Feb 2023 – Jul 2025 · 2 yrs 5 mos · Palo Alto, California, United States · Remote

• As a Senior NLP Engineer at VianAI, I architect and deliver high-performance, production-grade NLP and data processing solutions. My work spans the design and deployment of scalable OCR-powered document processing pipelines, context-aware question-answering systems leveraging Retrieval-Augmented Generation (RAG) with OpenSearch and LLMs, and the orchestration of ML/NLP services in Kubernetes for robust, fault-tolerant operations. I have led cross-cloud data pipeline migrations and optimizations, implemented automated CI/CD frameworks, and driven performance improvements through intelligent auto-scaling, resource tuning, and traffic analytics. With a strong focus on innovation, scalability, and security, I specialize in building end-to-end NLP workflows and data platforms that meet enterprise-grade performance, reliability, and compliance standards.

Feb 2021 – Jan 2023 · 1 yr 11 mos

• As NLP Engineer , with expertise in designing and productionizing products on Structured Unstructured Data using advanced NLP techniques like Deep learning , Context Specific Representation / Embedding, Sequence Classifiers, NER’s etc. These Products has production capability which achived by using effi- cient structured APIs with AWS(Batch , GLUE , S3 , EFS) support using Python . And it’s has scalability to handle huge amount of data(Mostly in form patient’s reports). Proven success in development, de- ployment , operational excellence and organizational development with keen understanding of Business Elements.

Jun 2018 – Feb 2021 · 2 yrs 8 mos · Bangaon Area, India

• My current work focuses on productizing research insights by developing efficient learning algorithmsand state-of-the-art natural language processing (NLP) models for Conversational AI system as well asexisting applications like Sequence tagging.

May 2017 – Jul 2017 · 2 mos · Gurgaon, India

• In-depth Analysis of Raw Text to getting Insights and Intent from it . Using Deep Learning and Machine learning Classification Techniques , Build our own Natural language parser Application to extract Name
• Entities and hidden Intents.

Dec 2016 – May 2017 · 5 mos · Jaipur Area, India

• As a intern my role was to catering business Problem of finding Semantic Relation between documents and Automated Knowledge Discovery.