Lead AI/ML Engineer & Data Scientist with M.Sc. in Data Science and 4+ years of experience architecting production-grade Generative AI systems and scalable RAG pipelines. Expert in Python/FastAPI backend development and system evaluation. Proven track record of driving operational efficiency, including a 40% reduction in administrative workload through custom automation and a 65% improvement in bug resolution time using AI-driven root-cause analysis.
| Achievement | Impact |
|---|---|
| 🤖 Administrative Automation | 40% reduction in workload |
| 🔍 AI-Driven Root Cause Analysis | 65% improvement in bug resolution |
| ✅ Test Coverage | 95% on mission-critical modules |
| 🔐 Data Privacy Enhancement | 80% improvement via synthetic data |
Head of Engineering / SaaS Lead at Wamocon GmbH (Aug 2024 – Present)
- 🏗️ Architected and deployed production-grade agentic AI solutions and RAG pipelines, collaborating with cross-functional teams to ensure a 40% reduction in administrative workload
- 🎨 Architected responsive UI frameworks to ensure seamless cross-device compatibility and UX consistency
- ✅ Standardized model validation and automated testing workflows for production-grade AI deployment
- 🎯 Facilitated project roadmaps and delivered high-impact technical presentations to executive stakeholders
🤖 GenAI & LLMs
🧠 ML & Data Science
💻 Languages & Databases
🎨 Frontend & Web
⚙️ DevOps & Automation
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timeline
title Professional Journey
Aug 2024 - Present : Head of Engineering / SaaS Lead @ Wamocon GmbH
: Production-grade agentic AI & RAG pipelines
: 40% reduction in administrative workload
Mar 2025 - Jul 2025 : Master's Thesis Researcher – AI Testing @ Wamocon GmbH
: AI-enhanced Playwright automation
: 65% bug resolution improvement · 90% diagnostic accuracy
Jul 2024 - Sep 2024 : Data Scientist – Research Assistant @ FZI Research Center (KIT)
: Latent Diffusion Model for autonomous vehicles
: 80% increase in data privacy
Jul 2020 - Mar 2022 : Business Data Analyst @ ByJu's, India
: Python & SQL reporting workflows
: Streamlined business operations
| Project | Tech Stack & Impact |
|---|---|
| 🎓 CogniKids AI-powered educational platform for children |
    95% user satisfaction |
| 🧠 Knowledge Graph Extractor LLM-powered structured data extraction for Hella/FORVIA |
   Enterprise-grade solution |
| 🔍 Anomaly Detection System LSTM-based real-time anomaly detection |
   High accuracy on complex datasets |
| 🤖 AI Testing Framework Automated E2E testing with AI-powered analysis |
   90% accuracy in root cause analysis |
TypeScript |
JavaScript |
Python |
CSS |
HTML |
🔥 Current Status:
📁 8+ Public Repositories
💻 195+ Total Commits
🎯 Active in AI/ML & Full-Stack Development
🌱 Building with TypeScript, React, Python & AI
Total Repositories: 8+ | Total Commits: 195+ | Total Stars: Growing 🌟
Key Projects:
🏫 Wamocon Academy (React + TypeScript)
🎓 Master Thesis (AI Testing Framework - TypeScript)
💬 LingoCall (Communication Platform - JavaScript)
🔍 Anomaly Detection (ML Project - Python)
🚀 Mumbi Pro (Next.js + TypeScript)
M.Sc. Data Science | Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) | Apr 2022 – Aug 2025
- Focus: Machine Learning Time Series, ML in Signal Processing, Business Intelligence, Deep Learning, Innovation and Leadership, Mathematics of Learning
B.E. Information Technology | Gujarat Technological University, India | May 2017 – Jul 2021
- Focus: AI, Data Structure, Database Management Systems, Analysis and Design of Algorithms, Software Engineering, Big Data Analytics, Web Technology
- Deep Learning with TensorFlow — IBM
- Prompt Design in Vertex AI — Google Cloud Badge
- English: C1 (Very Good)
- German: B1