CV

Download my full academic CV here: Latchan_Chhetri_CV.pdf

Education

• Bachelor of Technology in Computer Science and Engineering (Data Science)
  • Manipal Institute of Technology, Sikkim, India
  • Expected 2027

Experience

• Research Intern (Computer Vision, OCR & Document Analytics)

  Jun 2026 – Present

  • Indian Statistical Institute, Kolkata (Hybrid)
  • Conducting research in computer vision, degraded document analysis & OCR under the supervision of Prof. Umapada Pal.
  • Investigating deep learning architectures for text and image restoration, bypassing traditional segmentation bottlenecks.

• Research Intern (Computer Vision, OCR & Document Analytics)

  Jun 2026 – Present

  • The University of Salford (Remote)
  • Collaborating internationally on scene text recognition, reconstruction and sequence modeling frameworks under the supervision of Prof. Shivakumara Palaiahnakote.

• Undergraduate AI Researcher & Team Lead (Computer Vision)

  Sept 2025 – Present

  • Sikkim Manipal Institute of Technology (SMIT) (Onsite)
  • Spearheaded independent research in deep learning architectures, authoring 5+ first-author and senior-author manuscripts across computer vision, biomedical imaging, and OCR domains.
  • Directed and mentored student research teams, teaching core methodologies and guiding end-to-end projects from conceptualization to multiple acceptances in IEEE venues.
  • Developed and open-sourced novel, hardware-efficient state-space models for high-throughput sequence and spatial modeling.
  • Collaborated on cross-disciplinary uncertainty-aware AI frameworks with distinguished faculty, including highly cited researchers.

• Data Science Intern

  Jul 2025 – Aug 2025

  • Soft Nexis Technology (Remote)
  • Engineered and deployed RealVisor, an end-to-end AI real estate analytics platform, utilizing XGBoost and Random Forest Regressors to estimate property valuations based on complex spatial and architectural features.

Honors, Certifications & Academic Service

• 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.
• Top 1% Topper & Gold Medalist: Introduction to Internet of Things, NPTEL (Funded by MoE, Govt. of India). Elite score: 91%.
• Certifications: NLP with DL, PyTorch for Medical Imaging (Udemy); GenAI for Data Scientists (Coursera); Applied Machine Learning (AMII), and more…

Technical Skills

• Languages & Frameworks: Python, C, Java, PyTorch, TensorFlow, Keras, Streamlit, LaTeX, Git, GitHub
• Computer Vision: Transformers, Mamba, SSMs, U-Net, CNNs, Deep Delta Learning, Diffusion Models, GANs, YOLO, Vision Language Models, Tesseract, SVG, 3D Modelling, Blender..
• Signal Processing & NLP: 1D CNNs, Signal Analysis, Spacy, NLTK, Text Mining, OCR Pipelines
• Data Engineering & Tools: Pandas, NumPy, SciPy, Scikit-learn, ETL Workflows, Hadoop, Spark