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I'm Amit Kumar Gaur, an AI Engineer with nearly 3 years of experience building production ML, LLM, and data pipeline systems using Python, PyTorch, Hugging Face, LangChain, FastAPI, Docker, Kubernetes, AWS, and Azure. I specialize in developing scalable ML solutions and driving operational efficiency in real-world deployments. I have a strong track record in RAG pipelines, model serving, inference optimization, and ML workflow automation. I deliver robust systems that reduce latency and accelerate deployment, while collaborating with cross-functional teams to align ML capabilities with business needs.…I'm Amit Kumar Gaur, an AI Engineer with nearly 3 years of experience building production ML, LLM, and data pipeline systems using Python, PyTorch, Hugging Face, LangChain, FastAPI, Docker, Kubernetes, AWS, and Azure. I specialize in developing scalable ML solutions and driving operational efficiency in real-world deployments. I have a strong track record in RAG pipelines, model serving, inference optimization, and ML workflow automation. I deliver robust systems that reduce latency and accelerate deployment, while collaborating with cross-functional teams to align ML capabilities with business needs.

Amit Kumar Gaur

AI Engineer, Data Scientist, Full Stack Developer, +2

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I'm Amit Kumar Gaur, an AI Engineer with nearly 3 years of experience building production ML, LLM, and data pipeline systems using Python, PyTorch, Hugging Face, LangChain, FastAPI, Docker, Kubernetes, AWS, and Azure. I specialize in developing scalable ML solutions and driving operational efficiency in real-world deployments. I have a strong track record in RAG pipelines, model serving, inference optimization, and ML workflow automation. I deliver robust systems that reduce latency and accelerate deployment, while collaborating with cross-functional teams to align ML capabilities with business needs.…I'm Amit Kumar Gaur, an AI Engineer with nearly 3 years of experience building production ML, LLM, and data pipeline systems using Python, PyTorch, Hugging Face, LangChain, FastAPI, Docker, Kubernetes, AWS, and Azure. I specialize in developing scalable ML solutions and driving operational efficiency in real-world deployments. I have a strong track record in RAG pipelines, model serving, inference optimization, and ML workflow automation. I deliver robust systems that reduce latency and accelerate deployment, while collaborating with cross-functional teams to align ML capabilities with business needs.

Available to hire

I’m Amit Kumar Gaur, an AI Engineer with nearly 3 years of experience building production ML, LLM, and data pipeline systems using Python, PyTorch, Hugging Face, LangChain, FastAPI, Docker, Kubernetes, AWS, and Azure. I specialize in developing scalable ML solutions and driving operational efficiency in real-world deployments.
I have a strong track record in RAG pipelines, model serving, inference optimization, and ML workflow automation. I deliver robust systems that reduce latency and accelerate deployment, while collaborating with cross-functional teams to align ML capabilities with business needs.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Work Experience

AI Software Developer at Jio Platforms Limited

September 1, 2022 - July 1, 2024

Architected scalable ML data pipelines with Python, SQL, and Apache Kafka for real-time AI inference. Deployed ML inference REST APIs with FastAPI and Node.js microservices, cutting prediction latency by 35%. Designed event-driven AWS (Lambda, EC2, S3) and Azure Functions architectures for distributed model inference. Built CI/CD pipelines with Docker, Kubernetes, and GitHub Actions, cutting model deployment time by 40%. Engineered SQL-to-NoSQL migration frameworks with automated validation and zero-data-loss reconciliation across distributed systems. Integrated ML models into business-critical analytics dashboards used by executive stakeholders.

Software Developer Intern at Flipkart Private Limited

September 1, 2021 - August 1, 2022

Analyzed 10M+ user behavior records with Python, Pandas, and SQL to engineer recommendation features. Optimized backend Python services and database queries, reducing recommendation API latency by 28%. Built scalable RESTful APIs serving ML predictions to a high-traffic e-commerce platform. Performed clickstream log analysis and feature engineering that lifted personalization model precision. Implemented secure SSO and MFA pipelines, strengthening enterprise identity and access management. Translated business requirements into ML-driven solutions with product managers and data scientists.

Student Office Assistant at California State University Long Beach

February 1, 2025 - May 1, 2026

Developed automated data processing and reporting workflows with Python and SQL, improving operational efficiency by 20% and reducing manual errors. Analyzed system usage data to identify bottlenecks and authored technical documentation that streamlined team onboarding.