Hey! I am Mihit

Mihit Singasane

Mihit Singasane,0

AIML enthusiast | Full stack developer | IEEE SPIT TechHead

About me
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{
"name": "Mihit Singasane",
"age": 20,
"status":"Computer Engineering Student",
"interests": ["AIML","GenAI","Deep Learning"],
"education": {
"college": "SPIT","year": 2027
},
"expertise": [
"GenAI & LLMs","Full-Stack","Computer Vision","Backend & APIs","Data & ML Systems"
],
"active": true
}
“

I can go all night coding just with my diet coke.

Top Experience

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AI Research Intern

SPJIMR

Jul 2025 – Sept 2025

Worked on evaluating and optimizing large language models to build a specialized low-compassion AI chatbot using advanced prompt engineering and behavioral analysis techniques.

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Machine Learning Intern

Skewb Ltd

Jun 2025 – Aug 2025

Developed a mobile application for identifying construction waste materials using CNN-based image classification with real-time inference.

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Software Developer Intern

ImmenseSoft Software Solutions

Apr 2025 – Jun 2025

Developed a scalable web platform for exploring Indian government schemes with dynamic filtering, search, and secure user authentication.

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Python Development Intern

EBA Solutions

July 2024 – Aug 2024

Worked on document intelligence pipelines focused on OCR, data extraction, and workflow automation using Python and Azure.

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Frontend Web Developer

Freelance Project

Nov 2025

Designed and developed abfragrances.in as a digital catalogue website to showcase perfume collections with a modern and responsive user experience.

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Top Projects

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Fictional Universe Consistency Kit

An AI-powered worldbuilding and consistency management platform designed to help creators maintain coherence across complex fictional universes

AI/MLNLP

🏆 Won 1st Prize

Purpose : SPIT SE Hackathon 2025

Consistency graph

SafeQuest

A mobile safety application designed to help women and children travel more securely by recommending safer routes and providing real-time emergency support

AI/MLMobile Development

🏅 Secured Top 10

Purpose : PICT Hackathon Finals 2025

SafeQuest screenshot

Digital Twin for Alzheimer's Disease Progression and Prediction

Built ensemble ML pipeline combining CatBoost, XGBoost, and ResNet34 for multimodal disease prediction

Machine LearningDeep Learning

Purpose : Mini Project – SEM V

Alzheimer's landing

Technical Expertise

A curated stack of technologies I use to build scalable, intelligent, and responsive systems.

Next.js
Next.js
Production React framework
React.js
React.js
Component-based UI library
TypeScript
TypeScript
Type-safe JavaScript
Tailwind CSS
Tailwind CSS
Utility-first CSS
Material UI
Material UI
React UI components
React Native
React Native
Cross-platform mobile apps
Vite
Vite
Fast frontend tooling
Angular
Angular
Enterprise frontend framework
Sass
Sass
CSS preprocessor
Shadcn
Shadcn
Modern React components
Aceternity UI
Aceternity UI
Animated UI components
Python
Python
AI and ML core
PyTorch
PyTorch
Deep learning framework
FastAI
FastAI
High-level deep learning
Scikit-learn
Scikit-learn
Classical machine learning
NumPy
NumPy
Numerical computing
Pandas
Pandas
Data analysis library
Hugging Face
Hugging Face
Transformer models hub
Llama
Llama
Local LLM inference
Agno AI
Agno AI
Autonomous AI agents
n8n
n8n
Workflow automation
Gemini
Gemini
Multimodal LLM
OpenAI
OpenAI
LLM application APIs
SpaCy
SpaCy
NLP processing
Selenium
Selenium
Browser automation
TensorFlow
TensorFlow
Machine learning framework
Mistral
Mistral
Open-source LLM
Node.js
Node.js
Server-side JavaScript
Express.js
Express.js
Node REST framework
Flask
Flask
Lightweight Python backend
FastAPI
FastAPI
High-performance APIs
Django
Django
Full-stack backend framework
PostgreSQL
PostgreSQL
Relational SQL database
MySQL
MySQL
Relational database
SQLite
SQLite
Embedded database
MongoDB
MongoDB
NoSQL document database
Neo4j
Neo4j
Graph database
ChromaDB
ChromaDB
Vector embeddings database
FAISS
FAISS
Vector similarity search
Git
Git
Version control
GitHub
GitHub
Code hosting
Docker
Docker
Containerized environments
Microsoft Azure
Microsoft Azure
Cloud services
Vercel
Vercel
Frontend deployment
Postman
Postman
API testing
VS Code
VS Code
Code editor
Android Studio
Android Studio
Mobile development IDE
AWS
AWS
Cloud computing services
Netlify
Netlify
Web app deployment
Jupyter
Jupyter
ML experimentation
JavaScript
JavaScript
Web application logic
HTML
HTML
Web page structure
CSS
CSS
Web page styling
Java
Java
Object-oriented programming
SQL
SQL
Database querying
C++
C++
System-level programming

Key Certifications

Industry-recognized credentials showcasing my commitment to continuous learning and mastery of modern technology.