Akshat Banga — Intern

My journey in technology started very simply — with curiosity. I always wanted to understand how machines think, learn, and adapt. Over time, this curiosity pushed me deeper into Artificial Intelligence, Machine Learning, Deep Learning, and Generative AI, where I began creating solutions that actually solve real problems. I started with strong hands-on work in Python, PyTorch, TensorFlow, NLP, Computer Vision, CNN architectures, and gradually moved towards designing end-to-end AI pipelines, MLOps workflows, Kubernetes clusters, Docker containers, CI/CD automation, and cloud-native deployments on AWS, Azure, and GCP. My experience in cloud observability and product monitoring helped me build a solid engineering mindset — how systems behave in production, how autoscaling should work, and how reliability and performance go hand in hand. As I moved further, I explored LLM fine-tuning, RAG (Retrieval-Augmented Generation) systems, multi-agent AI setups, vector databases, inference optimisation, and practical GenAI applications for businesses. Along the way, I realised that one of my strongest skills is prompt engineering — crafting instructions in a way that gets the most accurate and context-aware output from large language models. Today, I see myself as someone who can bridge both sides: AI/ML/DL model development and DevOps + Cloud engineering, ensuring that whatever I build is not just intelligent but also scalable and production-ready. I enjoy working on complex challenges where innovation, data, automation, and real-world impact come together. If you’re looking for someone who can bring AI engineering, cloud expertise, DevOps discipline, GenAI development, and strong prompt engineering abilities into one workflow, I’d be glad to connect and contribute meaningfully.

Stackforce AI infers this person is a skilled AI/ML engineer with strong cloud and DevOps capabilities.

Location: New Delhi, Delhi, India

Experience: 1 yr 8 mos