Ayush G.

I’m an AI Engineer specializing in building end-to-end intelligent systems using large language models and modern deep learning techniques. My work focuses on transforming cutting-edge research into scalable, production-ready AI solutions. I have experience across the full AI lifecycle from model training and fine-tuning to deploying robust AI-powered applications. I’ve worked with state-of-the-art LLMs and multimodal models, designing systems that can reason, interact, and deliver real-world value. What I can help you with: 1. Prompt Engineering: Designing high-performance prompts using techniques like Chain-of-Thought (CoT), ReAct, and structured reasoning to significantly improve model outputs 2. Model Fine-Tuning: Fine-tuning LLMs (including quantized and parameter-efficient methods like LoRA/QLoRA) on custom datasets for domain-specific tasks 3. AI Model Training: Building and training models from scratch (language models, speech models, multimodal systems) using PyTorch and distributed training setups 4. AI System Development: Developing production-grade AI systems including: - Autonomous AI agents - Retrieval-Augmented Generation (RAG) pipelines - Multimodal AI pipelines - Scalable backend APIs (FastAPI, Docker) - LLM Deployment & Optimization: Serving models efficiently with GPU optimization, batching, and latency improvements - Embeddings & Semantic Search: Designing systems with vector databases like Pinecone and Milvus for intelligent retrieval I’ve built AI agents capable of reasoning over structured data, developed multimodal pipelines for complex domains, and implemented foundational models from scratch to deeply understand and control performance. If you’re looking to build reliable, scalable, and intelligent AI systems or push the limits of what LLMs can do, I’d love to collaborate.