Abhinav Kumar — Intern

Computer Science undergraduate at VIT, focused on building and deploying real-world AI systems at the intersection of Machine Learning, Generative AI, and engineering. I work beyond basic model training, with hands-on experience across the AI lifecycle from fine-tuning and optimizing language models to packaging, deploying, and serving them in production-like environments. My interests lie in making models usable, efficient, and reliable, not just accurate. Core Focus Areas: • AI / ML: LLM fine-tuning, inference optimization, RAG systems, applied deep learning • Engineering: Python, FastAPI/Flask, Docker, Linux, model serving • MLOps Foundations: model packaging (ONNX / GGUF), deployment workflows, performance tuning I’m currently exploring agentic workflows and emerging GenAI patterns from a practical engineering perspective, while continuing to improve deployment reliability and system performance. Always open to connecting with engineers and teams working on applied AI, ML platforms, and scalable AI systems.

Stackforce AI infers this person is a skilled AI/ML developer with a focus on Generative AI and deployment optimization.

Location: Bhopal, Madhya Pradesh, India

Experience: 8 mos