---
title: "Tushar Goud - Solution Architect - AI in Pune Division | Tal"
description: "Meet Tushar Goud, AI Solution Architect @ MPCL | Scalable AI Systems | MLOps | Kubernetes, Docker, Linux | CUDA & NVIDIA Stack based in Pune Division. AI stack includes anthropic apis, claude, and hugging face. Explore public work links including github."
image: "https://tal.club/meet/tushar-goud/share-image"
---

# Tushar Goud on Tal

## Headline

AI Solution Architect @ MPCL \| Scalable AI Systems \| MLOps \| Kubernetes, Docker, Linux \| CUDA & NVIDIA Stack

## About

AI Solution Architect / AI Engineer with hands\-on experience designing and deploying scalable, production\-grade AI systems across GPU, Kubernetes, and cloud\-native environments\. I specialize in Generative AI, RAG systems, and GPU\-accelerated inference, with strong expertise in Python, PyTorch, CUDA, TensorRT, Docker, and Kubernetes\. At Micropoint Computers, I’ve built and optimized end\-to\-end AI pipelines \- deploying multimodal LLMs on Kubernetes, improving GPU utilization, and reducing inference latency at scale\. My work spans from model development to MLOps/AIOps, including monitoring, performance tuning, and post\-deployment support for real\-world AI systems handling high request volumes\. I also bring a strong data background, leveraging SQL, Power BI, and analytics to support data\-driven decision\-making\. Beyond project work, I actively contribute to open\-source projects, solve SQL and ML challenges, and conduct Linux & NVIDIA stack training sessions to help teams adopt AI systems confidently\. Always eager to tackle challenging problems in AI systems architecture, GenAI, MLOps, and cloud\-native ML\.

## Location

Pune Division

## AI stack

anthropic apis

claude

hugging face

kimi

notebooklm

ollama

openclaw

opencode

## Work experience

Solution Architect \- AI at Micropoint Computers Pvt\. Ltd\., Nov 2024 \- Present · 1 yr 9 mos, Pune District, Maharashtra, India, • Designed and deployed GPU\-accelerated AI inference systems using NVIDIA CUDA, cuDNN, TensorRT, improving inference latency by 30\-45% on production workloads\. • Built production\-grade RAG pipelines with LLMs and vector databases, deployed on Kubernetes, supporting 1K\+ daily inference requests\. • Containerized AI workloads using Docker and orchestrated them on Kubernetes, implementing GPU scheduling and scaling to improve GPU utilization by \~25%\. • Optimized deep learning models through TensorRT conversion and CUDA tuning, increasing throughput by 1\.5–2× on NVIDIA GPUs\. • Implemented MLOps/AIOps practices \(monitoring, logging, performance tuning\) for reliable, low\-latency AI systems in production\.

Data Analyst at WeAgile Software Solutions Pvt\. Ltd\., May 2024 \- Aug 2024 · 4 mos, Pune Division, Maharashtra, India, • Optimized complex SQL queries and ETL pipelines processing 5M\+ records, improving data extraction efficiency by 10% and accelerating business reporting cycles by 2 days per sprint\. • Developed and maintained interactive Power BI dashboards integrating 3 data sources, enhancing business insight delivery by 12% and supporting data\-driven decisions for 20\+ stakeholders\.

## Education

Bachelor of Technology \- BTech, IT \- Data Science, Ajeenkya D Y Patil University

Elementary Education, kendriya vidyalaya

## Public links

- github: https://github\.com/18Tushar

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

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