cv
A short research CV. The full PDF is linked above.
General Information
| Full Name | Trilok Padhi |
| Location | Atlanta, GA, USA |
| tpadhi1@student.gsu.edu | |
| Research Interests | Multimodal agents, large vision-language models, knowledge-enhanced and interpretable AI, AI safety, reinforcement learning for reasoning and planning |
Education
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2022–now PhD in Computer Science
Georgia State University, Atlanta, GA - Advisors and mentors: Prof. Ugur Kursuncu, Prof. Yi Ding, Prof. Valerie Shalin, Dr. Yaman Kumar Singla.
- Research area: design of multimodal knowledge-enhanced neuro-symbolic models and agents.
- Coursework: Large Language Models, Advanced Deep Learning, Advanced Machine Learning, Advanced Human-Computer Interaction.
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2016–2020 Bachelor of Technology in Electronics and Communication Engineering
Veer Surendra Sai University of Technology, Burla, India
Research Experience
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Summers 2025 & 2026 Applied Scientist Intern
Siemens GenAI R&D, Seattle, WA - Mentors: Dr. Robert Zhu, Dr. Ivo Santos. Data & AI Research (DAI) team.
- 2025
- Development and evaluation of large-scale multimodal industrial foundation models, focusing on robust pretraining strategies and post-training techniques, aligned with Siemens' Industrial Foundation Models initiative.
- 2026
- Design and implementation of a novel self- and meta-harness pipeline for synthetic data generation and evaluation for Physical AI foundation models, enabling high-quality synthetic datasets for training and evaluating AI models in industrial applications.
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Summer 2024 Research Intern
SRI International, Menlo Park, CA - Mentors: Dr. Susmit Jha, Dr. Anirban Roy, Dr. Ramneet Kaur, Dr. Manoj Acharya. Neuro-Symbolic Computing and Intelligence (NuSCI) research group.
- Proposed a new state-of-the-art methodology for uncertainty quantification in large vision-language models using visual grounding, published as Seeing is Believing (arXiv:2505.03788).
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Jan–Aug 2020 Research Intern
Bosch Research, Bengaluru, India - Mentor: Dr. Sahana Prabhu.
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2018–2019 Research Intern
NVIDIA Research, Bengaluru, India - Mentors: Dr. Christoph Angerer, Mr. Jakob Progsch, Mr. Bharatkumar Sharma, Mr. Jigar Halani.
Industry Experience
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2021–2022 Data Scientist
Rakuten Inc., Bengaluru, India - Supervisors: Mr. Anirban Nandi (Vice President), Mr. Gaurav Ray (Associate Director).
- Led projects in the Data Science Consulting department on impact estimation, funnel analysis, and customer acquisition, working with a team of 24 across seven countries.
- Developed an LSTM-Attention + DistilBERT churn prediction model with interpretable attention insights, improving retention strategy with an estimated revenue impact of ¥10M annually.
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2020–2021 Deep Learning Researcher
Wowexp Technologies, Bengaluru, India
Honors and Awards
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2025 - ACL Student Travel Award
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2024 - IEEE BigData Student Travel Award
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2018 - National Champion (1st of 200,000), Smart India Hackathon, Jaipur, India
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2016–2020 - Academic Scholarship, Veer Surendra Sai University of Technology
Technical Skills
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Programming and Deep Learning
- Python (PyTorch, NumPy, Pandas, scikit-learn)
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Multimodal and Vision-Language Models
- Hugging Face Transformers, OpenCV
- CLIP, LLaVA, LLaMA v1/v2/v3, Mistral, GPT-OSS
- LLM finetuning, pretraining, and post-training (RLHF, PEFT, DPO, alignment)
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Knowledge Graphs and Graph Neural Networks
- PyTorch Geometric, NetworkX, DGL
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High-Performance Computing
- MPI, CUDA, Slurm
Academic Interests
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Multimodal agents and large vision-language models
- Interpretability and early failure detection in long-horizon agent trajectories.
- Calibration and uncertainty quantification grounded in visual evidence.
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Knowledge-enhanced learning
- Commonsense and structured knowledge infusion into compact multimodal models.
- Neuro-symbolic approaches to multimodal reasoning.
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AI safety and social computing
- Red-teaming vision-language models and agents under multi-turn adversarial pressure.
- Evaluating LLMs in sensitive domains such as mental health support.