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gowthame2801 UserGU
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gowthame2801 User

@gowthame2801user

Experienced AI/ML engineer specializing in generative AI, RAG systems, and data-driven business solutions.

India
Message

What I'm looking for

I seek roles building production-grade generative AI and RAG systems where I can apply prompt engineering, scalable cloud infrastructure, and data-driven business impact.

I am an AI/ML engineer and data analyst with 1+ years of industry experience building generative AI, RAG applications, and AI agent chatbots for internal projects and clients.

I design and implement production-ready AI solutions using LLMs, vector databases, AWS cloud services (including Bedrock, Lambda, S3), Databricks, and prompt engineering to improve operational efficiency and conversational performance.

My project work includes a LinkedIn content generation chatbot (Claude Sonnet 4, AWS S3, Streamlit), a document intelligence and summarization system (FastAPI, Ollama models), and published research on deep learning for cyber-attack detection.

I combine technical strengths in Python, SQL, machine learning, and data visualization with business-oriented analysis and stakeholder-facing deliverables, and I value clear communication, practical impact, and scalable system design.

Experience

Work history, roles, and key accomplishments

ZE

AI/ML Engineer

ZEB

Oct 2024 - Aug 2025 (10 months)

Architected and implemented enterprise-grade AI solutions including AI agent chatbots, RAG applications, and multimodal systems on AWS and Databricks, improving operational efficiency through advanced prompt engineering and vector DB integrations.

NI

Data Analyst Intern

Nexus Info

Mar 2024 - Apr 2024 (1 month)

Performed EDA and built Power BI dashboards for client projects, contributed to data-driven insights and explored NLP concepts to support business analytics needs.

Education

Degrees, certifications, and relevant coursework

Sona College of Technology logoST

Sona College of Technology

Master of Computer Applications, Computer Applications

Grade: 8.96 CGPA

Master of Computer Applications completed with a CGPA of 8.96 in May 2024.

AS

AVS College of Arts and Science

Bachelor of Science, Computer Science

Grade: 82.7%

Bachelor of Science in Computer Science completed with 82.7% in June 2022.

Tech stack

Software and tools used professionally

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gowthame2801 User - AI/ML Engineer - ZEB | Himalayas