Open to opportunities

K C

@kc0

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AI Engineer building production LLM, RAG, and agentic systems for secure, low-latency enterprise knowledge.

India

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What I'm looking for

I’m looking to build production LLM/RAG/agent systems with guardrails—shipping scalable APIs that deliver low-latency, reliable results. I want a team that values experimentation, clean engineering, and measurable impact.

I’m an AI Engineer with 1.5+ years of experience designing and deploying production-grade LLM systems, Retrieval-Augmented Generation (RAG) pipelines, and agentic AI architectures. I focus on building scalable AI applications that deliver accurate, secure, and low-latency outcomes.

In my recent role, I engineered production-grade LLM AI bots with guardrails using LangGraph and integrated hybrid vector retrieval pipelines (Qdrant + MongoDB) for enterprise knowledge access. I’ve also built agent workflows that are designed for reliability in real-world usage.

Previously, as a founding engineer (AI) at Infrahive (Techstars’24), I implemented hybrid invoice classification using Gemini-2.5-flash OCR and GPT-4o-mini, and built an MCP-type natural language prompt-based CRM integrating Gmail and Odoo. At Vinci, I built 12+ REST API endpoints end-to-end, including authentication, text-to-speech via ElevenLabs, and payment integration with Razorpay.

My technical foundation is backed by strong academic performance, including an Amazon ML Summer School ’23 spot and a grade A* in my IT4270 major project. I’m motivated by turning complex AI workflows into practical systems that handle edge cases and perform under constraints.

Experience

Work history, roles, and key accomplishments

Current

AI Engineer

Current

Kongu Engineering and Software Services

Dec 2025 - Present (5 months)

Engineered production-grade LLM AI bots with guardrails and LangGraph-based agent workflows, integrating hybrid vector retrieval pipelines (Qdrant + MongoDB) for accurate, secure, low-latency enterprise knowledge access.

Large Language Models LangGraph GuardRails Retrieval Augmented Generation (RAG)Qdrant MongoDB

Founding Engineer (AI)

Infrahive

Feb 2025 - Nov 2025 (9 months)

Implemented hybrid invoice classification using Gemini-2.5-flash OCR and GPT-4o-mini. Built an MCP-type natural-language prompt CRM integrating Gmail and Odoo, and developed an inbound/outbound sales agent using ElevenLabs.

GPT 4o Invoice Classification Prompt Engineering MCP Style Agents Odoo ElevenLabs Sales Automation

Founding Engineer

Vinci

Aug 2024 - Dec 2024 (4 months)

Built 12+ REST API endpoints including authentication, text-to-speech (ElevenLabs), voice selection/conversion, Razorpay payments, character avatar selection, lipsync synchronization, and job status tracking with robust edge-case handling. Reduced overall GCS usage by 33–50% and improved API latency by 30%, while enabling storage/retrieval for 10+ URLs without redundant avatar pre-saves.

REST APIs Authentication Voice Conversion Razorpay

AI Intern

InnvuvAI

Jan 2024 - Jul 2024 (6 months)

Developed the backend for Multi-Agent Teams for ESG using LangGraph, focusing on agentic capabilities. Implemented an agentic RAG agent for document-based interactions using LanceDB, achieving sub-20ms latency (down to 1ms).

LangGraph Agentic RAG LanceDB Document Interaction Systems Backend Development

Product Intern

Spacenos Labs

Apr 2024 - Jun 2024 (2 months)

Automated web scraping pipelines using gpt-3.5-turbo and revamped the Shopify website, driving 938 new user visits.

GPT 3.5 Turbo Shopify Data Extraction Automation Pipeline Development

Education

Degrees, certifications, and relevant coursework

Manipal University Jaipur

Bachelor of Technology, Information Technology

2020 - 2024

Grade: 7.96/10

Activities and societies: Minor: Data Science. Grade A* in IT4270 (Major Project). Selected for Amazon ML Summer School ’23. Secured rank 102 in FIZIKA’21.

Completed a BTech at Manipal University Jaipur with a minor in Data Science, finishing with CPI 7.96/10.