Seeking AI/ML, Generative AI, and AI Engineering internship opportunities where I can build production-ready AI systems, LLM applications, agentic workflows, RAG pipelines, and automation. Particularly interested in open-source AI, LLM fine-tuning, multimodal AI, MCP, and AI-assisted development.

Garvit Audichya
@garvitaudichya
AI/ML Engineer building production-ready LLM, RAG, Agentic AI, and ML systems with Python, PySpark, and Databricks.
What I'm looking for
I’m an AI/ML Engineer specializing in Generative AI, Agentic AI, RAG, and machine learning, with hands-on industry experience at S&P Global and Debales AI. I’ve worked on enterprise LLM orchestration, semantic retrieval, multi-agent workflows, AI automation, and large-scale ML systems, including optimizing a Databricks Genie pipeline that improved routing efficiency from 5% to 70%, reduced latency by 49%, and cut LLM token consumption by 90%.
Beyond internships, I enjoy building AI products and experimenting with emerging technologies across LLMs, AI agents, ML engineering, and cloud platforms. I was selected for Amazon ML Summer School 2026 among 1.3 lakh applicants (Top 2%) and won Jury’s Pick at the AI Demos × AI for Content Creators Hackathon for building an AI content repurposing system. I’m looking for opportunities where I can combine strong engineering fundamentals with emerging AI technologies to build scalable, measurable solutions.
Experience
Work history, roles, and key accomplishments
Engineered an enterprise Multi-Agent LLM Orchestrator for Databricks Genie, improving routing efficiency from 5% to 70%. Optimized LLM inference pipeline, reducing latency by 49% and token consumption by 90%.
AI Developer Intern
Debales AI
Jan 2026 - Apr 2026 (3 months)
Engineered a FastAPI-backed, LangGraph multi-agent LLM pipeline for automated consumer email tagging. Built multi-tenant AI workflows and deployed n8n-based automation for HR and marketing use cases.
Education
Degrees, certifications, and relevant coursework
Vellore Institute of Technology
B.Tech, Computer Science & Engineering (AI & ML)
2023 -
Grade: 9.24 CGPA
Pursuing a B.Tech in Computer Science & Engineering with a specialization in AI & ML, maintaining a CGPA of 9.24.
Availability
Location
Authorized to work in
Website
garvit-portfolio.vercel.appSalary expectations
Social media
Job categories
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