Project Portfolio

Projects and Product Vision

Open-source engineering, live product execution, and forward-looking AI product concepts for education-focused global impact.

Total Projects

7

Open Source

3

Live Products

2

In Progress

2

Open Source (Not Live)

Engineering depth with a community-first mindset aligned with long-term contribution goals like GSoC.

3 Projects
Open Source | MLOps | Generative AI

01

AI Chatbot RAG Framework

A scalable Retrieval-Augmented Generation (RAG) framework designed for production environments with optimized embeddings, vector search, and token-efficient generation.

PythonFastAPISentence TransformersQdrant / FAISSDockerKubernetesMinIOCloudflare Tunnel

Key Features

  • Optimized embeddings for low-latency retrieval
  • Hybrid search with vector + cosine similarity
  • Token-efficient LLM response generation
  • Multi-tier model architecture (premium vs free models)
  • Real-time streaming responses
  • Horizontal and vertical scalability
  • Airflow-backed index rebuilding support
Impact: Designed for education and tutoring platforms handling large-scale AI query loads.
DevOps | MLOps | Platform Engineering

02

Cloud Native Deployment Templates

A collection of production-ready Kubernetes and Docker templates for deploying AI and backend systems with CI/CD automation.

KubernetesHelmArgo WorkflowsAzure PipelinesDockerNGINXCloudflare

Key Features

  • Automated CI/CD pipelines
  • Secure TLS and secrets management
  • Scalable microservices architecture
  • Production monitoring support
  • Canary deployments
Impact: Helps startups and engineers deploy AI systems faster with repeatable standards.
AI | Education

03

AI Video Knowledge Extraction

An open-source tool to extract structured knowledge from long-form educational videos such as JEE lectures.

PythonSpeech-to-TextEmbeddingsVector Search

Key Features

  • Timestamp extraction
  • Automatic notes generation
  • Searchable lecture content
  • AI-powered summaries
Impact: Reduces lecture time and improves student learning efficiency.

Live Projects

Real-world products that combine technical delivery with business alignment and measurable user value.

2 Projects
Live Product

01

Kahichan - AI Powered Learning Platform

An AI-driven tutoring platform designed to help students prepare for competitive exams with smart explanations, embeddings, and personalized learning.

Next.jsFastAPILLMsVector DatabasesDocker

Key Features

  • AI explanations for math problems
  • Optimized embeddings for lower operating cost
  • Interactive learning flows
  • Smart tutoring chatbot
  • Scalable platform architecture
Impact: Built to scale for international users and multiple exam systems.
Live Product

02

Sanjeev Sinha Portfolio & Education Platform

A professional education platform for JEE Main and Advanced preparation with memory-based exam discussions and structured content.

Next.jsCloudflareVideo StreamingAI-Assisted Content

Key Features

  • Structured exam solutions
  • Fast-loading educational videos
  • Content optimization for YouTube
  • SEO and organic growth strategy
Impact: Focused on building a global math learning brand.

In Progress

Upcoming products that reflect future-facing product thinking for international career and startup ecosystems.

2 Projects
In Development

01

AI Resume Builder

A smart AI-powered resume builder tailored for global job markets including Japan, Europe, and the US.

Planned Features

  • ATS-optimized resumes
  • Japan-specific resume format support
  • AI writing suggestions
  • Real-time quality feedback
  • Multilingual support
  • PDF + portfolio export
Impact: Helping professionals create world-class resumes in minutes.
In Development

02

AI Interviewer

An intelligent interview preparation platform simulating technical and behavioral interviews.

Planned Features

  • Voice-based mock interviews
  • Technical coding + ML rounds
  • Personalized feedback loops
  • Cultural interview training
  • Japanese job interview preparation
Impact: Preparing candidates for global careers with AI-driven guidance.

Research & Innovation Focus

Core research directions guiding architecture choices and product decisions.

Generative AI in education
Token-efficient LLM architectures
Scalable MLOps pipelines
AI + tutoring business integration
Real-time streaming AI systems

Career Direction

Career Goal

Build scalable AI-powered education platforms and contribute to the global AI ecosystem while working in Japan.

Long-Term Vision

Create an international AI-driven learning company that combines human teachers with intelligent systems.

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