Open to opportunities

Arvind Nandigam

@arvindnandigam

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AI Engineer building scalable LLM-powered agents and developer tools with backend engineering and cloud reliability.

India

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What I'm looking for

I’m looking for a role where I can build scalable LLM and agentic systems—pairing backend APIs with cloud reliability—to deliver practical developer tools and intelligent applications with measurable impact.

I’m an AI Engineer who solves real-world engineering problems by combining LLMs, backend engineering, and cloud technologies to build intelligent, agentic applications. I enjoy creating systems that are scalable, reliable, and designed for practical impact.

As a Data Engineering Intern at Ford Motor Company, I built a GCP observability platform with FastAPI and React, automated pipeline monitoring and reconciliation with background workers, and added a data contract validation framework for streaming Dataflow pipelines on 1,000+ production messages. I also created a Gemini-powered rule recommendation system with human-in-the-loop approvals; and as an ML Intern at Flex Ltd., I built an end-to-end NLP email classification pipeline, fine-tuned BERT, and applied knowledge distillation to cut model size by ~50% while preserving performance.

Experience

Work history, roles, and key accomplishments

Data Engineering Intern

Ford Motor Company

May 2026 - Jul 2026 (2 months)

Engineered a GCP observability platform using FastAPI and React to centralize monitoring of Dataflow and Dataproc pipelines and support operational visibility and cost optimization. Built an automated monitoring and reconciliation service, a streaming data contract validation framework, and a Gemini-powered rule recommendation system with human-in-the-loop approvals.

GCP fastAPI React Google Cloud Dataflow Google Cloud Dataproc Asynchronous Background Workers Data Pipelines Data Validation Single Message Transform Gemini Human In The Loop

ML Intern

Flex Ltd.

May 2025 - Jul 2025 (2 months)

Developed an end-to-end NLP pipeline for enterprise email multi-class classification using Python, Hugging Face Transformers, and scikit-learn. Fine-tuned BERT models and applied knowledge distillation to reduce model size by ~50% while preserving classification performance.

Python NLP Hugging Face Transformers scikit learn BERT Knowledge Distillation Model Fine Tuning

Education

Degrees, certifications, and relevant coursework

VIT Chennai

B.Tech, Computer Science (AI & ML)

2023 - 2027

Grade: 8.85 / 10

Activities and societies: IEEE Computer Society (VIT Chennai) — Marketing Team; coordinated technical events/outreach (70–100 participants). Artificial Intelligence Club — Technical Team & Student Coordinator; organized AI workshops and supported events (100+ participants).

B.Tech in Computer Science (AI & ML) at VIT Chennai, covering coursework in AI/ML and related technologies. Maintained a GPA of 8.85/10.