Research: Where ‘what if’ turns into months of debugging and a publication that makes it all worth it.

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Center for Development of Advanced Computing
May 2019 - Oct 2019
Center for Development of Advanced Computing
Research Intern|Full-Time|Kolkata, India

Achievements

  • Led and implemented modified approach to person re-identification based on dynamic gait
  • Achieved best accuracy of 91.13% on CASIA-B Gait Dataset (Python, Pandas, Numpy, Scikit-learn)
  • Presented research paper at ETCCS 2020, indexed in Springer LNEE Series
Robert Bosch GmbH
Jan 2020 - June 2020
Robert Bosch GmbH
Research Intern|Full-Time Co-Op|Bangalore, India

Received a full-time offer, which was deferred due to a hiring freeze during the COVID-19 pandemic

Achievements

  • Adapted open-set classification to identify rare objects in vehicular datasets by merging classification models with meta-learning and few-shot algorithms, achieving 56% accuracy on the Open Images subset
  • Developed novel algorithm to predict automobile part degradation and recommend preemptive actions
Boston University
Jan 2024 - May 2024
Boston University
Teaching Assistant|Part-Time|Boston, MA

Achievements

  • Assisted with an introductory course on cyber-physical and IoT systems
  • Supported course logistics, conducted classes, graded assignments, managed lab sessions independently and contributed to developing new assignments
Human-to-Everything (H2X) Lab, Boston University
Mar 2023 - Mar 2025
Human-to-Everything (H2X) Lab, Boston University
Visiting Researcher / Graduate Research Assistant|Full-Time|Boston, MA

Achievements

  • Enhanced vision-language model performance for autonomous driving by 80% through creation of novel dataset and application of fine-tuning, RAG, and RAFT techniques
  • Collaborated with Red Hat to optimize cloud-edge collaboration algorithms, developing a conditional routing module for dynamic offloading that reduced energy consumption
  • Achieved state-of-the-art performance in CARLA-based navigation metrics, outperforming existing solutions by 35% while enhancing energy efficiency
  • Designed a novel crowd navigation environment and introduced the Ecological Navigation Score metric to prioritize energy-efficient navigation in reinforcement learning tasks
  • Developed visual servoing for multi-robot simulations using RGB and depth sensors, integrated human feedback, and evaluated reinforcement learning algorithms for person-following, significantly improving performance
LossFunk
June 2025 - Present
LossFunk
Independent Researcher|Part-Time|Bangalore, India

Achievements

  • Pursuing an original research idea in the intersection of AI and music, focusing on source separation. Compute generously sponsored by LossFunk Initialize.