Initializing Neural Interface

Microsoft Certified AI Professional

Sagnik
Biswas

AI Engineer | Deep Learning & Machine Learning Developer

I build and deploy deep learning models and intelligent systems for real-world applications. Developed CNN-based plant disease detection systems trained on 30,000+ images achieving 95% accuracy.

View Experience
95% Accuracy
Model Accuracy

Achieved in deployed deep learning models.

30,000+ Images
Image Dataset

Trained CNN on massive plant disease dataset.

Microsoft AI-900
Certified

Certified professional in Azure AI Fundamentals.

Experience

Worked on technical SEO optimization and content strategy for digital marketing projects and client websites.

  • Implemented on-page SEO improvements for multiple websites
  • Created SEO-focused technical articles and content
  • Conducted keyword research and search optimization
  • Improved website performance and search visibility
  • Collaborated with developers to improve UX and site structure
Technical SEO Keyword Research On-Page SEO Performance Optimization Content Strategy
  • Designed technical UI/UX architectures for MVP applications
  • Ensured design-to-code consistency across development cycles
  • Optimized user flows through data-driven design iterations
  • Collaborated with engineering teams on front-end integration
  • Optimized features for high-performance user experiences
95% Design Consistency MVP App Launch
  • Implemented AI/ML models focusing on practical deployment
  • Architected cloud-based AI workflows on Azure
  • Developed automated pipelines for model evaluation
Cloud AI Workflows Azure AI
  • Developed deep learning architectures for predictive analysis
  • Implemented CNN and RNN models for practical AI applications
  • Optimized hyperparameters for improved model performance
Model Prototyping Deep Learning

Projects

Built a CNN-based deep learning system to detect plant diseases from leaf images.

Problem: Farmers struggle to identify plant diseases early.
Dataset: 30,000+ plant leaf images
Results: 95% model accuracy
Python TensorFlow CNN Deep Learning Computer Vision
GitHub Repository

Machine learning system that detects fake news articles using NLP techniques.

  • Text classification
  • Natural Language Processing
  • Credibility detection
Python Machine Learning NLP
GitHub Repository

AI-powered tool designed to analyze and explain source code to assist developers.

  • Code understanding
  • AI-powered analysis
  • Developer productivity
Python AI LLM Integration
GitHub Repository

Web platform for managing blood donors, blood availability, and emergency blood requests.

HTML CSS JavaScript

System that recommends dishes based on ingredients available in the user's kitchen.

JavaScript Firebase

Expertise

AI & Machine Learning

TensorFlow • CNN • EfficientNet • Deep Learning • Computer Vision

Development

Python • JavaScript • Web Development • API Integration

Cloud & Security

Microsoft Azure AI-900 • IT Security Foundations

Design & Core

UI/UX Design • Object-Oriented Programming • Networking

Languages

English

Professional

Hindi

Fluent

Bengali

Native

German

Conversational

Education

Manav Rachna International Institute of Research & Studies

Bachelor of Technology - BTech

Computer science engineering specialisation in artificial intelligent and machine learning

June 2023 - May 2027

Aakash Institute

Higher Secondary (Class 11–12) – PCMB

Studied Physics, Chemistry, Mathematics, and Biology while preparing for competitive examinations.