Summary
Arpit Sharma is a Machine Learning engineer and technical lead with 5 years of experience building production-grade AI systems, currently focused on LLM integration and scalable ML at Salesforce and Informatica. He holds an MS in Electrical and Computer Engineering with a specialization in machine learning from USC and has led teams to deliver LLM-based Natural Language to SQL models using techniques like LoRA, RLHF, chain-of-thought and model distillation. His hands-on work spans the full ML lifecycle—from PySpark and AutoML-driven Bayesian hyperparameter selection to RAG grounding, multi-LoRA deployments for cost reduction, and production pipelines on GCP/AWS. Earlier projects include schema matching that cut search time by 75%, custom NER for sensitive data discovery, and multimodal CV+NLP systems deployed via Flask on cloud infrastructure. Colleagues describe him as a clear communicator who translates complex algorithms into product impact and effective cross-team integrations. He combines research experience in signal processing and deep learning with pragmatic engineering to ship models that measurably improve customer-facing products.
5 years of coding experience
5 years of employment as a software developer
Master of Science - MS, Electrical and Computer Engineering, Master of Science - MS, Electrical and Computer Engineering at University of Southern California
Bachelor of Technology - BTech, Electronics and Telecommunication Engineering, Bachelor of Technology - BTech, Electronics and Telecommunication Engineering at Veermata Jijabai Technological Institute (VJTI)
English, Hindi, Marathi, Gujarati