---
title: "Ayush Maheshwari - AI Engineer in Pune District | Tal"
description: "Meet Ayush Maheshwari, AI Engineer at Protean based in Pune District. AI stack includes anthropic apis, antigravity, and claude code. Explore public work links including github and leetcode."
image: "https://tal.club/meet/ayush-maheshwari-1/share-image"
---

# Ayush Maheshwari on Tal

## Headline

AI Engineer at Protean

## About

I build production\-grade AI systems that solve real business problems at scale\. Over the past 3\+ years, I've architected enterprise AI solutions — from custom RAG frameworks and AI chatbots to OCR pipelines and ML automation systems — that have directly impacted millions of users\. Here's what I've shipped: \-&gt; Reduced cloud infrastructure costs by 60% by building a custom RAG framework with open\-source LLMs and vector databases, replacing expensive vendor solutions while improving response quality by 40%\. \-&gt; Architected an Agentic AI chatbot using Vertex AI, Autogen, and LangChain — achieving 90% intent accuracy and 90% user satisfaction across 10,000\+ daily interactions\. \-&gt; Deployed an OCR pipeline processing 30,000\+ PAN documents daily with 95%\+ accuracy, with GPU\-accelerated preprocessing that improved throughput by 3x\. \-&gt; Automated email response workflows using ML classification models, processing 500\+ emails daily and reducing turnaround time by 70%\. \-&gt; Built an LLM observability platform with OpenTelemetry and Grafana for real\-time monitoring of model performance, drift detection, and cost tracking\. My technical toolkit: \- ML/DL: PyTorch, TensorFlow, Scikit\-learn, XGBoost, Transformers \- LLM/AI: LangChain, RAG, Autogen, Hugging Face, LoRA/QLoRA, Prompt Engineering \- NLP: Text Classification, NER, Sentiment Analysis, Semantic Search \- MLOps: Docker, Kubernetes, MLflow, CI/CD, Model Monitoring \- Cloud: AWS \(SageMaker\), GCP \(Vertex AI\), Azure ML \- Data: PostgreSQL, MongoDB, Qdrant, FAISS, Pandas, NumPy I'm passionate about building AI systems that are not just technically sound but actually work in production — handling real traffic, real edge cases, and real business constraints\. Currently exploring opportunities in ML Engineering, AI Engineering, and Applied AI roles where I can build and scale impactful AI products\. Let's connect — always happy to talk about RAG architectures, LLM optimization, or anything AI\. ayushmaheshwari068@gmail\.com

## Location

Pune District

## AI stack

anthropic apis

antigravity

claude code

claude

codex

cursor

## Work experience

AI Engineer at Protean eGov Technologies Ltd\. \(Formerly NSDL e\-Governance Infrastructure Ltd\.\), Mar 2023 \- Present · 3 yrs 5 mos, Pune, Maharashtra, India, Building production\-grade AI systems for enterprise e\-governance platforms serving millions of users\. Key Contributions: • Architected an enterprise\-grade Agentic AI chatbot using Google Conversational Agent, Vertex AI, and Autogen — achieving 90% intent accuracy and 90% user satisfaction across 10,000\+ daily interactions\. • Developed a custom RAG framework using open\-source LLMs and Qdrant vector database — reducing cloud costs by 60% and improving response quality by 40% over the previous vendor solution\. • Automated email response workflows using TensorFlow and Scikit\-learn — increasing operational efficiency by 45% and reducing turnaround time by 70%\. • Built an LLM observability framework with OpenTelemetry — enabling real\-time performance monitoring and drift detection across production models\. • Designed scalable RESTful APIs in Django supporting 10,000\+ daily requests for analytics and reporting workflows\. • Implemented vector search pipelines with embedding models and Qdrant for semantic document retrieval, powering enterprise knowledge management systems\. • Optimized end\-to\-end ML pipelines — from data preprocessing and feature engineering to model training, evaluation, and deployment — reducing model iteration cycles by 30%\.

Programming Analyst Trainee at Cognizant, May 2022 \- Feb 2023 · 10 mos, India, Full\-stack engineering training with focus on enterprise application development, data visualization, and cloud systems\. • Built interactive data visualization dashboards using Angular and JavaScript — improving BI reporting efficiency by 30% for analytics stakeholders\. • Developed and deployed data processing pipelines for ETL workflows, handling structured and unstructured data from multiple enterprise sources\. • Completed intensive training in microservices architecture, enterprise application development, and cloud systems \(Azure\)\. • Delivered multiple Agile\-based project modules with 99% uptime and on\-time delivery across 3 sprint cycles\.

Data Science &amp; Business Analytics Intern at The Spark Foundation at The Sparks Foundation, Aug 2021 \- Sep 2021 · 2 mos

## Education

Bachelor of Technology \- BTech, Computer Science &amp; Engineering \(AI &amp; ML\), Galgotias university

## Public links

- github: https://github\.com/Ayush0877
- leetcode: https://leetcode\.com/CA3fVfPOCt

[View the original profile](https://tal.club/meet/ayush-maheshwari-1)

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