Amar Singh

Amar

About Me

Hey, I am currently pursuing a BTech in CSE with a specialization in AI & ML at VIT Chennai. My academic and extracurricular insterests are deeply rooted in building practical, scalable solutions AI, blockchain, and cloud technologies.

My interest in technology goes beyond coursework. I’ve been actively involved in clubs and organizations, leading workshops, coordinating hackathons, and collaborating on open-source projects. I bring a balance of innovation with completely dependendable work with me.

Tech skills

My current technical stack spans from languages like Python, C++, Java, TypeScript, and SQL. I’ve built, trained, and deployed models using PyTorch, Keras, TensorFlow, and Hugging Face. I also have hands-on experience with DevOps and cloud infrastructure — using AWS, Kubernetes, Docker Compose, and CI/CD pipelines — alongside full-stack technologies. Additionally, I’ve explored Web3 development with Solidity and blockchain platforms like BSV.

Looking ahead, I plan to deepen my expertise in scalable systems and advanced AI paradigms. I’m also interested in exploring prompt engineering for enterprise LLM use cases, and responsible AI principles around fairness and privacy.

Projects I worked on

Over the past year, I’ve engineered several real-world projects that reflect both breadth and depth. One of the highlights is a real-time emotion bot that detects multi-modal emotional cues using facial and vocal inputs — built as a highly available web app with a 91% accuracy rate and <200ms latency. This project integrated deep learning, audio/video processing, and UI/UX design into a seamless product.

I’ve also worked on a federated recommendation system using LSTM and differential privacy. Designed with GDPR compliance in mind, the system reached 87% of centralized accuracy while eliminating the need for direct data collection. In a more security-driven domain, I created a Credit Card Fraud Detection pipeline that tackled class imbalance and fraud pattern detection with Random Forest and SMOTE. Each project was an opportunity to learn something new and apply those insights to build robust, purpose-driven systems.

Certifications

I’ve completed IBM’s “Generative AI in Action” and “Building AI Solutions Using Advanced Algorithms” courses, gaining deeper insight into real-world GenAI implementations.

Aspirations

I aspire to become a hybrid AI Engineer and Cloud Solution Architect — someone who not only builds intelligent systems but ensures they scale reliably and ethically. My goal is to contribute to the development of responsible AI platforms that are privacy-aware, cost-effective, and deeply integrated into enterprise systems.