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I am Nishant Chauhan, an AI/ML engineer with over 5 years of experience building, deploying, and optimizing intelligent systems at scale. I specialize in NLP, GenAI, and LLM-based architectures, leveraging LangChain, Hugging Face, and OpenAI APIs to deliver end-to-end AI solutions. I thrive in cross-functional teams, focusing on performance, governance, and secure deployments in cloud environments like Azure and AWS. I enjoy translating complex problems into scalable, production-ready AI products and collaborating with stakeholders to drive adoption and impact.…I am Nishant Chauhan, an AI/ML engineer with over 5 years of experience building, deploying, and optimizing intelligent systems at scale. I specialize in NLP, GenAI, and LLM-based architectures, leveraging LangChain, Hugging Face, and OpenAI APIs to deliver end-to-end AI solutions. I thrive in cross-functional teams, focusing on performance, governance, and secure deployments in cloud environments like Azure and AWS. I enjoy translating complex problems into scalable, production-ready AI products and collaborating with stakeholders to drive adoption and impact.

Nishant Chauhan

AI Engineer, Data Analyst, Data Scientist, +2

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I am Nishant Chauhan, an AI/ML engineer with over 5 years of experience building, deploying, and optimizing intelligent systems at scale. I specialize in NLP, GenAI, and LLM-based architectures, leveraging LangChain, Hugging Face, and OpenAI APIs to deliver end-to-end AI solutions. I thrive in cross-functional teams, focusing on performance, governance, and secure deployments in cloud environments like Azure and AWS. I enjoy translating complex problems into scalable, production-ready AI products and collaborating with stakeholders to drive adoption and impact.…I am Nishant Chauhan, an AI/ML engineer with over 5 years of experience building, deploying, and optimizing intelligent systems at scale. I specialize in NLP, GenAI, and LLM-based architectures, leveraging LangChain, Hugging Face, and OpenAI APIs to deliver end-to-end AI solutions. I thrive in cross-functional teams, focusing on performance, governance, and secure deployments in cloud environments like Azure and AWS. I enjoy translating complex problems into scalable, production-ready AI products and collaborating with stakeholders to drive adoption and impact.

Available to hire

I am Nishant Chauhan, an AI/ML engineer with over 5 years of experience building, deploying, and optimizing intelligent systems at scale. I specialize in NLP, GenAI, and LLM-based architectures, leveraging LangChain, Hugging Face, and OpenAI APIs to deliver end-to-end AI solutions.

I thrive in cross-functional teams, focusing on performance, governance, and secure deployments in cloud environments like Azure and AWS. I enjoy translating complex problems into scalable, production-ready AI products and collaborating with stakeholders to drive adoption and impact.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Fluent

Work Experience

Senior AI/ML Engineer at GammaEdge Technologies

March 1, 2022 - Present

Led design and deployment of scalable backend AI services for real-time conversational AI using FastAPI, PyTorch, and containerized deployment on AWS with Kubernetes. Implemented GPT-style LLM integration with custom context management and response tuning, achieving low-latency inference and scalable throughput. Optimized NLP workflows for production readiness, reducing API latency and memory footprint. Collaborated with product and engineering teams to integrate GenAI capabilities into user engagement tools, improving adoption metrics.

Associate AI/ML Engineer at Thoughtwin

July 1, 2020 - February 1, 2022

Developed Python-based pipelines for resume parsing and job matching using rule-based NLP; Enabled scalable deployments via AWS and Docker with CI/CD using GitHub Actions; Streamlined ingestion and normalization of candidate profiles for ML model training and inference; Enhanced infrastructure stability and automation through QA-driven iterative testing.