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KisuZoid/README.md

Hi, I'm Kislay Anand πŸ‘‹

Backend Engineer & AI/ML Systems Builder β€” Retrieval, LLM Fine-Tuning, Production Pipelines

Portfolio LinkedIn GitHub Email


About Me

I build backend systems and AI applications that hold up in production β€” not just demos. Currently an AI Automation Intern at AppSynergies, and building Nyaya Vidhi, a live RAG-based legal AI assistant serving real users.

My work sits at the intersection of:

  • 🧠 RAG pipelines & domain-specific LLM fine-tuning (QLoRA/PEFT)
  • πŸ—οΈ Backend architecture for scalable, real-world systems
  • πŸ”Ž Vector retrieval & semantic search at production scale
  • βš™οΈ Workflow automation connecting LLMs to business systems

🧰 Tech Stack

Languages

Java Python JavaScript SQL

AI / ML & GenAI

PyTorch Scikit-Learn Hugging Face LangChain LangGraph LangSmith

Web & Backend

Node.js Express FastAPI React REST APIs

Databases

PostgreSQL pgvector Pinecone MongoDB


πŸš€ Featured Work

RAG Β· LangChain Β· Qwen3-8B (QLoRA) Β· Node.js Β· FastAPI Β· React Β· Pinecone β€” Oct 2025 – Present

A production, SEO-optimized AI legal assistant built on a RAG pipeline over 4,000+ legal document chunks.

  • Designed a hybrid vector retrieval architecture (PostgreSQL/pgvector + Pinecone) with category filtering, reranking, and multilingual support
  • Fine-tuned Qwen3-8B with QLoRA on a 10GB+ legal dataset to improve domain-specific accuracy
  • Integrated Node.js + FastAPI backend with a React frontend

Node.js Β· Express.js Β· React Β· PostgreSQL Β· Supabase β€” 2025

A full-stack platform for managing clubs, events, and ticketing.

  • JWT authentication with role-based access control
  • QR-based attendance with one-time validation and duplicate prevention
  • Real-time attendance tracking across club and event workflows

React Β· Express.js Β· PostgreSQL Β· Supabase β€” Freelance, Apr – May 2026

End-to-end food ordering system supporting live menu updates and order tracking.

  • Handled day-scoped orders, payment status, and revenue tracking
  • Supported ~100–200 orders/day with 20–30 concurrent users

πŸ’Ό Experience

Role Organization Duration
AI Automation Intern AppSynergies (Full-Time Internship, Remote) Jun 2026 – Present
Full Stack Developer Balaji Momos (Freelance) Apr 2026 – May 2026
Open Source Contributor Ganga Project 2024

At AppSynergies, I build and deploy production-scale AI-calling and automation workflows in Python, integrating LLMs with business systems, orchestrating pipelines via n8n/Make.com, and managing CRM integrations (Zoho CRM, GoHighLevel).


πŸ“– Research & Publications

AI-Based Stock Market Analysis β€” IJARESM, Co-Author, April 2025 Peer-reviewed research on ML-driven stock market analysis. View Certificate β†’


πŸŽ“ Education

VIT Bhopal University β€” B.Tech, Computer Science & Engineering (AI/ML Specialization) Expected May 2027


πŸ“œ Certifications

  • Applied Machine Learning in Python β€” University of Michigan, Coursera β†—
  • Google IT Support Professional Certificate β€” Google β†—
  • Introduction to Internet of Things (IoT) β€” NPTEL, IIT Kharagpur β†—

πŸ“Š GitHub Stats


πŸ“« Reach me at hello@kisuzoid.in

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