CV

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Professional Summary

Undergraduate AI Researcher & Team Lead driven by a passion for solving complex, real-world challenges through Computer Vision, Natural Language Processing, and Edge AI. Published author with a track record of deploying end-to-end deep learning pipelines spanning hardware-optimized defect detection and cyber-physical systems to large-scale computational linguistics and medical diagnostics. Actively seeking international Master’s, Ph.D., or Visiting Researcher opportunities to contribute to high-impact computational research.

Education

  • Bachelor of Technology in Computer Science and Engineering (Data Science)
    • Sikkim Manipal Institute of Technology (SMIT), Sikkim, India
    • Jul. 2023 – Expected: Jul. 2027

Experience

  • Undergraduate AI Researcher & Team Lead
    • Dept. of AI and Data Science, SMIT, Sikkim, India (Aug. 2024 – Present)
    • Directing multi-disciplinary deep learning research spanning medical image segmentation, remote sensing, and NLP-driven document analysis.
    • Integrating advanced statistical frameworks (Conformal Prediction, Deep Delta Learning) to establish provable reliability and uncertainty quantification in complex physical and visual systems.
  • Research Intern (Computer Vision & Deep Learning)
    • Indian Statistical Institute (ISI), Kolkata, Hybrid (Jun. 2026 – Present)
    • Conducting research in complex spatial analysis and image restoration under the supervision of Prof. Umapada Pal, bypassing traditional segmentation bottlenecks.
  • Research Intern (Deep Learning & Sequence Modeling)
    • The University of Salford, UK, Remote (Jun. 2026 – Present)
    • Collaborating internationally on deep learning architectures for text recognition and visual sequence modeling frameworks under the supervision of Dr. Shivakumara Palaiahnakote.

Active Research & Projects

  • Ionospheric TEC Forecasting (CNN-DDL)
    • Co-authored a CNN-DDL architecture featuring a dynamic gate that conditions real-time solar wind drivers to scale non-linear corrections over physical persistence baselines.
    • Evaluated via zero-shot cross-solar-cycle testing (SC25 to SC24), achieving SOTA storm-time error rates (2.30 RMSE) and outperforming deep sequential baselines and IRI-2020.
    • Integrated Marginal Split Conformal Prediction to establish distribution-free uncertainty quantification, providing a mathematically reliable 90% empirical coverage bound during extreme geomagnetic superstorms.
  • Degraded Ancient Ashokan Brahmi Script Recognition
    • Leading a computer vision team alongside L. Chhetri, A. Anand, and G. Sarma to engineer a data generation and ETL pipeline using WGAN-GP to synthesize 20K+ Brahmi characters, applying physically-motivated degradation to construct a 150K sequence dataset.
    • Developed an end-to-end OCR architecture integrating SimCLR self-supervised pretraining on a ResNet34 backbone with a BiLSTM-CTC decoder.
    • Conducted a synthetic-to-real domain gap study, establishing the first severity-based Character Error Rate (CER) evaluation benchmark for ancient Indic scripts.[cite: 2]
  • Reddit Climate NLP Analysis (2015-2025)
    • Applying BERTopic and SBERT on 89K+ posts to quantify long-term textual evolution, human emotion modeling, and semantic shifts in online communication.
    • Utilizing linguistic approaches, OLS, and Chi-Square regression for large-scale data-driven analysis to prove the rise of meta-political debate and socio-emotional shifts within climate discourse.[cite: 2]

Honors, Certifications & Academic Service

  • Top 5% Topper & Elite Silver Medalist: Introduction to Internet of Things, NPTEL (Funded by MoE, Govt. of India).
  • Technical Peer Reviewer: Invited and served as an official peer reviewer for the IEEE GCON conference, evaluating manuscripts in applied deep learning and computer vision.
  • Data Science & AI Certifications: Natural Language Processing in Python, Data Science & Machine Learning, and Python From Scratch Bootcamp (Udemy).

Technical Skills

  • AI, Vision & NLP: PyTorch, CNNs, Edge AI, Spatial-Frequency Analysis, BERTopic, Sequence Modeling
  • Core Programming & Scripting: Python (Advanced). C, Java, OpenCV
  • Platforms & Version Control: Git, LaTeX, Linux/Ubuntu environments, IoT Frameworks, Report Writing