
Sandeep Kumar Amgothu
@sandeepkumaramgothu
I build cloud data platforms and AI safety systems that improve performance, accuracy, and operational efficiency.
What I'm looking for
I've built enterprise AWS data pipelines for Xerox processing 15M+ records monthly, improving latency by 40% while maintaining 99.9% availability for 500+ users.
At Texas A&M University–Corpus Christi, I developed automated LLM red-teaming systems that ran 3,000+ adversarial evaluations and reduced vulnerabilities by 20–50 percentage points. I also built RAG systems with sub-200ms semantic search and deep learning models that achieved 97.2% F1-score for UAV audio detection research published at ICUAS 2025.
Most recently, I've automated data quality, anomaly detection, Power BI reporting, and NLP triage workflows for Data Pioneer, reducing manual work and accelerating reporting for leadership stakeholders.
Experience
Work history, roles, and key accomplishments
Data Analytics & AI Volunteer Engineer
Data Pioneer
Aug 2025 - Apr 2026 (8 months)
Engineered automated data-quality and anomaly-detection pipelines, improving reporting accuracy by 32% and reducing manual triage. Architected Power BI semantic models and automated dashboards, cutting reporting cycle time by 45%.
Graduate Research Assistant — AI/ML Research Engineer
Jan 2024 - May 2025 (1 year 4 months)
Spearheaded an automation-first LLM red-teaming framework executing 3,000+ adversarial interactions, reducing attack vulnerability by 20–50%. Built production-grade RAG systems and architected distributed preprocessing pipelines for 50,000+ acoustic signals.
Architected enterprise AWS ETL/ELT pipelines processing 15M+ records monthly, improving latency by 40% with 99.9% availability. Developed Python and SQL feature engineering pipelines and delivered executive Power BI dashboards.
Education
Degrees, certifications, and relevant coursework
Texas A&M University–Corpus Christi
Master of Science, Computer Science
2023 - 2025
Grade: 3.93/4.0
Activities and societies: Leadership Scholarship Recipient
Pursued a Master of Science in Computer Science with a GPA of 3.93/4.0, focusing on machine learning, deep learning, distributed systems, and cloud computing.
Vasavi College of Engineering
Bachelor of Engineering, Information Technology
2017 - 2021
Grade: 3.64/4.0
Earned a Bachelor of Engineering in Information Technology with a GPA of 3.64/4.0.
Availability
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