Innovative professional passionate about aligning cutting-edge technologies with strategic business objectives
Website: https://anoopc92.github.io
Innovative professional with a Ph.D. in Computational Chemical Engineering and extensive experience in developing strategies and analytical solutions for technological projects. Expertise in preparing grant proposals, collaborating with cross-disciplinary stakeholders, and delivering actionable insights for innovation. Passionate about aligning cutting-edge technologies with strategic business objectives, ensuring impactful outcomes in global markets.
Walmart Centre / IIT Madras | India | March–Sept 2025
Expertise:
- Applied LLM Systems Engineering – Designing end-to-end pipelines for data extraction, cleaning, summarization, visualization, and interactive UIs (Flask, Tkinter)
- Knowledge Graphs & RAG – Integrating structured retrieval, optimization, and domain knowledge with LLMs to improve accuracy and insights
- Mathematical & Theoretical Foundations – Applying statistical physics, diffusion models, optimization (Lagrangian methods), and probabilistic reasoning to GenAI efficiency and learning theory
- Domain-Driven AI Applications – Adapting AI for engineering, manufacturing, WASH (water, sanitation, hygiene), BOM generation, and educational/interactive tools
- AI Infrastructure & Optimization – Hands-on with Docker, LLM finetuning, vLLM inference of SLM
Solvay Chair: Centrale Lille | Lille, France | Oct 2024
- Partnered with Solvay for product design and to build computational models as part of the Plastiloop project focused on circular economy innovations
- Designed and implemented bio-informatics models (LSTM, GNN)
- Created technical documentation and presented findings to stakeholders
Procter and Gamble: Ghent University | Belgium | 2023–2024
- Business Decision Making: Associated with behavioral and consumer research team of Product research
- Prepared and submitted dossiers for product approvals and conducted risk assessments
- Collaborated with Product Researchers and Consumer Market Initiatives to leverage data and extract business insights
- Conducted consumer/product research using digital technologies (sensor data)
- Applied data analytical skills to extract valuable insights and informed decision-making
Ghent University / Centrale Lille | Belgium/France | 2019–2023
Condensed Matter Chemistry / Chemical Engineering
Key Achievements:
- Industry Collaboration: Collaborated with chemical industry partners to develop advanced computational models (Microkinetic modelling, XGBoost, SVM, neural networks)
- Internship: GSK Pharmaceuticals on product development and digitalization initiative, Wavre, Belgium
- Data Analysis: Assessed models using SHAP, Permutation importance, and PDP for process optimization
- Mentorship: Supervised and mentored 3 master's thesis students on projects with ArcelorMittal
- Knowledge Transfer: Conducted three technical workshops for 5-30 participants
Impact:
- Published 5 research papers in top-tier journals
- Delivered 3 numerical models to industrial partners for Fischer-Tropsch catalysis process
IIM Bangalore | India | 2017–2018
Decision Science Department
- Collaborated with faculty and industry partners on real-world decision science applications
- Developed data-driven models for business analytics and operational efficiency
Ghent University | Gent, Belgium | 2019–2022
- Specialization: Computational statistical and machine learning model development
- Achievement: 5 high impact computational papers
Indian Institute of Technology | Madras, India | 2014–2017
- Specialization: Chemical Engineering
- CGPA: 8.94/10
University of Calicut | Kerala, India | 2010–2014
- Specialization: Chemical Engineering
- Obtained Distinction with Honours
- CGPA: 8.61/10
- Achievement: Awarded MHRD full scholarship for achieving 99.5 percentile in entrance examination
Programming & Tools:
- Python (PyTorch, Keras)
- SQL
- Databricks
- Docker
- Microsoft Office Suite
AI/ML Expertise:
- Large Language Models (LLM) & Generative AI
- Knowledge Graphs & RAG Systems
- Machine Learning (XGBoost, SVM, Neural Networks)
- Deep Learning (LSTM, GNN)
- Statistical Physics & Optimization
Domain Knowledge:
- Computational Chemical Engineering
- Microkinetic Modeling
- Bio-informatics
- Process Optimization
- Decision Science
- English - Fluent
- Malayalam - Native
- Hindi - Fluent
- Dutch - Intermediate
"Aligning cutting-edge technologies with strategic business objectives"