
Keerti Prem Gadde
Fähigkeiten und Kenntnisse
Werdegang
Berufserfahrung von Keerti Prem Gadde
Project: Computer Vision for Power Plant Monitoring • Develop AI workflows for digital gauge recognition and reading interpretation from images. • Implement VLM-based solutions to classify and interpret digital gauge displays. • Develop AI orchestration for gauge detection, task routing, and multi-step interpretation. • Implement confidence-aware workflows to identify ambiguous or uncertain gauge readings. • Evaluate AI approaches for accuracy, latency, and cost using real-world equipment imagery.
- 9 Monate, Sep. 2024 - Mai 2025
Machine Learning Engineer – Master’s Thesis (AI/NLP)
RPTU Kaiserslautern-Landau
Topic: Enhancing Software Requirements Specification (SRS) Completeness using Large Language Models Recommendations • Designed datasets modeling structural and content incompleteness in SRS documents. • Fine-tuned long-sequence LLMs to generate missing IEEE 29148:2018 sections. • Implemented custom structural tokens for hierarchical consistency and traceability. • Compared LoRA and full fine-tuning to analyze coverage and efficiency trade-offs. • Built an end-to-end evaluation pipeline using BLEU, ROUGE, B
- 10 Monate, Mai 2023 - Feb. 2024
Machine Learning Engineer (Working Student)
Deutsches Forschungszentrum für Künstliche Intelligenz (DFKI)
Project: HumanTech_AV – Augmented Vision for Construction Environments • Applied augmented-vision techniques in a European research project for construction safety. • Supported the development of annotation standards for RGB-D computer vision datasets. • Annotated RGB-D panoramic images using instance segmentation at scale. • Evaluated annotation quality to ensure dataset consistency and reliability. • Developed scripts to organize datasets and improve annotation workflows. Tools & Technologies: Python, C
- 6 Monate, Nov. 2021 - Apr. 2022
Machine Learning Engineer (Working Student)
Deutsches Forschungszentrum für Künstliche Intelligenz (DFKI)
Project: STAR_PALU – Embedded Intelligence for Industry 4.0 • Worked on an Industry 4.0 research project focused on human–robot collaboration. • Cleaned, synchronized, and analyzed IMU sensor data with human activity videos. • Built Machine Learning ready data pipelines for multimodal activity recognition datasets. • Prepared and validated 60+ datasets to ensure training readiness and consistency. • Ensured data privacy through anonymized data handling and validation workflows. Tools & Technologies: Pytho
Project: EMC Customer Service • Supported global Salesforce CRM operations for enterprise customer service platforms. • Monitored Salesforce systems and analyzed SFDC debug logs for integration issues. • Assisted in CRM data migration and service request process transitions. • Conducted data quality audits and supported data governance initiatives. • Built reports and dashboards to track customer service performance metrics. • Collaborated with developers on scope assessment and enhancement implementation.
- 2 Jahre und 3 Monate, Nov. 2015 - Jan. 2018
Data Analyst
Tech Mahindra
Project: GE Healthcare • Supported Salesforce CRM applications for GE Healthcare service platforms. • Implemented and optimized CRM features based on technical specifications. • Developed, tested, and maintained application components under quality standards. • Performed data cleanup, deduplication, and import/export operations. • Tracked incidents, supported issue resolution, and escalated complex cases. • Conducted code reviews and maintained defect logs and test scripts. • Provided production support an
- 1 Jahr und 1 Monat, Apr. 2014 - Apr. 2015
Student Partner
Microsoft
• Participated in Microsoft summits and technical meetups on emerging technologies. • Organized and delivered workshops on Microsoft platforms for students. • Designed presentations to teach and explain new Microsoft technologies.
Sprachen
Englisch
C1 (Fließend)
Deutsch
B1-B2 (Gute Kenntnisse)
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