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Saikrishnan User

@saikrishnanuser

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I build production AI products, RAG systems, and full-stack applications that reduce manual work.

United States

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What I'm looking for

I'm looking to build production AI and full-stack products where I can own systems end-to-end, improve measurable customer outcomes, and use AI-enabled engineering practices to raise delivery speed and code quality.

At Precision Planting, I build production AI products end-to-end, including an AWS Bedrock RAG chatbot that automated quote generation, cut manual processing by 60%, and improved response speed by 45%.

Previously at IBM, I built an NLP GitHub bot that reduced pull-request review time from three hours to five seconds, as well as a Node.js dashboard that cut manual reporting by 50%. I also build with TypeScript, React, Node.js, Python, AWS, relational and vector databases, and CI/CD.

Experience

Work history, roles, and key accomplishments

Current

AI Software Engineer

Current

Precision Planting

Oct 2023 - Present (2 years 11 months)

Owned full-stack development end-to-end, shipping a production RAG chatbot on AWS Bedrock that automated quote generation, cutting manual processing by 60% and improving response speed by 45%. Designed scalable architectures integrating AWS, Salesforce, Databricks, and Slack, and shipped an LLM-powered chatbot for natural-language querying of product-assessment videos.

TypeScript React NodeJS AWS AWS Lambda AWS ECS S3 Salesforce Databricks Slack REST APIs Claude Code Cursor Copilot Prompt Engineering Model Evaluation Code Review CI CD

Machine Learning Intern

E-Green LLC

May 2022 - Dec 2022 (7 months)

Built and trained machine learning models in Python for computer-vision tasks, including hand gesture recognition on Raspberry Pi and high-fidelity image generation. Validated generated image outputs against reference product samples to measure fidelity and guide iterative model tuning.

Python Machine Learning Computer Vision Raspberry Pi Model Evaluation

Software Developer

IBM

Jan 2020 - Aug 2021 (1 year 7 months)

Engineered a GitHub bot using NLP and named entity recognition to automate pull-request review, reducing review time from 3 hours to 5 seconds. Built an internal Node.js/EJS dashboard that consumed backend APIs to surface real-time order data, cutting manual reporting time by 50%.

NLP Named Entity Recognition GitHub NodeJS EJS REST APIs

NLP Intern

Dell Inc.

Jul 2019 - Dec 2019 (5 months)

Built an NLP-based application in Python that analyzed support tickets, extracted key issues, and recommended relevant solutions, reducing average resolution time by 40%.

Python NLP Embeddings Topic modeling Intent Detection