Welcome to my GitHub profile! I'm CTO at MAindTec GmbH, a B2B AI SaaS startup in Germany, where I lead end-to-end delivery of GenAI and Agentic AI programmes for enterprise clients in manufacturing and automotive. I build production agentic systems — multi-agent LangGraph orchestration, hybrid RAG (pgvector, BM25 + dense + Cohere reranking), MCP servers, LangSmith observability — and lead a team of 9 engineers from discovery through deployment. My background combines Generative AI, Computer Vision, and Deep Learning research with hands-on software engineering.

// AI expertise areas
const expertise = {
  domains: ["Agentic AI", "Generative AI / RAG", "LLMOps", "Computer Vision"],
  languages: ["Python", "TypeScript", "JavaScript", "SQL"],
  frameworks: ["LangGraph", "LangChain", "FastAPI", "PyTorch", "Next.js"],
  goals: "Shipping AI systems that solve real-world enterprise problems"
};

Chief Technology Officer (CTO) (January 2026 - Present)

• Lead end-to-end delivery of complex GenAI and Agentic AI programmes for enterprise clients in manufacturing and automotive
• Work directly with customers to translate business challenges into scalable, production-grade AI solutions
• Build production agentic AI systems with LangGraph: multi-agent orchestration, tool calling, structured output validation
• Architected hybrid RAG pipelines (pgvector, BM25 + dense + Cohere reranking) with LangSmith observability in production
• Act as bridge between engineering teams, C-level stakeholders, and business users across all client engagements
• Delivered 3 projects end-to-end from discovery through deployment; lead 9 engineers across all functions

Lead Solution Engineer, AI and DevOps (June 2025 - December 2025)

• Delivered end-to-end AI solutions for enterprise clients; led technical demos, scoping sessions, and architecture decisions
• Built agentic workflows with LangGraph; deployed scalable services on Azure with CI/CD and production monitoring

AI and Software Engineer (April 2025 - May 2025)

• Built RAG-powered AI applications with LangChain and FastAPI; first production deployment on Azure with CI/CD

Research Assistant - Generative AI (December 2024 - March 2025)

• Developed a RAG pipeline to interpret medical workflow specifications
• Researched and implemented generative AI models for healthcare applications
• Explored LLM fine-tuning and agentic AI patterns for intelligent data retrieval

AI and Software Engineer - Work Student (March 2023 - March 2025)

• Optimized AI pipelines, reducing processing time by 99.84%
• Built large-scale video processing systems with deep learning and cloud AI
• Deployed YOLO-based multi-camera tracking for healthcare analytics
• Led Azure deployments, ensuring scalability and security
• Designed DevOps pipelines with CI/CD (Azure DevOps, GitHub Actions)
• Set up and managed multiple Linux servers & NAS systems for AI model hosting
• Integrated RAG pipelines for medical workflow analysis
• Worked with international clients, successfully delivering AI solutions

Data Science Intern (July 2020 - September 2020)

• Optimized ETL pipelines, reducing processing time by 99%
• Built ML models for predictive analytics in business intelligence

Data Science Trainee & Intern (May 2020 - June 2020)

• Project: Real-time COVID-19 Forecasting
• Visualized and analyzed the dataset using Matplotlib and Seaborn
• Predicted potential COVID-19 cases using Linear Regression algorithm

Undergraduate Fellowship Summer Project and Research Program (June 2019 - July 2019)

• Implemented a Blockchain PoC for IoT-based transportation of sensitive goods
• Tools & Technologies: Ethereum Blockchain, Solidity, Go, Javascript, HTML, CSS, MetaMask

Master of Sciences - Data and Knowledge Engineering (April 2022 - October 2024)

• GPA: 1.7
• Key subjects: Machine Learning, Deep Learning, Data Mining, Computer Vision, Recommender Systems, Cloud DevOps, Visual Analytics, NLP, Data Warehousing, Distributed Data Management, Generative Models

Bachelor of Engineering - Computer Engineering (July 2017 - July 2021)

• GPA: 1.4
• Key subjects: Data Structures, DBMS, Data Analytics, Machine Learning, AI

Production B2B SaaS, Enterprise Clients (2025 - Present)

• Enterprise AI platform: LangGraph agents, hybrid RAG, MCP servers, LangSmith observability
• Multi-tenant with RBAC and SAML SSO; serving manufacturing and automotive clients in production
• Technologies: Next.js 15, FastAPI, pgvector, Azure Container Apps

Master Thesis (Grade: 1.3) (March 2024 - October 2024)

• Developed a comprehensive system for multi-camera object tracking in healthcare environments
• Technologies: Computer Vision, PyTorch, YOLO

Group Project - OVGU (May 2023 - September 2023)

• Evaluated model robustness using GradCAM, SmoothgradCAM++, ScoreCAM, and LayerCAM
• Technologies: Deep Learning, Interpretability, Captum

Bachelor Thesis (October 2020 - June 2021)

• Built a deep learning-based waste segregation system using Raspberry Pi
• Technologies: IoT, Deep Learning, Raspberry Pi

Smart India Hackathon - Top 5 Finalist (August 2020)

• E-commerce platform connecting farmers and consumers with ML-based recommendations
• Technologies: ML, Web Dev, Recommendation Systems

• Smartzzy - Application number: 202121011507, Region: India, Status: Published (September 2022)
• Smart Parkade - Application number: 202121011511, Region: India, Status: Published (September 2022)

• Microsoft: Microsoft Technical Associate for Introduction to Programming Using Python (August 2020)
• Coursera: Programming for Everybody (Getting Started with Python) - University of Michigan (May 2020)
• Coursera: Python Data Structures - University of Michigan (May 2020)
• Coursera: Using Python to Access Web Data - University of Michigan (June 2020)

• Smart India Hackathon - 2020 finalists - Top 5 projects from India (August 2020)
• Runner up in Smart India Hackathon conducted in DYPIEMR (February 2020)
• Runner up in Gamming Jamming event conducted in DYPIEMR by COMPSA (February 2020)
• Winner of Computer Network Model Making Competition conducted in DYPIEMR in association with Computer Society of India (October 2019)
• Runner up of Mini Project Exhibition conducted in DYPIEMR in association with ACM (October 2019)
• Finalist in the Hackathon "Solve for Safer India" (April 2019)
• Runner up of Techno-Frenzy Competition held in Department of Computer Engineering (February 2019)
• Winner of Model Making Competition organized by Computer Department of DYPIEMR (July 2018)
• Second Runner up in technical project competition organized by ExpertsHub (June 2018)