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:
  - AI & Data Engineer @ Mercedes-Benz AG (2 yrs · Production AI & Pipelines)
  - 42 Heilbronn student (peer-to-peer, project-based coding school)

focus_areas:
  - Autonomous AI Agents & LLM Systems (pydantic-ai · Vertex AI / Gemini · RAG)
  - Cloud Engineering & Production MLOps (AWS · Azure · GCP · Databricks · Docker)
  - Cybersecurity Engineering & SecOps (SIEM · SOC Triage · SC-200 · Threat Intel)
  - Low-Level Systems & Concurrency in C/C++ (@ 42 Heilbronn)

superpower: >
  Turning complex AI, security, and cloud data challenges into production-ready
  autonomous systems that reduce human fatigue and scale reliably.

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:
  - AI Engineer / LLM Engineer
  - Cloud / MLOps / Platform Engineer
  - Cybersecurity / SecOps Engineer
  - Autonomous Systems Engineer

An interactive, LLM-grounded AI Career Representative that allows recruiters, engineering managers, and collaborators to interview an AI twin trained on my verified background. It answers deep-dive technical questions, explores past experience (Mercedes-Benz, 42 Heilbronn, M.Sc. Autonomous Systems), highlights core engineering strengths and growth areas, and serves candidate data with zero hallucination.

Designed with a sleek, responsive dark UI, pre-built interview prompts (technical achievements, strengths, role fit), and instant PDF resume access.

An 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.

Building interactive agentic applications and automation tools — including my deployed AI Career Representative (Repo), an LLM-grounded candidate screening agent. Exploring how Gen AI and RAG architectures can be integrated into production workflows to eliminate repetitive manual queries.

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

Engineering reproducible ML pipelines and scalable serving infrastructure — combining MLflow experiment tracking, DVC data versioning, container orchestration, and multi-cloud environments (Azure, GCP, AWS). Bridging the gap between experimental AI prototypes and resilient, enterprise-grade production systems.

MLOps · MLflow · DVC · Docker · Azure · Databricks · CI/CD · FastAPI

Deep-diving into low-level C from scratch - no extra libraries, only in-built libraries, no shortcuts. Peer-reviewing code every day, shipping projects like custom shells, libft, ft_printf, push_swap, GetNextLine, maze generators, Codexion (Classis dining philosopher problem), RAG, CallMeMaybe (Constrained Generation), all peer-reviewed. The hardest and most rewarding programming environment I've been in.

C · Python · C++ · Unix/Linux · Makefile · Algorithms & Data Structures

👋 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

I write guides on Python, ML, and data engineering - from beginner to production:

• 💡 Data Driven Investor - data, AI, and tech perspectives

"4 years in a stable job in India 🇮🇳, then I moved to Germany to push myself further. Keep learning....."