Experience & background

Experience

1. Apr 2026 - Present

   Project Lead for AI & Automation

   Beilstein-InstitutFrankfurt, Germany

   • Leading AI and automation initiatives at the Beilstein-Institut.
   • Bringing a decade of production ML, cheminformatics and open-data work to new tools and infrastructure for the chemical sciences.

2. Apr 2026 - Present

   Visiting Scientist

   Friedrich Schiller University JenaJena, Germany

   • Continuing collaboration with the Cheminformatics and Computational Metabolomics group on DECIMER, COCONUT and related open tools.

3. May 2021 - Mar 2026

   Postdoctoral Researcher · AI Services & Infrastructure

   Friedrich Schiller University JenaJena, Germany

   • Architected DECIMER.ai as a comprehensive service platform (web interface, REST APIs, microservice infrastructure) adopted globally for chemical information extraction.
   • Built scalable, production-grade ML services with FastAPI, Docker, Kubernetes orchestration and CI/CD automation.
   • Developed multi-modal AI models integrating image and text for biomedical applications; scaled training with Google TPU Research Cloud (Fellow); partnered with IBM Research on AI/data-science training.
   • Co-developed COCONUT 2.0 as a freely available service with FAIR data pipelines and quality-control infrastructure.
   • Designed and delivered AI/ML training programs as course instructor; mentored 11 graduate students.

4. Aug 2017 - May 2021

   Doctoral Researcher · AI Infrastructure Development

   Friedrich Schiller University JenaJena, Germany

   • Built the core infrastructure and services that evolved into the DECIMER platform, establishing automated data-processing pipelines.
   • Created training materials and led workshops on service development and FAIR data practices.
   • Developed automated testing and deployment infrastructure for chemical information services.

Education

1. 2017-2021

   Dr. rer. nat. (Ph.D.), Chemistry & Deep Learning

   Friedrich Schiller University Jenasumma cum laude

   Deep Learning for Chemical Information Processing

2. 2015-2017

   M.Sc. Bioinformatics

   Savitribai Phule Pune University, IndiaGPA 5.25/6, Excellent

   OpenSysGen: systematic conformer generation in Java

3. 2011-2014

   B.Sc. Biotechnology

   Bangalore University, India1st Class Distinction

   Concentration: Biotechnology, Chemistry, Zoology

Skills

Service Architecture & Infrastructure

• Production ML services
• FastAPI microservices
• Docker / Kubernetes
• CI/CD automation
• Site reliability
• MLOps platforms
• API gateway design
• Infrastructure as code

AI / Machine Learning

• Deep learning (TensorFlow, PyTorch)
• Transformers
• Computer vision
• Training at scale (TPUs)
• Model serving
• Automated pipelines
• Feature stores
• A/B testing

Data & Collaboration

• FAIR data principles
• Metadata services
• GitHub Actions
• API specifications
• Data versioning
• Automated QC

Programming & Platforms

• Python (10+ yrs)
• Java (10+ yrs)
• JavaScript (React/Vue)
• Google Cloud (TPUs, Vertex AI)
• AWS
• Docker
• Kubernetes

Cheminformatics

• RDKit
• CDK
• OpenBabel
• Chemical OCR / OCSR
• Structure normalisation

Awards & recognition

1. 2025 CSA Trust Award For open-science leadership
2. 2025 DAAD Kongressreisen Award
3. 2024 CVPR Demo Track selection DECIMER.ai
4. 2021- Google TPU Research Cloud Fellowship

Selected talks

1. 2025 ICANN, Lithuania Two talks: chemical language representations; the MARCUS platform
2. 2025 American Chemical Society (ACS) Invited talk: open AI tools for chemical data mining
3. 2024 IEEE/CVF CVPR Poster & demo track: DECIMER.ai (dedicated booth)
4. 2024 IWOMI, Bolzano Talk & workshop: AI in cheminformatics & TPUs
5. 2023 RSC-BMCS, Cambridge Talk: DECIMER.ai platform advancements
6. 2023 ICANN Oral presentation: deep learning for chemical recognition
7. 2022 German Cheminformatics Conference Talk: the DECIMER project