---
title: "Aryan Agarwal - Forward Deployed Engineer | Tal"
description: "Meet Aryan Agarwal, Forward Deployed Engineer at Adopt AI. AI stack includes cursor, hugging face, and langchain. Explore public work links including github."
image: "https://tal.club/meet/aryan-agarwal-2/share-image"
---

# Aryan Agarwal on Tal

## AI stack

cursor

hugging face

langchain

openai

## Work experience

Forward Deployed Engineer at Adopt AI, Aug 2025 \- Present · 9 mos, Bengaluru, Karnataka, India

Machine Learning Engineer at Avaamo, Jan 2025 \- Jun 2025 · 6 mos, Bengaluru, Karnataka, India, • Optimized document ingestion pipeline for LLaMB, improving processing speed by 35% across diverse formats \(PDFs, DOCX, scanned files\), resulting in faster time\-to\-query for enterprise use cases\. • Redesigned chunking and embedding strategies to boost context relevance, improving retrieval accuracy in downstream RAG tasks by 25%\. • Developed domain\-specific prompt templates to minimize hallucinations and increase response accuracy, reducing irrelevant model outputs by 40%

AI Inference Engineer at Sarvam, Jun 2024 \- Sep 2024 · 4 mos, Bengaluru, Karnataka, India, • Implemented and deployed an Azure web\-app for testing all TTS and ASR models, decreasing testing times by around 50%\. Also scheduled GPU workloads on Kubernetes, enabling GPU co\-location\. • Created benchmarks for all internal development models, and integrating it into a pipeline, that automatically published the results into a database\.

Sofware Developer Intern at RocMob, Jun 2023 \- Sep 2023 · 4 mos, Kolkata, West Bengal, India, • Created an app for RV dealers using React and Node\.js making it easier for their customers to understand their vehicle, which helped increase customer satisfaction and brand value by about 20%\. • Part of a cross\-functional team in implementing a new feature using APIs and Web Scraping, resulting in a 25% increase in user engagement within the first quarter\. • Optimized MySQL database queries, reducing page load times by 15% and enhancing overall application performance\.

Controls and Path Planning Member at Formula Manipal, Aug 2022 \- Feb 2023 · 7 mos, Manipal, Karnataka, • Implemented control algorithms such as PID and MPC in Gazebo using ROS and C\+\+ which became the main control unit of the team\. • Optimized path planning algorithms such as RRT and A\-star, which helped improve the overall accuracy and lap times\.

## Education

Bachelor of Technology \- BTech, Information Technology, Manipal Academy of Higher Education

## Public links

- github: https://github\.com/AryAgarwal

[View the original profile](https://tal.club/meet/aryan-agarwal-2)

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