Parth Pandit
@parthpandit
Master’s CS student focused on AI workflow automation, backend development, and reliable LLM-powered pipelines.
What I'm looking for
I’m a Master’s student in Computer Science at RPTU Kaiserslautern (Software Engineering / Intelligent Systems), focused on backend development, AI process automation, and process digitalization. I build end-to-end automation workflows that are secure, self-hosted, and resilient in real-world usage.
In my Software Engineer Intern role at AVEGEN, I supported product releases by fixing production issues, validating deployment readiness, and coordinating with developers, QA, product owners, and customers. I also developed automation and testing scripts in Bash to compare Elasticsearch and PostgreSQL behavior, and built DevOps automation (Bash and Ruby on Rails) to set up development environments with Docker and optional AWS S3 restores.
Across projects, I designed 5+ AI-driven automation workflows using n8n and Make.com, including Telegram Bot API integration with DeepSeek LLM for context-aware task routing. I fine-tuned a T5-based translation model using LoRA (Hugging Face, PyTorch, GPU) and improved performance (BLEU ~46 → ~61, CHRF ~62 → ~70). I’m now seeking a Werkstudent role in AI automation and workflow development, especially applying AI agents and LLM-based pipelines to digital media and journalism contexts.
Experience
Work history, roles, and key accomplishments
Software Engineer Intern
AVEGEN
Sep 2025 - Dec 2025 (3 months)
Supported product releases by fixing production issues, testing UAT defects, validating deployment readiness, and coordinating with developers, QA, product owners, and customers. Developed automation and testing scripts (Bash) comparing Elasticsearch and PostgreSQL search behavior and generating reports.
LLM Fine-Tuning for Language Translation
RPTU Kaiserslautern
Oct 2024 - Mar 2025 (5 months)
Fine-tuned a T5-based LLM using LoRA on GPU in Google Colab and built an end-to-end ML pipeline with Hugging Face and PyTorch. Improved translation quality from BLEU ~46 to ~61 and CHRF ~62 to ~70 via dataset expansion and prompt engineering.
Education
Degrees, certifications, and relevant coursework
RPTU Kaiserslautern
Master of Science in Computer Science, Computer Science (Software Engineering & Intelligent Systems)
2023 -
Master's student in Computer Science (Software Engineering & Intelligent Systems) at RPTU Kaiserslautern since 10/2023. Has practical experience in backend development, AI automation, and process digitalization.
Fergusson College
Bachelor of Science in Computer Science, Computer Science
2020 - 2023
Grade: Cumulative GPA: 1.2 / 5
Completed a B.Sc. in Computer Science at Fergusson College from 09/2020 to 05/2023. Cumulative GPA: 1.2/5.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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