---
title: "Aswin Rm - Member of Technical Staff - AI/ML in Chennai | Tal"
description: "Meet Aswin Rm, Member Technical staff - AI/ML based in Chennai. AI stack includes claude code, claude, and langchain."
image: "https://tal.club/meet/aswin-kumarappa/share-image"
---

# Aswin Rm on Tal

## Headline

Member Technical staff \- AI/ML

## Location

Chennai

## AI stack

claude code

claude

langchain

langfuse

langgraph

mcp

## Work experience

Member of Technical Staff \- AI/ML at athenahealth, Oct 2025 \- Present · 1 yr 1 mo, Chennai, 1\. Designed and implemented a high\-performance Retrieval\-Augmented Generation \(RAG\) system optimized using metadata filtering and structured indexing, significantly improving retrieval speed and contextual accuracy for clinical workflows\. 2\. Engineered a secure RAG architecture using Guardrails, enforcing response validation, hallucination control, and PHI\-safe output generation to ensure compliance with healthcare data standards\. 3\. Built an automated LLM Regression Test Suite to validate medical outputs across multiple models, benchmarking latency, accuracy, and consistency metrics to ensure production reliability\. 4\. Integrated Langfuse for end\-to\-end LLM observability, enabling traceability of prompts, token usage, latency monitoring, and structured evaluation of model performance\. 5\. Developed a GenAI\-powered CPT code automation system that analyzes medical encounter summaries and determines appropriate CPT codes using advanced prompt engineering and structured reasoning pipelines\. 6\. Built an AI\-powered operational intelligence and navigation framework using OpenAI LLMs, LangChain, and LangGraph to automate healthcare insurance workflows, including claims processing, remittance handling, and prior authorization\. 7\. Designed and implemented a centralized monitoring and job orchestration system to manage end\-to\-end workflow lifecycles, capture operational metrics, and generate structured datasets, enabling downstream use cases such as machine learning models, workflow optimization, and intelligent decision\-making systems\.

Software Engineer 1 at Mr\. Cooper, Jan 2024 \- Oct 2025 · 1 yr 10 mos, India, 1\. Automated the ML lifecycle stages for extraction libraries, including data processing, model building, evaluation, and deployment\. 2\. Worked on multi\-worker distributed training using Google Cloud AI Platform Jobs\. 3\. Enhanced the post\-processing logic for both classification and extraction libraries\. 4\. worked on data analysis on model\-predicted results to evaluate model accuracy\. 5\. Leveraged multimodal Gemini LLMs to extract valid information for loan origination, enhancing automation and accuracy\. 6\. worked on enabling packaging for the loan documents using Aspose and java 7\. Improved efficiency and model accuracy using chain\-of\-thought prompting and meta\-prompting methodologies\. 8\. Built a knowledge\-based smart search conversational analytics system for call center agents utilizing RAG architecture with Google AI Agent Builder\. 9\. Utilized the Gemini Pro model to develop an AI\-driven automated scorecard generation system for evaluating call center agent performance by analyzing call transcripts against key segments and predefined questions\. 10\.Integrated a human\-in\-the\-loop mechanism, enabling managers to review, adjust scores, and provide qualitative feedback\. 11\. Developed backend APIs to streamline the smart search system and scorecard system using Python and FastAPI\. 12\. Diagnosed and resolved high\-impact application failures, identifying root causes to eliminate major sources of downtime\.

Software Engineer Trainee at Mr\. Cooper, Jul 2023 \- Dec 2023 · 6 mos, Chennai, Tamil Nadu, India, 1\. Worked in a Proof of Concept \(PoC\) on call classification using XGBoost and BERT\. 2\. Worked on time series forecasting to predict customer calls based on issue patterns\. 3\. Worked on Scikit\-Learn \(LR, SVM, RF, XGB\), and Neural Networks \(LSTM\) for text classification\. 4\. Evaluated different feature extraction techniques \(TF\-IDF, Embeddings, BERT, etc\.\) for text classification\. 5\. Trained various machine learning and deep learning models, including CenterNet, YOLOv7, and CRF, to extract fields from multiple document types \(e\.g\., paystubs, W2s\), increasing model accuracy by over 25%\. 6\. Enabled document OCR for the key\-value entity extraction process\. 7\. Worked on the extraction of key entities and values from vision OCR of mortgage\-related documents using text\-based LLMs\. 8\. Worked on Google Cloud AI Platform for model training and AI Platform Models for model deployments\. 10\. Developed an MLOps model training and testing pipeline using Vertex AI\. 11\. Built prediction wrappers using FastAPI and in\-memory model loading\. 12\. Worked on backend API development for the extraction process using Java and Spring Boot\.

## Education

Bachelor's degree, Information Technology, Velammal College of Engineering & Technology, Madurai

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

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