Hi, I'm Shashwat Mishra
Building Scalable Web Solutions & Intelligent Systems. Passionate about creating excellent digital experiences and solving complex problems with AI.
Core Expertise
Frontend
React, Next.js, Tailwind, HTML/CSS
Backend
Node.js, Express, MongoDB, SQL
AI & Tools
Python, ML Basics, Docker, Git
Digital Marketing
Growth Strategies, Brand Expansion
SEO Expertise
Technical SEO, On-page Optimization, Analytics
Data Analytics
Conversion Rate Optimization, A/B Testing
Research Contribution
Chapter 29 in Artificial Intelligence in Biomedical and Modern Healthcare Informatics presents a machine learning pipeline for real-time workload classification using fNIRS data.
Machine learning-based workload identification using functional near-infrared spectroscopy (fNIRS) data
Authored a peer-reviewed book chapter that demonstrates how fNIRS can be combined with machine learning to evaluate cognitive workload, extract robust features from neurovascular signals, and classify workload level in real time.
Publication
Artificial Intelligence in Biomedical and Modern Healthcare Informatics
Pages
299–312
Key contributions
- Introduced workload identification for cognitive state monitoring using fNIRS.
- Used data from 26 healthy volunteers across memory, word generation, and DSR tasks.
- Developed feature extraction and preprocessing pipelines for neurovascular signals.
- Evaluated classifiers including KNN, SVM, linear regression and random forest.
Impact
The chapter highlights how ML models can identify low versus high workload in real time, supporting cognitive workload assessment for biomedical research and human factors applications.
Published October 2024 on ScienceDirect as part of a book edited volume in biomedical healthcare informatics.
Featured Work
TechLotus
TechLotus is an AI-powered healthcare CRM that leverages real-time transcription (AssemblyAI) to convert doctor–patient consultations into structured medical records.It automates data extraction, task generation, and patient management, reducing manual effort by ~70% and improving consultation efficiency by ~40%, enabling faster and more accurate clinical workflows.
Loan Referral (End-to-End Fintech System)
Built a production-level fintech CRM and lead distribution system that connects loan seekers with verified financial partners through an intelligent, automated referral workflow.Developed a full-stack platform featuring secure authentication, partner onboarding with approval workflows, and a complete lead lifecycle management system from capture to conversion.