Builder

Afnan PK

Agentic AI Engineer

AvailableGenAI Engineer | LangGraph, RAG, Multi-Agent Systems | Production AI, not prototypesKerala, India$25/hr

About

I build AI systems that hold up under real traffic, not demos that work once. Most recently I architected a multi-tenant agentic platform at Wiral AI: LangGraph-based agent orchestration, RAG pipelines with Qdrant, async processing with Redis/BullMQ, and observability that cut model costs by 40-50% while serving 300-400 daily live customer interactions. I care about the parts most people skip: evaluation, fallback logic, structured validation, and what actually breaks at scale. Backend-first, Python and Node.js, comfortable owning a system end to end from prototype to production.

Skills

PythonFastAPILangChain/LangGraphRAG pipeline designvector databases (Qdrant; familiar with ChromaDB/Pinecone architecture)prompt engineeringmulti-agent orchestrationhybrid vector retrievalsemantic cachingAWSDockerCI/CDREST API integrationproduction observability and cost optimizationPostgreSQLRedisBullMQ

Experience

Agentic AI Engineer

Wiral AI · Jul 2025 to Present

Engineered a production AI engagement platform for WhatsApp and web channels, supporting paying customers and approximately 300–400 daily customer interactions across sales and support workflows.
Helped shape a multi-tenant AI platform with isolated knowledge bases, prompts, agent behavior, and runtime configurations for multiple client environments.
Orchestrated LangGraph-based multi-agent workflows for enquiry handling, booking, and back-office operations, while reducing user-facing response latency by moving non-critical actions to post-response processing.
Enhanced the RAG stack through knowledge-base ingestion, web content extraction, hybrid vector retrieval, and tenant-level data isolation using Qdrant.
Established asynchronous backend services with Node.js, Redis, and BullMQ for reliable webhook handling, retries, and queue-based processing.
Connected Chatwoot and Evolution API workflows to automate WhatsApp follow-ups, lead capture, and booking journeys.
Introduced monitoring and diagnostics for conversation replay, retrieval tracing, token usage, and cost visibility, contributing to a 40–50% reduction in model cost through caching and model-selection optimizations.

Backend Engineer

WebMavericks Softcoders · Jan 2025 to Jul 2025

Created and maintained Apache Airflow ETL workflows integrating data from 50+ external platforms across marketing, e-commerce, and business systems.

Engineered Python-based ingestion and transformation pipelines using Airflow, AWS S3, and Redshift for analytics and reporting workloads.
Maintained containerized data processing services using Docker to ensure scalable and repeatable pipeline execution.
Delivered REST APIs within a Django/PostgreSQL operations platform, enabling secure multi-role workflows through role-based access control.

Software Engineer

Bridgeon Solutions · Mar 2024 to Jan 2025

Contributed to full-stack application development using Django backend services and React-based frontend interfaces.
Integrated third-party APIs and internal services to streamline application workflows and improve data exchange.
Resolved production bugs and optimized CI/GitHub workflows to improve system stability and release reliability.

Education

INDIRA GANDHI NATIONAL OPEN UNIVERSITY

Bachelor's, Computer Science · Jun 2024 to Jun 2027

Projects

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