~/parth.ai_
Available for AI engineering roles

Parth Chhatbar

@parthchhatbar

Building intelligent automation systems and AI agents that replace manual effort with precision. Specialised in LangChain, LangGraph, RAG pipelines, and multi-agent workflows at scale.

~/parth — zsh
$ whoami
> parth_chhatbar
$ cat skills.txt
> langchain, langgraph, n8n,
> python, RAG, voice agents,
> openai, gemini, claude
$ echo $STATUS
> shipping ai that earns revenue
$
scroll↓
◆Python◆LangChain◆LangGraph◆RAG◆n8n◆OpenAI◆Pinecone◆FAISS◆Voice Agents◆GTM◆Python◆LangChain◆LangGraph◆RAG◆n8n◆OpenAI◆Pinecone◆FAISS◆Voice Agents◆GTM◆Python◆LangChain◆LangGraph◆RAG◆n8n◆OpenAI◆Pinecone◆FAISS◆Voice Agents◆GTM
$120K+
MRR Scaled
300+
Callers Replaced by AI
2
Production AI Systems
8.50
B.E. CGPA
01// about

Building AI that earns revenue.

Not just demos — production systems that compound value.

Parth Chhatbar
[location]
India · Mumbai

I am an AI Enthusiast and Generative AI Engineer passionate about crafting scalable AI ecosystems that enhance decision-making and reduce manual effort through intelligent automation.

My expertise lies in integrating large language models with real-time data pipelines and workflow tools like n8n. I effectively bridge the gap between complex AI research and production-ready business solutions.

focus
RAG · AI Agents · Agentic AI
edge
AI × GTM execution
02// projects

What I've shipped.

Selected work across AI engineering, agentic workflows, and growth automation.

[01] Cost Optimization · LangChain

Smart LLM Router

Cost-optimized intelligent LLM routing system that dynamically routes prompts based on complexity.

  • ▸Prompt classification engine using heuristic-based routing logic (token count, keywords, prompt length, and query complexity).
  • ▸Integrated lightweight Hugging Face models for simple queries and Google Gemini for advanced reasoning tasks.
  • ▸Modular backend architecture with separate routing, classification, and model abstraction layers.
  • ▸API-based inference pipelines with secure environment variable management and read-only token authentication.
  • ▸Real-time response analytics: token estimation, latency tracking, model tracing, and estimated API cost monitoring.
  • ▸Interactive Streamlit UI to visualize routing decisions, model selection, and generated responses.
PythonLangChainStreamlitHugging FaceGoogle Gemini
Live DemoGitHub
// impactDynamic cost-optimized routing
[02] Multi-Agent · LangGraph

AI-Powered Recruitment Automation System

End-to-end AI recruitment system that automates candidate screening from JD ingestion to final selection.

  • ▸Multi-agent pipeline (LangGraph) parses resumes, scrapes LinkedIn via Apify, and extracts structured candidate data.
  • ▸Hybrid scoring engine (rule-based + LLM) ranks candidates /10 across skills, experience, projects, portfolio, tools.
  • ▸Portfolio analysis module evaluates real-world work using relevance, quality, and proof (live links).
  • ▸Supabase for structured storage of candidates, scores, templates, and recruiter actions.
  • ▸Streamlit dashboard for JD upload, candidate management, search, and templated email automation.
PythonLangGraphStreamlitSupabaseOpenAIApifyFAISS
Live DemoGitHub
// impact~70% less manual screening
[03] RAG · LangChain

RAG-Powered YouTube Chatbot

Retrieval-Augmented Generation system that lets users chat with the contents of any YouTube video.

  • ▸Built a RAG pipeline using LangChain, FAISS, and OpenAI embeddings.
  • ▸Integrated YouTube transcript extraction to convert spoken video content into raw text.
  • ▸Semantic chunking + embedding generation, vectorized into FAISS for fast similarity search.
  • ▸Dynamic retrieval pipeline fetches relevant transcript sections to ground accurate answers.
PythonLangChainFAISSOpenAI
Live DemoGitHub
// impactLive & deployed
[04] Agentic Workflow · n8n

Automated BA Analyst

End-to-end AI-driven Business Analyst automation that turns meeting transcripts into shippable Jira tickets.

  • ▸Integrates n8n, Google Gemini, Jira, Google Drive, and Google Sheets into one closed-loop system.
  • ▸Converts meeting transcript PDFs into structured user stories and acceptance criteria via AI agents.
  • ▸Multi-agent workflows (Business Analyst, Solution Architect, Project Manager) generate technical solutions, create Jira tickets, and assign priorities.
  • ▸Jira + Google Sheets sync keeps requirements, solutions, and priorities updated in real time.
  • ▸Streamlines requirements-to-delivery, dramatically reducing manual BA effort.
n8nGeminiJiraGoogle DriveGoogle Sheets
Download workflow (.json)
// impactFull requirements lifecycle
[05] Automation · Growth

LeadForge Pro — B2B Lead Generation & Outreach Pipeline

Production-grade lead generation system: a 48-node n8n workflow orchestrating enrichment, validation, scoring, and CRM sync.

  • ▸48-node n8n workflow integrating Apollo, Hunter, ZeroBounce, Phantombuster, HubSpot, and Instantly.
  • ▸API-driven enrichment for firmographic + contact data with structured cleaning and normalization.
  • ▸Decision-based routing with fallbacks for missing contacts and emails.
  • ▸Email waterfall (Apollo → Hunter) + ZeroBounce validation (≥95%) for high deliverability.
  • ▸Custom persona-tier scoring algorithm to identify relevant decision-makers.
  • ▸Idempotent CRM sync (HubSpot) using domain/email upserts to prevent duplicates.
  • ▸Error handling, retries, and status tracking — reliable at scale.
n8nApollo.ioHunter.ioPhantombusterZeroBounceHubSpotInstantly.aiGoogle Sheets
Download workflow (.json)
// impact48-node production pipeline
03// skills

The stack.

Tools I reach for when shipping AI systems and revenue engines.

Languages

</>
PythonSQL

GenAI Frameworks

{ }
LangChainLangGraphLangSmith

AI Automation

⚙
n8nMake.comZapierGoHighLevel

LLMs & APIs

✦
OpenAIGeminiAnthropic ClaudeMistralHugging Face

Vector Databases

▦
FAISSPineconeChroma

Cloud Deployment

☁
AWSAzureGCP

AI Coding Assistants

✺
Claude CodeCursor

Strategy

↗
GTM ExecutionFunnel OptimizationCold OutreachICP & Pricing
04// experience

Where I've built.

Dec 2025 — March 2026

LawSikho

AI Engineer
// Remote
  • ▸Built and deployed a RAG system for internal knowledge access, improving retrieval efficiency across teams.
  • ▸Designed and upgraded the company's hiring automation with AI-based resume screening and candidate evaluation.
  • ▸Pioneered an AI voice agent solution to automate inbound and outbound communication.
  • ▸Replaced 300+ human callers with AI-driven voice agents — significantly reducing operational costs while maintaining engagement quality.
  • ▸Integrated LLMs with real-time workflows and APIs to create scalable, production-ready AI systems.
May 2025 — Nov 2025

dbee

GTM Intern
// Remote
  • ▸Spearheaded end-to-end go-to-market strategy: outbound, funnel optimization, and positioning for an early-stage product.
  • ▸Scaled the product from $0 to $120K+ MRR within 6 months through structured GTM execution.
  • ▸Built and executed cold outreach systems, improving lead conversion and pipeline velocity.
  • ▸Collaborated with founders to refine ICP, messaging, and pricing based on real-time market feedback.
  • ▸Designed and optimized sales funnels, increasing activation and retention rates.
05// education
2021 — 2025

B.E. Computer Engineering

CGPA — 8.50
Diploma

Mechanical Engineering

Score — 87.95%
06// contact

Let's talk.

Open to AI engineering roles, contract work on RAG / agents, and GTM-AI hybrid projects. I reply to every thoughtful message.

Email
chhatbarparth509@gmail.com
Phone
+91 81691 60995
LinkedIn
/in/parth-chhatbar-038177290
GitHub
/parthchhatbar
// availability.json
{
  "status":      "available",
  "looking_for": ["full-time AI roles", "contract / freelance"],
  "response":    "< 24h"
}

// next.step

Let's build something that actually ships.