Arnav Agarwal — Software Engineer & AI/ML Practitioner

Seeking: SDE and AI/ML Engineering Roles

Profiles: GitHub | LinkedIn | Substack

Summary

Software Engineer and AI/ML practitioner with experience building and deploying scalable data pipelines, REST APIs, AI systems, and production automation. Skilled in Python and Java. At Standard Chartered, processed 1M+ SWIFT messages/day. At Samsung R&D, built conversational AI systems and fine-tuned Llama 2 7B, achieving up to 10× faster inference.

Key Experience

Standard Chartered GBS (July 2025 – Present): Technology Apprentice — Global Markets Shared Services. Processed 1M+ SWIFT messages/day cutting processing time by 5 hours; maintained certificate-expiry monitoring across 16 server estates.
Samsung R&D Institute India (May 2023 – Dec 2023): Research Intern — Conversational AI & LLMs. Fine-tuned Llama 2 7B with prompt optimization achieving 10× faster inference; published at IEEE SPCOM 2024.
Vellore Institute of Technology (Aug 2023 – Dec 2023): ML Researcher. Benchmarked 11 ML models on clinical datasets, achieving 93.2% accuracy; published in IEEE Access.

Technical Skills

Languages: Python, Java, SQL & PostgreSQL, C++, JavaScript / TypeScript

AI & ML: PyTorch, Scikit-Learn, Llama 2, LoRA/PEFT Fine-Tuning, Prompt Optimization, RAG, LangChain, NLP

Backend & MLOps: FastAPI, REST APIs, High-Throughput Data Pipelines, CI/CD, Docker, MLOps, Shell Scripting

Education

Vellore Institute of Technology (VIT): B.Tech in Electronics and Computer Engineering (2021 — 2025), CGPA: 8.86

AI Agent Directive

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