Professional Overview
Arya Sarkar is an experienced Machine Learning and NLP engineer with over 4 years of hands-on experience in building and deploying AI systems at scale. Currently a Founding Software Engineer at Docunexus Inc., Arya has led the development of LLM-based pipelines and conversational AI platforms, including chatbots that interact with complex documents using OpenAI APIs. His work blends deep technical skills in ML, backend engineering, and fullstack development, with strong research credentials—evidenced by multiple international publications and recognition such as the Best Research Paper Award at CIPR 2024. He’s also a Google Summer of Code fellow, contributing to reproducible AI tools. Arya thrives at the intersection of scalable system design and real-world AI applications, especially in fast-paced, product-focused environments.
Areas of Expertise
NLP & Prompt Engineering
Build natural language processing systems, fine-tune large language models, and craft reliable production prompts for AI-powered products.
AI & Machine Learning Engineers
Design, train, and ship production ML models — from data pipelines to model inference at scale. Covers supervised learning, neural networks, LLM integration, and model optimisation.
MLOps & AI Infrastructure
Architect scalable ML infrastructure — CI/CD for ML, model versioning, experiment tracking, monitoring, and cloud deployment on AWS, GCP, or Azure.
