMs), with hands-on experience in Python, SQL, AWS DynamoDB, FastAPI, and LangChain for AI-powered applications. Adept at full-stack development, cloud computing, and data-driven decision-making, optimizing machine learning models and integrating knowledge graphs for intelligent querying. Recognized for contributions to sustainable AI solutions, AI-driven automation, and cybersecurity applications, while also demonstrating leadership skills in media production and technical organizations. Passionate about leveraging AI, software engineering, and cloud technologies to drive innovative, data-driven solutions for real-world challenges.
Overview
1
1
year of professional experience
Work History
AI Intern
Proplens AI
09.2024 - 11.2024
- LLM-Based AI Chatbot – Developed an AI chatbot tailored for the real estate industry using Large Language Models (LLMs).
- Automated Entity Extraction – Implemented automated extraction of key property details to streamline data processing.
- Knowledge Graph Integration – Utilized knowledge graph-based querying to provide accurate and contextually relevant responses.
- AI-Driven Productivity – Enhanced real estate workflows with multilingual support and AI-powered features to improve agent efficiency.
Machine Learning Intern
ST Microelectronics
05.2024 - 07.2024
- Transformer-Based Model Optimization – Worked with transformer models, focusing on quantization and performance optimization for real-world deployment.
- Hugging Face Quanto Library – Utilized Hugging Face's newest Quanto library to quantize models and improve computational efficiency.
- Experimental Analysis – Conducted extensive experiments to enhance model performance and reduce resource consumption.
- AI Deployment & Efficiency – Contributed to advancing ST Microelectronics' AI capabilities by implementing state-of-the-art quantization techniques.
Education
Bachelor of Science - Computer Science
Nanyang Technological University
Singapore08.2027
High school or equivalent - PCM
Delhi Public School
Greater Noida04.2023
Skills
- Programming Languages: Python, C, SQL
- Machine Learning: Neural Networks, Transformer-based Models, Quantization Techniques
- AI & NLP: Retrieval-Augmented Generation (RAG), Knowledge Graphs, Large Language Models (LLMs)
- Cloud & Databases: AWS DynamoDB, ChromaDB, Google Cloud Platform
- Development & APIs: FastAPI, LangChain, Hugging Face, Groq LLaMA
- Software Engineering: Software Development Lifecycle (SDLC), Object-Oriented Programming (OOP)
- Data & Networks: Statistical Analysis, Algorithm Optimization, Process Management, Network Security, Database Management
- Entrepreneurial & Soft Skills: Entrepreneurial Thinking, Communication, Critical Thinking, Problem Solving, Teamwork, Multitasking, Fast Learning
Additional Information
- Media Lead – NTU School of Computing and Data Science (Jan 2025 – Present, Singapore)
- Photographer – NTU CCDS TOP Subcommittee (Jan 2025 – Present, Singapore)
- Marketing Subcommittee – International Trading Club at NTU (Aug 2023 – Present, Singapore)
- Publications and Productions Subcommittee – NTU Hall of Residence 13 (Aug 2023 – Present, Singapore)
Projects
Credit Card Fraud Detection System (Jan 2025 – Present, Singapore)
- Developed a machine learning-powered fraud detection system using Retrieval-Augmented Generation (RAG)for enhanced fraud verification.
- Implemented real-time fraud detection using Scikit-Learn models to identify suspicious transactions.
- Integrated AWS DynamoDB for secure transaction storage and ChromaDB for vector embeddings to facilitate pattern recognition.
- Leveraged Groq + LLaMA models to enhance AI-driven fraud verification and improve decision-making in fraud detection.
- Built a scalable FastAPI backend with LangChain for fraud analysis and contextual understanding.
EcoDrive AI (Jun 2024 – Aug 2024, Singapore)
- Utilized Machine Learning models to promote sustainable driving practices by analyzing OBD data.Provided real-world insights to develop good driving habits and reduce carbon footprint and fuel costs.
Stock Market Trend Predictor (Mar 2024 – Apr 2024, NTU, Singapore)
- Built a stock market predictor using Long Short-Term Memory (LSTM) neural networks to analyze and forecast daily trends of the NASDAQ index.
- Identified patterns in historical stock data to enhance prediction accuracy and support strategic investment planning.
AI Solution to Tackle Cyberbullying (Mar 2024 – Apr 2024, NTU, Singapore)
- Designed an AI-driven solution to increase bystander participation in reporting cyberbullying.
- Used deep learning for content detection and built an interactive user interface to evoke empathy and facilitate reporting.
Rejoy Health App (Oct 2023 – Nov 2023, NTU, Singapore)
- Conceptualized and designed an AI chatbot health application targeted at retired job workers suffering from chronic body pain due to poor posture.
Timeline
AI Intern
Proplens AI
09.2024 - 11.2024
Machine Learning Intern
ST Microelectronics
05.2024 - 07.2024
Bachelor of Science - Computer Science
Nanyang Technological University
High school or equivalent - PCM
Delhi Public School
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