Anant Parmar
ProjectsResumeBlog
ProjectsResumeBlog
GitHubLinkedInTwitter
Anant Parmar•© 2025

Senior AI Engineer

Production AI Systems | RAG, AI-automation & Agentic Workflows

About Me

I'm an AI Engineer at IntegriAI (EU-based startup), where we built a conversational AI platform that achieved 2× user engagement and 80%+ satisfaction for eCommerce brands.

I specialize in:

  • Production-grade RAG systems with LangGraph
  • Agentic workflows and multi-step reasoning
  • AI systems from PoC to Production, architecture and scaling

Previously, I co-founded and ran Infex Labs — a software development agency for 10 years, delivering 50+ projects for clients who collectively generated $18M+ in revenue and reached 300K+ users.

Project Highlights

View all projects →

Built RAG pipeline enabling document embeddings and semantic search for their chatbot platform.

  • •Implemented document chunking strategy for legal documents
  • •Built OpenAI embeddings (ada-002) integration
  • •Developed pipelines for vector storage and retrieval for semantic search using Pinecone
  • •Created FastAPI backend for integration with existing chatbot platform
Impact
  • •Enabled querying across legal documents
  • •Handling arbitrary document lengths beyond GPT-3's 4K token context limits
PythonFastAPIOpenAI EmbeddingsPinecone

Architected configurable AI chatbot platform enabling deployment of specialized counseling bots (mental health, fitness) with customizable model parameters, system prompts, and tonality via unique bot IDs.

  • •Designed multi-tenant architecture with bot ID routing
  • •Built dynamic configuration system stored in PostgreSQL
  • •Implemented prompt templating and composition system
  • •Created parameter management (temperature, model selection, response format)
  • •Custom GPT-like functionality built months before OpenAI released Custom GPTs (November 2023)
Impact
  • •Rapid bot deployment (days vs weeks)
  • •Non-technical stakeholders could configure bots
  • •Pre-market innovation
PythonFastAPIOpenAI APIPostgreSQL

Implemented AI-powered document automation system for GSA Schedule application preparation. Automated extraction of information from source documents, alignment with US federal compliance requirements, and generation of 15+ customized application documents.

  • •Built multi-phase pipeline: document ingestion and intelligent extraction
  • •Implemented compliance requirement mapping for US federal standards
  • •Created LLM-powered content generation with appropriate formal language
  • •Designed template-based document assembly system
  • •Automated generation of 15+ customized application documents
Impact
  • •80% time & cost reduction per application (15+ hours to 3 hours)
  • •Enabled 5x client capacity
PythonOpenAI APIDocument ProcessingTemplate GenerationMySQLLaravel

Articles

View All →
High-Performance Bulk Insert with relationshipsJuly 29, 2025
3 essential tools for your JSON objectsJuly 13, 2023
Using GPT's Function Calling Capability: Stock Information DemoJune 16, 2023
Dealing with incorrect PHP Intelephense errors in your Laravel ProjectJune 6, 2023
How to write clean Controllers in LaravelMay 25, 2023

Open Source

Work History

IntegriAI

AI Engineer

December 2023 - Present

Contributed to OmniAdvisor AI conversational platform, achieving 2× visitor engagement and 80%+ user satisfaction.

Key contributions:

  • Architected SaaS platform with dynamic workflow graphs using LangGraph and agentic routing
  • Developed end-to-end AI customer service assistant with Tool calling, reducing support workload
  • Implemented prompt composability mechanism, in context dynamic prompt generation
  • Advanced prompting techniques like chain-of-thought reasoning, few-shot learning
  • Observability and Evaluation using Ragas and Langfuse
  • Built hybrid retriever PoC using Qdrant, with dense and sparse vectors to improve retrieval accuracy through reranking

Tech Stack:

PythonFastAPILangGraphLangChainOpenAIGoogle GenAIPineconePostgreSQLRagasLangfuseQdrant

Freelance

AI Engineer & Fullstack Developer

April 2023 - November 2023

Built production AI systems for multiple clients & use cases

Key contributions:

  • Core RAG pipeline for legal tech startup (semantic search beyond GPT-3 limits - before longer context window)
  • Configurable AI Chatbot platform with multi-tenant architecture (pre-Custom GPT)
  • AI-powered document automation system for federal contracting (80% time reduction, 15+ hours to 3 hours)
  • Google Sheet add-on with Xero API integration for accounting data processing

Tech Stack:

PythonFastAPIOpenAILangChainLaravelMySQLRedis

Infex Labs

Co-Founder & CTO

April 2013 - March 2023

Co-founded and scaled software development agency, delivering 50+ projects for clients who collectively generated $18M+ in revenue and reached 300K+ users.

Key contributions:

  • Led technical strategy and architecture across ERP, CRM, eCommerce, and SaaS projects
  • Mentored and trained junior and mid-level developers on various technologies
  • Built drip email marketing SaaS with automated campaigns and lead scoring
  • Developed service automation tools enhancing operational efficiency
  • Implemented video processing & watermarking pipeline using FFmpeg and Node.js

Tech Stack:

Full-stack web developmentSaaS platformsAPI integrationsSoftware Architecture

Freelance

Software Developer

June 2011 - April 2013

Developed custom Windows and web applications as hobby projects and early professional projects

Key contributions:

  • Built payroll system with Visual Basic for government clients as part of my freelance work
  • Created game account management console with PHP for my A3 MMORPG private server
  • Binary manipulation tools to modify compiled game environment configuration files with C#

Tech Stack:

C#.NETASP.NETSQL ServerJavaScriptVisual Basic