Henil Panchal

I help companies turn raw data into intelligent, production-ready AI systems.

As an AI Engineer, LLM Engineer, and Data Scientist, I specialize in designing end-to-end solutions that combine machine learning, deep learning, NLP, LLMs, data engineering, and backend development to deliver measurable impact.

I bring experience developing advanced Vision-Language Models, fine-tuning Large Language Models (Llama, Qwen, Deep Seek R1, phi-2, tiny-llama, etc.), building predictive modeling pipelines, and deploying scalable AI applications across cloud and serverless environments. My work spans computer vision, natural language processing, recommender systems and AI automation.

What sets me apart is my ability to handle the full lifecycle:

- Machine learning & deep learning: model training, model evaluation, model optimization, feature engineering, clustering, classification, regression, anomaly detection, ML theory

- LLM & NLP engineering: prompt engineering, PEFT/LoRA, adversarial finetuning, text processing, NLP applications, AI and advanced analytics

- Computer vision: image processing, segmentation, CNNs, VLMs, real-time inference pipelines

- AI automation: n8n, workflow automation, cross-platform interfaces (Flutter), mobile app deployment, frontend interfaces with cross-device compatibility

🧩 Typical Projects I Deliver

- Custom LLM training, tuning, and evaluation

-Vision and VLM solutions (classification, segmentation, quality prediction, real-time inference)

- End-to-end machine learning pipelines (from data ingestion to deployment)

- AI automation workflows and intelligent microservices

- Full-stack ML-powered applications (Python + Flutter + APIs)

Whether you need a prototype, a research-grade model, or a production system, I can help you build reliable, optimized, and future-proof AI solutions.

If you’re looking for an engineer who can seamlessly connect data, modeling, and deployment, let's build something intelligent together.