Hey! I'm
SANJU
Full-Stack Web Developer & AI Engineer
I build end-to-end web applications using <MERN/> stack, focusing on Clean architecture, Scalable Backend Systems and Intuitive User Experiences. Alongside full-stack development, I design and integrate <AI/> driven features - from intelligent data processing and automation to predictive insights - solving real-world problems with practical, production-ready solutions.
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STATS
Here are some fun facts about the code I have worked on.
Here are some fun facts about the code I have worked on.
Most Recent Commit
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Portfolio • ff70ec • 1d ago
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Monthly Commits
0.42M
Lines of Code
Lines of Code
37.3M
Code Bytes
Code Bytes
14
Languages
Languages
54
Repositories
Repositories
501
Commits
Commits
761
Contributions
Contributions
47
Pull Requests
Pull Requests
Last updated ·
BEYOND THE NUMBERS
Here’s what my code looks like when measured in the real world.
Here’s what my code looks like when measured in the real world.
155.2M
Bytes of Code
Bytes of Code
47.7K
Pages
When printed on 0.1mm thick office paper
Pages
When printed on 0.1mm thick office paper
2138%
Apollo 11 Codebase
The Apollo 11 Guidance Computer (AGC) software was approximately 145,000 lines of code.
Apollo 11 Codebase
The Apollo 11 Guidance Computer (AGC) software was approximately 145,000 lines of code.
310 Times
Linux Kernel (v0.0.1)
The very first version of the Linux Kernel (v0.01) released by Linus Torvalds in 1991 was only about 10,000 lines of code.
Linux Kernel (v0.0.1)
The very first version of the Linux Kernel (v0.01) released by Linus Torvalds in 1991 was only about 10,000 lines of code.
10.3 Times
Windows 3.1
Windows 3.1, the OS that brought PCs into the mainstream in the early 90s, was roughly 300,000 lines of code.
Windows 3.1
Windows 3.1, the OS that brought PCs into the mainstream in the early 90s, was roughly 300,000 lines of code.
124%
Mars Rover
The software that drives the Curiosity Rover on Mars is composed of roughly 2.5 million lines of C code.
Mars Rover
The software that drives the Curiosity Rover on Mars is composed of roughly 2.5 million lines of C code.
103
Floppy Disks
The gold standard for a 3.5-inch High-Density floppy disk is 1.44MB. 148.01MB/1.44MB Per Disk = 102.8 Disks
Floppy Disks
The gold standard for a 3.5-inch High-Density floppy disk is 1.44MB. 148.01MB/1.44MB Per Disk = 102.8 Disks
77.5 km
Length
At highway speeds, it would take you almost an hour to drive the length of my code. Totaling 77.5 km, it outruns the distance of 1.8 Marathons.
Length
At highway speeds, it would take you almost an hour to drive the length of my code. Totaling 77.5 km, it outruns the distance of 1.8 Marathons.
2069 Hours
Reading
To completely read 155.2M bytes at 250 words per minute.
Reading
To completely read 155.2M bytes at 250 words per minute.
SKILLS
PROGRAMMING
JavaScript
TypeScript
Python
C
C++
FRONTEND · CORE
HTML
CSS
FRONTEND · FRAMEWORKS
React.js
Next.js
Vue.js
FRONTEND · STYLING
Bootstrap
Tailwind CSS
BACKEND
Node.JS
Express
Flask
socket.io
Jest
DATABASE
SQL
MySQL
PostgreSQL
MongoDB
Prisma
AI · ML
Tensorflow
Keras
LLMs
LangChain
Prompt Engineering
DEVOPS · TOOLING
Git
CI/CD
Unix/Linux
Shell
Scripting
SYSTEM DESIGN
Sentry
Posthog
Inngest
TabAuth.in
World's first 2FA+TOTP enabled browser security extension.
TabAuth.in is a lightweight browser extension that lets users lock sensitive tabs and require re-authentication before regaining access, helping prevent unauthorized viewing during tab switches or screen sharing.
HTML CSS Node.JS Vite
World's first 2FA+TOTP enabled browser security extension.
TabAuth.in is a lightweight browser extension that lets users lock sensitive tabs and require re-authentication before regaining access, helping prevent unauthorized viewing during tab switches or screen sharing.
Instantly lock and unlock any active browser tab
Protects sensitive content from accidental or unauthorized access
Implements 2-factor authentication (2FA) using time-based one-time passwords (TOTP) for secure re-authentication
HTML CSS Node.JS Vite
Install now on all major browsers
Recruitify
Advanced Multi-Agent AI Recruitment Platform
Launch Demo →
An advanced multi-agent AI recruitment platform designed to automate resume parsing, candidate ranking, and intelligent outreach workflows at scale.
React.js LLMs Pinecone LangChain RAG 🤗 HuggingFace
Advanced Multi-Agent AI Recruitment Platform
NEW!✨ Interactive Guided Tour Available
Use a built-in step-by-step walkthrough designed for recruiters and investors. Discover all key features in under 100 seconds with a guided walkthrough.
An advanced multi-agent AI recruitment platform designed to automate resume parsing, candidate ranking, and intelligent outreach workflows at scale.
Developed a production-ready recruitment platform utilizing React frontend and high-throughput Python backend to ingest, parse, and automate end-to-end hiring workflows.
Engineered a training pipeline to fine-tune a BERT model (with BIO tagging) on synthetic dataset, achieving a 98% entity extraction rate.
Architected an intelligent AI assistant using LangChain that maps natural language to tools, orchestrating loops and communications.
React.js LLMs Pinecone LangChain RAG 🤗 HuggingFace
Doctor Assistant
AI-powered clinic management for modern healthcare.
Launch Demo →
Doctor Assistant is a multi-tenant platform that digitizes clinic operations, from appointment booking to prescription delivery, while improving efficiency and patient experience.
Next.js Express Jest PostgreSQL Prisma Sentry Posthog socket.io Inngest
AI-powered clinic management for modern healthcare.
NEW!✨ Interactive Guided Tour Available
Use a built-in step-by-step walkthrough designed for recruiters and evaluators.
Discover all key features in under
3 minutes.
Doctor Assistant is a multi-tenant platform that digitizes clinic operations, from appointment booking to prescription delivery, while improving efficiency and patient experience.
Processes and manages appointments, patient records, prescriptions, and live queue updates in a unified workflow.
Real-time token queue system with WhatsApp-based notifications to reduce wait times and streamline patient flow.
Enterprise-grade architecture with RBAC, audit logging, tenant isolation, PDF prescription generation, and automated WhatsApp delivery for secure and scalable clinic operations.
Next.js Express Jest PostgreSQL Prisma Sentry Posthog socket.io Inngest
VIEW ALL PROJECTS
Explore all the major projects I have developed till date with live demonstrations
Explore all the major projects I have developed till date with live demonstrations
Click Anywhere
EXPERIENCE
I spearheaded the development and optimization of backends for robust fintech applications. By focusing on database efficiency and code optimization, I successfully improved API response times while maintaining strict data handling security measures critical to financial platforms.
Working alongside cross-functional teams, I collaborated closely to build scalable modules that enhanced overall system performance. This collaborative effort ensured that technical upgrades directly translated into a smoother, more reliable user experience.
Node.JS Express React.js MongoDB Next.js
Delivered 95% of core SaaS features and shipped 2 weeks ahead of schedule, building a high-performance React and Next.js frontend with a 40% UI/UX improvement.
Built a scalable Node.js/Express backend with MongoDB, supporting 1,000+ concurrent users and secure revenue sharing Razorpay Split Payments.
Collaborated directly with clients using Agile practices to deliver a production-ready MVP in 14 days.
Node.JS Express React.js MongoDB Next.js Razorpay
FEBRUARY 2025 - MARCH 2025
As an AI Intern at TechSaksham, I developed and deployed a production-ready AI resume ranking system using Python, Scikit-learn & NLP.
The system analyzed 1,000+ resumes per cycle, reducing manual screening effort and improving recruitment efficiency by 40%.
By automating candidate data extraction and relevance scoring, it improved selection accuracy by 25%, enabling faster and more reliable hiring decisions.
Python Tensorflow NLP Scikit-learn
As a Full Stack Developer Intern at Unplicate, I built end-to-end web applications using Next.js, translating concepts into fully functional systems.
I worked directly with clients & independently engineered MVPs for two major greenfield projects from scratch: a Clinic Assistant and a brand sentiment monitor. I managed the entire lifecycle of these applications, including frontend interfaces, backend APIs, and database architecture.
Taking these MVPs from initial concept to deployment proved my capacity to handle complex technical challenges.
Node.JS Express PostgreSQL Next.js Prisma Sentry Posthog socket.io Jest
As the Founder and sole developer of TabAuth.in, I designed, built, and shipped the world’s first granular tab-locking 2FA browser extension, taking the product from idea to production independently.
I engineered the complete system end-to-end, including secure authentication flows and extension architecture to ensure seamless, real-world usability.
I also manage deployment, store compliance, and continuous improvements, demonstrating strong ownership, security-first thinking, and full-stack execution.
HTML CSS Node.JS Vite
JULY 2025 - AUGUST 2025
Designed a structured Python CLI for Google Gemini with a menu-driven workflow, automating 20+ complex internal tasks.
Integrated AI capabilities using prompt engineering and Python scripting to streamline document processing and analysis.
Reduced average task execution time by 30 and improved overall team efficiency by 25 within two months.
Python Tensorflow NLP Prompt Engineering
Developed strong foundations in Natural Language Processing (NLP) with a focus on text understanding and linguistic analysis.
Applied multiple machine learning algorithms to process and analyze language and sentiment data.
Built a sentiment analysis model for Playstore reviews, leveraging NLP techniques to uncover user insights & focused on enhancing AI-driven solutions for real-world applications.
Python Tensorflow NLP Scikit-learn
Software Development Engineer
BlueStock Fintech
JANUARY 2026 - FEBRUARY 2026I spearheaded the development and optimization of backends for robust fintech applications. By focusing on database efficiency and code optimization, I successfully improved API response times while maintaining strict data handling security measures critical to financial platforms.
Working alongside cross-functional teams, I collaborated closely to build scalable modules that enhanced overall system performance. This collaborative effort ensured that technical upgrades directly translated into a smoother, more reliable user experience.
Node.JS Express React.js MongoDB Next.js
Full Stack Developer
Freelance
AUGUST 2025 - PRESENTDelivered 95% of core SaaS features and shipped 2 weeks ahead of schedule, building a high-performance React and Next.js frontend with a 40% UI/UX improvement.
Built a scalable Node.js/Express backend with MongoDB, supporting 1,000+ concurrent users and secure revenue sharing Razorpay Split Payments.
Collaborated directly with clients using Agile practices to deliver a production-ready MVP in 14 days.
Node.JS Express React.js MongoDB Next.js Razorpay
AI Intern
TechSaksham
in collaboration with Microsoft & SAPFEBRUARY 2025 - MARCH 2025
As an AI Intern at TechSaksham, I developed and deployed a production-ready AI resume ranking system using Python, Scikit-learn & NLP.
The system analyzed 1,000+ resumes per cycle, reducing manual screening effort and improving recruitment efficiency by 40%.
By automating candidate data extraction and relevance scoring, it improved selection accuracy by 25%, enabling faster and more reliable hiring decisions.
Python Tensorflow NLP Scikit-learn
Mar'26 - Jun'26
Full Stack
Dev.
Unplicate
Full Stack
Dev.
Unplicate
Jan'26 - Feb'26
SDE
BlueStock Fintech
SDE
BlueStock Fintech
Since Jan'26
Founder
TabAuth.in
Founder
TabAuth.in
Since Aug'25
Full Stack Dev.
Freelance
Full Stack Dev.
Freelance
Jul'25 - Aug'25
AI/PE Intern
VaultOfCodes
with Google
AI/PE Intern
VaultOfCodes
with Google
Feb'25 - Mar'25
AI Intern
TechSaksham
with Microsoft & SAP
AI Intern
TechSaksham
with Microsoft & SAP
Dec'24 - Jan'25
AI/ML Intern
Edunet
with IBM SkillsBuild
AI/ML Intern
Edunet
with IBM SkillsBuild
Full Stack Developer
Unplicate
MARCH 2026 - JUNE 2026As a Full Stack Developer Intern at Unplicate, I built end-to-end web applications using Next.js, translating concepts into fully functional systems.
I worked directly with clients & independently engineered MVPs for two major greenfield projects from scratch: a Clinic Assistant and a brand sentiment monitor. I managed the entire lifecycle of these applications, including frontend interfaces, backend APIs, and database architecture.
Taking these MVPs from initial concept to deployment proved my capacity to handle complex technical challenges.
Node.JS Express PostgreSQL Next.js Prisma Sentry Posthog socket.io Jest
Founder | Developer
TabAuth.in
JANUARY 2026 - PRESENTAs the Founder and sole developer of TabAuth.in, I designed, built, and shipped the world’s first granular tab-locking 2FA browser extension, taking the product from idea to production independently.
I engineered the complete system end-to-end, including secure authentication flows and extension architecture to ensure seamless, real-world usability.
I also manage deployment, store compliance, and continuous improvements, demonstrating strong ownership, security-first thinking, and full-stack execution.
HTML CSS Node.JS Vite
AI/PE Intern
VaultOfCodes
in collaboration with GoogleJULY 2025 - AUGUST 2025
Designed a structured Python CLI for Google Gemini with a menu-driven workflow, automating 20+ complex internal tasks.
Integrated AI capabilities using prompt engineering and Python scripting to streamline document processing and analysis.
Reduced average task execution time by 30 and improved overall team efficiency by 25 within two months.
Python Tensorflow NLP Prompt Engineering
AI/ML Intern
IBM Edunet
DECEMBER 2024 - JANUARY 2025Developed strong foundations in Natural Language Processing (NLP) with a focus on text understanding and linguistic analysis.
Applied multiple machine learning algorithms to process and analyze language and sentiment data.
Built a sentiment analysis model for Playstore reviews, leveraging NLP techniques to uncover user insights & focused on enhancing AI-driven solutions for real-world applications.
Python Tensorflow NLP Scikit-learn
LET'S BUILD TOGETHER
I'm currently open to internships and select freelance work.
If you’re building something ambitious and need a developer who cares about execution and impact, let’s connect.
I'm currently open to internships and select freelance work.
If you’re building something ambitious and need a developer who cares about execution and impact, let’s connect.
SANJU
Full Stack Developer | AI EngineerI enjoy turning ideas into fast, intuitive experiences. Let's talk if you have a clear vision and want to build something meaningful.
2026 Sanju. All Rights Reserved.