Sunil Ravilla

Sunil Ravilla

Generative AI Engineer @ Hewlett Packard Enterprise

About

From launching satellites at ISRO to deploying LLMs at HPE — I've spent my career building systems where failure isn't an option. Today I build production-grade Generative AI systems at Hewlett Packard Enterprise, working across RAG architectures, LLM fine-tuning, AI agents, and evaluation frameworks. My path: IIT Indore → NTU Singapore → ISRO → Georgia Tech → HPE What I bring to the table: → End-to-end ML/AI system design and production deployment → LLM evaluation, LLM-as-a-judge frameworks, and quality assurance for GenAI → RAG pipelines, fine-tuning, and prompt engineering at enterprise scale → AI on HPC infrastructure — where compute constraints force creative solutions → Cross-domain thinking from aerospace engineering to enterprise AI I write about practical GenAI lessons here on LinkedIn — what actually works in production, not what looks good in a demo. 📩 Open to: Speaking, consulting, and collaboration on AI projects

Country

United States

City

Sunnyvale

Industry

Computer Software

Skill

Stable Diffusion, Automatic Speech Recognition, Trustworthy AI, LLMS, Retrieval-Augmented Generation (RAG), Multimodal, LLMs, Agentic AI, Advanced RAG, Pachyderm, Determined.ai, Kserve, XGBoost, Random Forest, Containerization, Speech Recognition, Text-to-Speech Synthesis, Chatbot Development, NeMo, Riva

Experience

Hewlett Packard Enterprise

Generative AI Engineer

Hewlett Packard Enterprise

LinkedIn
2024-1 - Present · 2 yrs 9 mos

Houston, Texas, United States

Cox Communications

Data Science Consultant

Cox Communications

LinkedIn
2023-8 - 2023-12 · 5 mos

Atlanta, Georgia, United States

• Leveraged data from millions of active Cox Communications devices to promptly identify firmware-related issues within one hour of updates, conducting thorough analysis and visualization for actionable insights • Developed Random Forest and XGBoost models to swiftly identify firmware and power-related failures within a specific CPE device family, achieving a 68 % AUC. Employed Tableau to visualize the model’s predictive performance trends for better insights

Hewlett Packard Enterprise

Data Science Intern

Hewlett Packard Enterprise

LinkedIn
2023-5 - 2023-8 · 4 mos

Houston, Texas, United States

• Pioneered data collection pipeline for HPE High-Performance Computing (HPC) clusters maintenance history, enabling granular data analysis and valuable insights.

Georgia Institute of Technology

Graduate Teaching Assistant

Georgia Institute of Technology

LinkedIn
2023-1 - 2023-5 · 5 mos

Atlanta, Georgia, United States

ISRO - Indian Space Research Organization

Scientist Engineer 'SD'

ISRO - Indian Space Research Organization

LinkedIn
2022-7 - 2022-8 · 2 mos

Thiruvananthapuram, Kerala, India

ISRO - Indian Space Research Organization

Scientist Engineer 'SC'

ISRO - Indian Space Research Organization

LinkedIn
2018-7 - 2022-6 · 4 yrs

• Data analysis software: Automated critical test data analysis procedures by developing a python driven application resulting in reduction of time required for analysis, from over 36 hrs. to 30 min (70x faster) • Data visualisation tool: Built a dashboard for real time data analysis and visualisation of results from ground-level flow tests to aid in early detection of anomalous behavior in flight subsystems • Product Development: Analysed 25+ features such as Pressure, Temperature, etc., from ground-level tests to recommend design and development upgrades for an indigenously developed Cryogenic Upper Stage Engine • Failure Analysis: Executed a comprehensive Root Cause Analysis to determine causes of anomalies in GSLV F10 Launch Vehicle; Saved $1.2M by performing extensive exploratory data analysis to understand trigger points • Medical Ventilators: Designed cost-effective blower-based ventilator, reducing cost by 85% with locally sourced components. Assisted in knowledge transfer of designs to over 15 public sector and government organizations

Nanyang Technological University Singapore

Research Intern

Nanyang Technological University Singapore

LinkedIn
2017-8 - 2017-11 · 4 mos

Developed a mathematical model to estimate with 92% accuracy the drug delivery rate from Polyampholyte-based Hydrogels. Performed sensitivity analysis and carried out parameter optimisation using metaheuristic algorithms

Education

Georgia Institute of Technology

Georgia Institute of Technology

LinkedIn

Analytics

2022-8 - 2023-12 · 1 yr 5 mos

Coursework: Deep Learning, Natural Language Processing, Data and Visual Analytics, Machine learning, Regression analysis, Analytical modelling and Computing for data analysis, Data Analytics Business

Indian Institute of Technology, Indore

Indian Institute of Technology, Indore

LinkedIn
2014 - 2018 · 4 yrs

Key Coursework: Calculus, Linear algebra, Ordinary differential equations, Numerical methods, Computer programming

Sunil Ravilla's Contact Information

Email

******@***.com

Phone

(**) *** ****

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