CV

Download my full academic CV here: Download CV

Education

• Bachelor of Technology in Computer Science and Engineering (AI & Data Science)

  • Sikkim Manipal Institute of Technology (SMIT), Sikkim, India
  • July 2023 – June 2027

• ISC (Class 12) – Science Stream

  • St. Xavier’s School, West Bengal, India
  • April 2021 – March 2023

• ICSE (Class 10)

  • St. Xavier’s School, West Bengal, India
  • April 2010 – March 2021

Experience

• Founder & Lead Research Architect

  Jan 2026 – Present

  • Halo Mind Research Group (Independent Research Organization)
  • Direct the fundamental scientific trajectory of an independent research group focused on hardware-efficient sub-quadratic mechanisms, including Deep Delta Learning (DDL) and Vision Mamba architectures.
  • Lead a distributed team of ML Systems Engineers, Applied Vision Researchers, and Data Engineering Interns to execute end-to-end experimental research and deployment workflows.
  • Oversee the development, deployment, and rigorous evaluation of open-source PyTorch frameworks spanning Space AI, solar-weather forecasting, medical imaging, and uncertainty-aware conformal prediction systems.

• Research Assistant (AI & Computer Vision)

  May 2026 – Present

  • The ALIEN Lab, Aston University, UK (Remote)
  • Engineer foundational AI representations and low-level vision architectures under the supervision of Dr. Ziyang Wang.
  • Design, implement, and rigorously evaluate deep learning pipelines optimized for complex spatial and sequential tasks within biomedical domains.

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

  Jun 2026 – Present

  • Indian Statistical Institute, Kolkata (Hybrid)
  • Spearhead research in computer vision and Optical Character Recognition (OCR) under the supervision of Prof. Umapada Pal, focusing on the restoration of highly degraded and unstructured texts.
  • Formulate and evaluate novel deep learning architectures for text and image restoration, explicitly designed to bypass traditional segmentation bottlenecks and improve feature extraction.

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

  Jun 2026 – Present

  • The University of Salford, UK (Remote)
  • Drive international research initiatives in complex scene text recognition under the supervision of Prof. Shivakumara Palaiahnakote.
  • Engineer advanced sequence modeling frameworks designed to process complex visual structures, optimizing architectures for high-fidelity text extraction in unstructured environments.

• Research Assistant & Team Lead

  Sept 2025 – Present

  • Sikkim Manipal Institute of Technology (SMIT) (Onsite)
  • Architected attention-enhanced Swin Transformer pipelines for complex medical diagnostics. Delivered robust brain tumor classification capabilities and generalized feature extraction under rigorous patient-level data splitting protocols (Accepted, IEEE GCON).
  • Engineered AHF-RBF Net by replacing traditional Gaussian fuzzy membership with learnable Radial Basis Function (RBF) kernels. This architecture provides numerically stable, boundary-aware spatial attention for complex lesion segmentation, achieving a superior 84.55% IoU on the ISIC 2016 benchmark.
  • Engineered Intrinsic Neural Firewalls utilizing Deep Delta Residual Overwrites for edge-deployed cyber-physical systems. Achieved high-performance, zero-shot anomaly rejection against False Data Injection Attacks (Accepted for Oral Presentation, WIN 6.0).
  • Directed and mentored student research teams, training junior researchers in core deep learning methodologies and guiding end-to-end experimental design from conceptualization to multiple first-author and co-authored acceptances in IEEE and Springer venues.

• AI & Data Science Intern

  Jul 2025 – Aug 2025

  • Soft Nexis Technology (Remote)
  • Engineered and deployed RealVisor, an end-to-end AI real estate platform. Developed robust predictive pipelines utilizing XGBoost and Random Forest Regressors to estimate property valuations based on complex spatial features.
  • Conducted rigorous evaluation across curated real-world datasets, strictly outperforming baseline models, and designed a production-ready Streamlit dashboard featuring interactive market trend visualizations and automated investment analysis.

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%.

• Deep Learning & AI Certifications: NLP with DL, PyTorch for Medical Imaging (Udemy); GenAI for Data Scientists (Coursera); Applied Machine Learning (AMII).

Technical Skills

• Languages & Frameworks: Python, C, Java, PyTorch, TensorFlow, Keras, Streamlit, LaTeX, Git, GitHub

• Computer Vision: Vision Transformers, Mamba, State Space Models (SSMs), U-Net, Deep Delta Learning, Diffusion Models, GANs, YOLO, CNNs

• Signal Processing & Time Series: 1D CNNs, Signal Analysis, SpaCy, NLTK, Text Mining, OCR Pipelines

• Data Engineering & Tools: Pandas, NumPy, SciPy, Scikit-learn, ETL Workflows, Hadoop, Spark, Computational Workflows, High-Throughput Image Processing