I engineer intelligent systems and build ventures around real-world problems.
AI engineer, researcher, and entrepreneur working across agentic AI, RAG, applied machine learning, explainable systems, multimodal AI, and AI-native product development.
CURRENTLY BUILDING: Cellvara - responsible AI adoption and governance infrastructure for pharma and biotech teams.
COMMAND CENTER
Mission Control
A live overview of current ventures, engineering focus, professional context, and active research direction.
Cellvara
AI enablement and governance infrastructure for pharma and biotech SMEs.
Current Engineering Focus
- Agent orchestration
- Enterprise RAG
- Structured outputs
- Human-in-the-loop workflows
- AI evaluation
- Explainable implementation guidance
- Responsible AI adoption
Hilti
Working Student AI
Working on Agentic AI-related initiatives in an industrial context, combining agentic AI, data, workflow thinking,embedded systems knowledge and practical business use cases.
Details pending verification
Neu-Ulm University of Applied Sciences
M.Sc. International Entrepreneurship, Digitalization and Sustainability
“How can organisations adopt advanced AI systems without sacrificing explainability, governance, operational trust, or human accountability?”
ACTIVE VENTURE
Current Mission: Cellvara
Responsible AI adoption infrastructure for pharma and biotech teams.
The Problem
AI Consultant-Grade Recommendations
- Explainable implementation steps
- Evidence-backed recommendations
- Traceable reasoning
- Action-oriented workflow guidance
- Tool and process suggestions mapped to business goals
Role-Specific Compliance-Aware Enablement
Workflow Mapping and Tool Orchestration
- Map workflows to appropriate AI tools
- Evaluate tool fit and readiness
- Connect tools into coherent operating workflows
- Reduce disconnected AI experimentation
- Support human review and governance
PUBLIC BUILDS
Featured AI Systems
A selection of public AI systems and prototypes exploring agent orchestration, retrieval, multimodal intelligence, structured outputs, and workflow automation.
BEYOND CODE
Venture Portfolio
Beyond building models and applications, I explore how AI can become useful products, validated workflows, and scalable ventures.
Cellvara
Customer Discovery / Prototype DevelopmentCellvara helps regulated pharma and biotech teams identify, evaluate, and implement AI tools and workflows with explainable guidance, role-specific recommendations, and audit-ready reasoning.
ForgeFoundry
Venture ExperimentForgeFoundry automates startup strategy with multi-agent pipelines covering problem-solution framing, market research, ICP personas, business models, GTM strategy, landing page publishing, and AI-generated pitch decks.
Afterz
PausedAfterz was a prototype concept exploring real-time event discovery, social coordination, and safety-aware nightlife planning. Current status needs verification.
SYSTEMS THINKING
Architecture Explorer
Explore how these AI systems are designed: from user input to agents, tools, retrieval, validation, and final outputs.
Click a node to explore
MEASURABLE OUTCOMES
Proof & Impact
Defensible evidence of engineering depth, research contributions, and venture building.
Industrial Context — Bosch eBike Systems
Pending VerificationIndustrial Context — Pending Verification
- 100,000+ rows/day industrial data workflows
- ETL pipeline: 3 hours → 8 minutes
- Applied ML & explainability for e-bike acoustic/vibration data
FOUR TRACKS
Braided Journey
From computer science foundations through research, industrial ML, agentic AI, and venture building.
Hilti
Working Student Agentic AI Engineer
May 2026 — Present
Bosch eBike Systems
Data Scientist
Jun 2023 — Mar 2025
FORWISS, University of Passau
Research Assistant
Jun 2022 — Jul 2023
Bosch eBike Systems
[Pending Verification]
Cellvara/Zestlearn
Founder / Builder
[Pending Verification]
Cellvara
Founder
Jan 2024 — Present
PES University
[Pending Verification]
University of Passau
[Pending Verification]
Neu-Ulm University of Applied Sciences
[Pending Verification]
KNOWLEDGE WORK
Research & Innovation
Academic research, industrial applied ML, and intellectual property contributions.
Predicting Perceived E-Bike Motor Loudness and Sound Quality ratings using Vibration Data with Explainable Artificial Intelligence
Master's Thesis — Bosch eBike Systems
Predicting perceived e-bike motor loudness and sound quality ratings using vibration data with explainable artificial intelligence techniques.
Wavelet Signal Compression Research
Research Assistant — FORWISS, University of Passau
Signal-processing research on compression of wavelet-based sensor data using NetCDF and HDF5 formats and JPEG compression techniques.
Smart Infrastructure and Connected Living Spaces
IoT and Embedded Systems Research
Research into smart infrastructure, connected living spaces, sensors, and embedded systems for intelligent environments.
A Flying Object for Dispensing Chemical Composition and Method Thereof
Patent
Patent for an autonomous drone system designed for precision dispensing of pesticides in farms using computer vision algorithms.
Research Interests
SKILLS WITH PROOF
Capability Map
Every skill linked to a system that uses it. Not a logo wall.
VERIFIED LEARNING
Credentials
Certifications and courses across agentic AI, deep learning, multimodal AI, and product development.
IBM
Building AI Agents and Agentic AI Workflows Specialisation
IBM
Vector Databases for RAG: An Introduction
IBM
Advanced RAG with Vector Databases and Retrievers
IBM
Agentic AI with LangGraph, CrewAI, AutoGen and BeeAI
IBM
Agentic AI with LangChain and LangGraph
IBM
Fundamentals of Building AI Agents
Anthropic
Introduction to Model Context Protocol
Anthropic
Model Context Protocol: Advanced Topics
WRITING & SHARING
Public Thinking
Sharing ideas on AI systems, building Cellvara, venture lessons, and applied research.
Designing Multi-Agent Systems That Don't Hallucinate
How structured outputs, verification agents, and deterministic pre-checks reduce hallucination in agentic AI systems.
Pending VerificationWhy RAG Alone Isn't Enough
Retrieval-augmented generation improves grounding but verification agents are needed for production reliability.
Pending VerificationWhat I Learned from Customer Discovery in Pharma AI
Observations from speaking with pharma and biotech teams about AI adoption challenges and decision-making.
Pending VerificationResponsible AI in Regulated Environments
Why explainability, traceability, and human oversight matter more than model accuracy in regulated sectors.
Pending VerificationTHE PERSON
About Chirag
I design and build AI systems across agentic AI, RAG, applied machine learning, explainability, multimodal AI, and AI-native product development. My work connects technical depth with entrepreneurship, especially around responsible AI adoption in complex and regulated environments.
Photography
Capturing places and moments
Travel
Learning through new environments
Creative Writing
Poetry and reflective writing
Music & Creative AI
Exploring generative creativity
COLLABORATION PATHS
Work With Chirag
Whether you are hiring for AI roles, exploring a Cellvara pilot, building a startup, or looking for a research collaborator, choose the path that fits best.
Hire Chirag
Looking for an AI engineer who can ship agentic AI systems, RAG pipelines, and applied ML in real products?
Explore Cellvara
Pharma or biotech team thinking about AI adoption? Let's discuss a pilot or proof of concept.
Build Together
Co-founder, researcher, developer, or designer interested in building AI products together?
Invite Chirag
Looking for a speaker, panelist, or workshop lead on AI engineering, agentic systems, or responsible AI?
Research Collaboration
Working on explainable AI, agentic systems, regulated AI, or human-AI workflows?