Sravani Kaviti — Operations Associate
Machine learning engineer who enjoys the full journey from raw data to deployed systems. Currently working at Fahrzeugsystemdaten GmbH while pursuing my Master's in Visual Computing at TU Dresden. My day-to-day sits at the intersection of computer vision, machine learning, and increasingly, large language models; figuring out how to make these systems actually useful in the real world. What gets me excited? The messy, practical side of ML. At Infineon, I went from cleaning 80K-row datasets and training XGBoost models to building LLM-powered applications and AI agents with CrewAI. That range, from classical ML to generative AI, is exactly where I want to be. My recent research work on tactile data augmentation was exciting: training diffusion models to generate synthetic touch sensor data, cutting manual data collection. There's something satisfying about teaching a model to imagine what touch should look like. Background in electronics engineering from India, now based in Dresden. I've shipped production ML systems, automated workflows that nobody wanted to do manually, and built end-to-end applications that people actually use. Always interested in conversations about computer vision, generative models, or making ML systems work outside the lab.
Stackforce AI infers this person is a Machine Learning Engineer with expertise in SaaS and AI applications.
Location: Dresden, Saxony, Germany
Experience: 3 yrs 9 mos
Skills
- Software Development Life Cycle (sdlc)
- Large Language Models (llm)
- Machine Learning
Career Highlights
- Expert in machine learning and computer vision.
- Developed LLM-powered applications and AI agents.
- Experience in end-to-end ML system deployment.
Work Experience
FSD Fahrzeugsystemdaten GmbH
Working Student - Automated Driving Evaluation (4 mos)
Infineon Technologies
Developer – Innovation Team (11 mos)
Data Analyst (11 mos)
Cognizant
Programmer Analyst (1 yr 1 mo)
Programmer Analyst Trainee (11 mos)
NPHSAT SYSTEMS PVT LTD
Student Intern (1 mo)
Education
Master of Science - MS at Technische Universität Dresden
Bachelor of Technology - BTech at V R Siddhartha engineering college