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B. Tech

• Major in Chemical Engineering.
• Minor in Computing.
• Undergraduate Research Areas.
  • Computer Vision
  • Reinforcement Learning
  • Complexity Theory
  • Deep Learning & Machine Learning
  • Explainability and Inerpretability
  • Graph Learning

CBSE

• Certificate of Merit for top 0.1%.
• Science Stream including Physics, Chemistry, Mathematics, & Computer Science.

Research Intern

• Working on advancements in Multi source free domain adaptation
• Working on advancements in improving robustness of DeepFake detection

Research Intern Charpak Lab Scholarship

• Time series Anomaly Detection, Improvement of Volume Under Surface (VUS) Range based anomaly detection metric
  • Fivefold runtime improvement
  • Reduction in Time and Space Complexity
  • Verified on Synthetic Data and TSB UAD Benchmark
• Time series Classification, Use of Series2Graph model, to produce explainable time series classfication.
  • Unified Graph based representation for Time series
  • Expainability in classification based on nodes and edges

Research Intern

• Developed realistic surgical settings to integrate LLM based control
• Combined and improved several surgical simualators for image based RL control

Young Research Fellow

• Developed ML based Chemical Kinetics Model for Fluidized bed reactor
• Bottleneck network for reducing and grouping multi dimensional Input data

Technical University of Munich

• Developed XAFS data generation pipeline
• Used PCA and ANN to produce composition prediction for noisy empirical data

Final year Project (B. Tech Project)

• Working on making advancements in Explainable Reinforcement learning in Control theory

Colloids Term Project

• Colloidal Drop Drying prediction using geometric synthetic data generation and Transfer learning

Ecological Term Project

• Mapping of Fig Trees across IIT Madras Campus for Ecological sustainability study.

Toyota Connected India Limited, Vision Team Navi AR, Lane ID

• Worked on developing Vision Pipeline in AWS Servers for automated driving

CONXAI X CNS Lab

• Developed Graph based reasoning networks for resource identification and allocation from video feed

Joint Angle Estimation by Computer Vision and Intelligence Club

• Enhanced Lightweight Joint Angle Estimation to get real time joint angle estimates by monocular lens

Facial Expresssion Recognition (FER)

• Improved Speed of FER by using Facenet to replace MTCNN backbone in facial detection.

• Charpak Lab Scholarship
• Top 30 in India

• Young Research Fellowship
• Top 35 in IITM in Research Aptitude

• Certificate of Merit
• Top 0.1% in CBSE for Class XII