CV

Education

• Ph.D. in Computer Science and Engineering, Michigan State University, 2025–2030
  • Advisor: Prof. Parisa Kordjamshidi, Heterogeneous Learning & Reasoning Lab
  • GPA: 3.92/4.0
• B.Tech. in Computer Science Engineering with Business Systems, Vellore Institute of Technology, 2021–2025
  • CGPA: 8.93/10.0; top 8% of a cohort of 300 students

Work experience

• AI Science Intern, Intuit — Jun. 2026–Aug. 2026
  • Building RAG-based pipelines and deep-learning product recommendation systems for AI-assisted workflows.
• Graduate Research Assistant, Heterogeneous Learning & Reasoning Lab, Michigan State University — Aug. 2025–present
  • Researching trustworthy neuro-symbolic spatial reasoning and adaptive language-to-symbolic modality switching for multi-hop problems.
• Research Intern, Health NLP Lab, University of Tübingen — Dec. 2024–Jun. 2025
  • Developed PRISM, a label-guided procedural-video summarization framework that improved over baselines by 33%.
• Research Trainee, Financial Services Innovation Lab, Georgia Tech — May 2024–Jan. 2025
  • Designed multi-hop financial-law QA evaluation and a RAG chatbot for SEC-filing investment analysis.
• Research Intern, Centre of Responsible AI, IIT Madras — May 2024–Jan. 2025
  • Co-developed LExT, a framework for evaluating the trustworthiness of medical LLM explanations.
• Research Intern, SEMS Group, University of Hamburg — Aug. 2023–Sep. 2023
  • Built BERTologyNavigator for knowledge-graph question answering, reaching 100% accuracy on one-hop DBLP QuAD.

Skills

• Languages: Python, C++, C, Java, JavaScript, SQL, HTML/CSS, YAML
• ML & research: PyTorch, TensorFlow, Hugging Face, scikit-learn, NumPy, Pandas, OpenCV, MATLAB, ROS2, SLAM
• Engineering: Docker, FastAPI, Flask, Streamlit, Firebase, Git/GitHub, AWS, Azure
• Full stack: React, Next.js, Node.js, Express, MongoDB, Redux, React Native

Publications

Spatial Reasoning via Modality Switching Between Language and Symbolic Representation

Less is More: Label-Guided Efficient Summarization of Procedural Videos

LExT: Towards Evaluating Trustworthiness of Natural Language Explanations

Time Series Forecasting Using Language Models—A Case Study on ITO, Delhi

MediSentBot—Medicine Review Sentiment Analysis and Recommendation Bot Using Modern NLP

BERTologyNavigator: Advanced Question Answering with BERT-based Semantics

Talks

Keynote Speaker, CodeConfluence’23

January 01, 2023

Keynote at CodeConfluence'23, Vellore, India

Awards and scholarships

• University Distinguished Fellowship Recipient, Michigan State University (2025–2030)
• Dr. Frank B. Martin Cum Rec Endowed Fellowship, Michigan State University (2025)
• Best Paper Award, ICCCNet 2024 for MediSentBot
• Grace Hopper Celebration Scholarship Recipient (2023, 2024)
• Womanium Quantum Scholar (2024) and Womanium Quantum Final Awards Top 14 Finalist (2024)
• IET Scholarship Award (2024), Top 100 among 64,000+ participants
• AWS-Udacity Scholarship for AI Programming with Python
• 2nd Prize, CIL Hackathon (2021), among 200 teams
• Mercer Mettl Hackathon (2024), Top 50 among 500+ teams
• NASSCOM ThingQbator Cohort 2025, Top 20 Teams

Leadership

• Co-Founder & CTO, Vizen (NASSCOM ThingQbator, Nov. 2023–Jun. 2025): built emotionally intelligent chat, audio, and video agents for mental-health wellbeing; Top 10 finalist.
• Technical Head, IEEE SSIT VIT (Jan. 2023–Jan. 2024): mentored 40+ students, led open-source projects, and delivered a keynote at CodeConfluence’23.
  • Led the IEEE SSIT VIT open-source repositories Games and Go and Code Canvas, both created for GSSoC and Hacktoberfest contributions.