name: Jayesh Manani
location: Stuttgart, Germany 🇩🇪 (originally from India 🇮🇳)
education:
degree: M.Sc. Computer Science - Autonomous Systems ✅
school: University of Stuttgart
current_status: Open to new opportunities 👋
background:
- Ex Working Student @ Mercedes-Benz AG
- 42 Heilbronn student (peer-to-peer, project-based coding school)
focus_areas:
- Autonomous AI Agents (LLMs · pydantic-ai · Vertex AI / Gemini)
- Cybersecurity Engineering (SIEM · SOC · Threat Intelligence)
- Systems Programming in C/C++ (@ 42 Heilbronn)
- Data Engineering & ETL Pipelines
superpower: >
Turning complex security & data challenges into production-ready AI systems
that actually reduce human workload.
certifications:
- Microsoft SC-200: Security Operations Analyst ✅
- Generative AI with LLMs (DeepLearning.AI) ✅
- Oracle Cloud Infrastructure Generative AI Professional ✅
- AWS Machine Learning · Google Cloud Engineering · IBM Data Science ✅
open_to: Research · Open Source · AI · Cyber Security · Impactful engineering rolesAn autonomous AI assistant that analyses, prioritises, and investigates security alerts — the kind of work that burns out SOC analysts. It enriches events in real-time with VirusTotal and AbuseIPDB threat context, scores risk automatically, and supports natural-language conversational queries so analysts can ask questions instead of digging through dashboards.
Built with Gemini / Vertex AI via pydantic-ai, served over FastAPI, and evaluated with Langfuse for production-grade observability.
Gemini / Vertex AI · pydantic-ai · FastAPI · VirusTotal API · AbuseIPDB · Langfuse · Python
Experimenting with LLM-powered automation, building on top of my NLP background (sentiment analysis, multi-label classification, clustering). Exploring how Gen AI can be plugged into existing data workflows to reduce manual intervention.
Generative AI · LLMs · Python · Scikit-learn · NLTK · Transformers
Building autonomous agents that tackle real SOC workload - alert triage, threat enrichment, risk scoring. Combining my SC-200 security background with LLM agentic frameworks to ship tools that actually reduce analyst fatigue in production environments.
Generative AI · LLMs · Python · SC-200 · TryHackMe · Log Analysis
Deep-diving into low-level C from scratch - no libraries, no shortcuts. Peer-reviewing code every day, shipping projects like custom shells, custom shells, libft, ft_printf, push_swap, GetNextLine, maze generators, peer-reviewed. The hardest and most rewarding programming environment I've been in.
C · Python · C++ · Unix/Linux · Makefile · Algorithms & Data Structures
| # | Project | What It Does | Stack |
|---|---|---|---|
| 🛡️ | Autonomous SIEM AI Agent ⭐ | AI agent for SOC L1 triage - alert enrichment, risk scoring, conversational queries | Gemini · pydantic-ai · FastAPI · Langfuse |
| 🐦 | Twitter Sentiment Analyzer | Fetch tweets by keyword → NLP classifier → positive / negative / neutral tagging | Python · NLTK · Twitter API |
| 🌐 | Web Scraping + TF-IDF Deduplication | Scrapes event listings across platforms, deduplicates using TF-IDF cosine similarity | Scrapy · BeautifulSoup · Gensim |
| 🌦️ | Weather Decision Tree Classifier | Predicts humidity levels from 3 years of San Diego weather data | Scikit-learn · Pandas · Jupyter |
| 🎬 | Movie Review NLP Classifier | Naive Bayes sentiment model on 2000 NLTK reviews — ~70% accuracy | Python · NLTK |
| 📊 | Data Visualization Playground | Interactive charts & data storytelling | Matplotlib · Seaborn · Plotly |
| 🕷️ | Scrapy Web Crawler | Production-style spider → structured CSV output | Scrapy · Python |
| 🧠 | ML Algorithm Collection | Clean implementations of core ML algorithms | Python · Scikit-learn |
👋 Currently open to new roles in GenAI, AI, Cybersecurity, Autonomous Systems, or impactful software engineering.
2025 ─ Student @ 42 Heilbronn (🇩🇪) ─▶ Present
└─ Peer-to-peer · No lectures · Project-based · Learning by shipping
Apr 2023 ─ Working Student / Master Thesis Student @ Mercedes-Benz AG (🇩🇪) ─▶ Mar 2025 ─▶ Completed ✅
└─ GenAI · RAG · AI/ML · Data ETL · Databricks · Llama3.1
└─ Python · Cloud CI/CD · Data Pipelines · MS Azure
└─ Real production environment at a global automotive engineering company
└─ Stuttgart, Germany 🇩🇪
May 2024 ── HiWi (Research Assistant) @ University of Stuttgart (🇩🇪) ─▶ Dec 2024
└─ Academic research support · University of Stuttgart
Apr 2022 ─ M.Sc. Computer Science @ University of Stuttgart (🇩🇪) ─▶ Mar 2025 ─▶ Completed ✅
└─ Autonomous Systems (Major)
Oct 2020 ─ Software Developer @ Sameeksha Capital (FinTech) (🇮🇳) ─▶ Mar 2022
└─ Built in-house trade processing platform from scratch
└─ GCP infrastructure · Workflow automation · Data pipelines
Jul 2019 ─ Research Associate @ IIM Ahmedabad (🇮🇳) ─▶ Oct 2020
└─ Research tooling for Prof. Samrat Gupta & Prof. Sanket Mohapatra
└─ Social network analysis · Community detection · Django/Flask · Research tooling
Jan 2019 ─ AI/ML Engineer @ Allevents.in (🇮🇳) ─▶ Jul 2019
└─ Duplicate listing detection · User clustering by interest
└─ Multi-label hierarchical text classification
└─ Future event prediction for Marketing
| Certification | Issuer | |
|---|---|---|
| 🛡️ | Security Operations Analyst — SC-200 | Microsoft |
| 🤖 | Generative AI with Large Language Models | DeepLearning.AI |
| ☁️ | Oracle Cloud Infrastructure Generative AI Professional | Oracle |
| 🌩️ | AWS Machine Learning Specialty | Amazon |
| 🌐 | Google Cloud Professional Data Engineer | |
| 📊 | IBM Data Science Professional Certificate | IBM / Coursera |
| 🔐 | Ethical Hacking Nanodegree | Udacity |
I write guides on Python, ML, and data engineering - from beginner to production:
- 💡 Data Driven Investor - data, AI, and tech perspectives
Got a data problem worth solving, or working on something interesting in AI/ML, Security or Autonomous Systems?
I'm always up for a good conversation.
"4 years in a stable job in India 🇮🇳, then I moved to Germany to push myself further. Keep learning....."