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sidharth-vijayan/README.md

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typing intro

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sidharth@earth:~$ whoami
> 4th-year B.Tech CSE (AI & DS) undergrad @ MIT-WPU, Pune

sidharth@earth:~$ cat experience.log
> [OK]  AI Engineering Intern @ Sparkline Equipments
> [OK]  Built sparkline-assistant — in-house LLM + RAG system
> [OK]  Shipped gateway, ingestion, retrieval, agents, tools & routing modules
> [..]  Contributing to open source across multiple repos
> [..]  Looking for AI/ML/SDE internships

sidharth@earth:~$ sudo hire sidharth
> Permission granted. Scroll down for evidence.

Warning

Prolonged exposure to this profile may cause a sudden urge to open a pull request or a job offer. Proceed responsibly.

⚡ The Lore

timeline
    title Journey So Far
    2023-24 : Started B.Tech CSE (AI & DS) @ MIT-WPU, Pune
    2025 : Built AI/ML & full-stack portfolio projects : Went deep on FastAPI, LangChain, RAG
    2026 : AI Engineering Intern @ Sparkline Equipments : 2 IEEE Publications : GSSOC Contributor.
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💼 Experience

AI Engineering Intern — Sparkline Equipments Built sparkline-assistant, an in-house multi-package enterprise LLM + RAG platform spanning gateway, ingestion, retrieval, agents, tools, routing & evaluation components.

🚀 Featured Projects

🤖 PolyRAG

Multi-Agent Retrieval-Augmented Generation System Built an advanced RAG framework that leverages multiple specialized AI agents to retrieve, reason over, and synthesize information from text, tables, and images.

Highlights

  • Multi-agent architecture for intelligent query handling
  • Hybrid retrieval across structured and unstructured data
  • Context-aware document understanding and response generation
  • Source-grounded answers with improved retrieval accuracy
  • Scalable pipeline for enterprise knowledge bases

Tech Stack: Python · LLMs · RAG · Vector Databases · FastAPI · Multi-Agent Systems

📄 CareerCopilot AI

AI-Powered Resume Intelligence & ATS Optimization Platform Developed a full-stack platform that helps job seekers optimize resumes, improve ATS compatibility, and receive personalized career recommendations using AI.

Highlights

  • Resume-to-job-description matching and ATS scoring
  • AI-generated feedback and optimization suggestions
  • Keyword gap analysis and skill recommendations
  • Automated cover letter generation
  • Interactive analytics dashboard with resume insights

Tech Stack: Next.js · TypeScript · PostgreSQL · Supabase · Prisma · OpenAI API · Tailwind CSS

🛠️ The Arsenal

tech stack

  • LangChain · Scikit-learn · spaCy · Celery · WebSockets · pgvector · Supabase · Prisma · REST APIs

📈 Numbers I'm Proud Of

GitHub stats Top languages

Streak stats

🐍 The Snake Feeding On My Commits

contribution snake

📡 Get In Touch

Portfolio LinkedIn Email LeetCode

"If at first you don't succeed, call it version 1.0"

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  1. PolyRAG PolyRAG Public

    A Multi-Agent Multimodal Retrieval-Augmented Generation (RAG) system that can answer user queries by retrieving information from multiple data sources such as PDF/text documents, Excel spreadsheets…

    Python

  2. careercopilot careercopilot Public

    AI-powered career platform — resume parsing, cover letter generation & application tracking. Built with Next.js 16, Supabase, Prisma, and Google Gemini.

    TypeScript

  3. crop-disease-detection crop-disease-detection Public

    Forked from arya20072004/crop-disease-detection

    An end-to-end crop disease detection system using CNN, LSTM, NASA API and Flutter

    Jupyter Notebook

  4. flowboard flowboard Public

    A full-stack AI-powered task management platform with real-time collaboration, semantic search, and intelligent automation.

    Python

  5. Web-Scrapping-and-dashboard Web-Scrapping-and-dashboard Public

    Forked from khushigulgulia/Web-Scrapping-and-dashboard

    A Java Spring Boot application that scrapes real product data live from the web and applies a multi-dimensional risk analysis engine to every scraped product.

    Java

  6. realtime-db-updates realtime-db-updates Public

    A backend system that pushes live database changes to connected clients — no polling required. Built with Python, FastAPI, PostgreSQL, and WebSockets.

    Python