---
title: "Mageswaran Meyyappan - Software Development Engineer 1 in Chennai | Tal"
description: "Meet Mageswaran Meyyappan, SDE at Calibraint | From fine-tuned LLMs to multi-agent orchestration - building AI that works based in Chennai. AI stack includes gemini, langchain, and langgraph."
image: "https://tal.club/meet/mageswaran-meyyappan/share-image"
---

# Mageswaran Meyyappan on Tal

## Headline

SDE at Calibraint \| From fine\-tuned LLMs to multi\-agent orchestration \- building AI that works

## About

At Calibraint, I design and deploy multi\-agent orchestrations, build LLM\-powered data analysis tools and AI applications, and lead R&D on scaling AI across the company\. I work end\-to\-end—from prototyping agent flows with CrewAI, powered by fine\-tuned, quantized local LLMs, to integrating RAG pipelines, vector databases, and cloud deployments\. My focus? Creating scalable AI workflows that drive measurable impact and fuel innovation\.

## Location

Chennai

## AI stack

gemini

langchain

langgraph

openai

## Work experience

Software Development Engineer 1 at Calibraint, Feb 2024 \- Present · 2 yrs 3 mos, Chennai, Tamil Nadu, India, • Architect and deploy AI agents with multi‑agent orchestration and tool calling for complex workflows\. • Lead R&D on next‑gen Generative AI apps, leveraging fine‑tuned LLMs and Langfuse for end‑to‑end observability\. • Build, train, and integrate ML models into production\-ensuring data quality, scalability, and seamless system integration\. • Own the full model lifecycle\-data preparation, algorithm tuning, deployment, and continuous improvement\. • Deliver custom AI‑driven software solutions, collaborating with clients to turn requirements into impactful, enterprise‑ready products\.

Software Intern at SOOT, Sep 2022 \- Dec 2022 · 4 mos, Brooklyn, New York, United States, •Software intern specializing in applied AI/ML at an early\-stage startup\. Worked directly with the CTO to develop and introduce a new ML model that powers the core product\. •Developed a Parametric UMAP dimension reduction ML model using TensorFlow\. Scaled and trained the model on over 800 million embeddings – leveraged internal embedding data and Open AI's CLIP dataset for model training\. •Trained a 3\-layer fully connected neural network to reduce the training dataset from 512 dimensions to 2D space\.

Graduate Assistant at New York Institute of Technology, Jan 2022 \- May 2022 · 5 mos, New York, United States, Teaching Assistant for 'Topics in Computer Security', 'Cryptography'\. Assisting professor and the department with various administrative tasks\. Converted numerous PDFs to LaTex files\. Administered Midterms and Final exams\. Assisting their professor with grading papers\.

Database Assistant at ONGC, Feb 2018 \- Mar 2019 · 1 yr 2 mos, Chennai, Tamil Nadu, India, Assisted the design, development, and deployment of the company database\. Administered, supported, and monitored databases by proactively resolving database issues and maintaining servers

## Education

Master of Science \- MS, Computer and Information Sciences, New York Institute of Technology

Bachelor of Technology, Computer Science, SRM IST Chennai

[View the original profile](https://tal.club/meet/mageswaran-meyyappan)

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