Hewlett Packard Enterprise

Research and Development

Software Engineer

Jun 2023 -

✅ Optimized the Job Scheduling Service by converting JSON payloads to Protocol Buffers for faster serialization and deserialization improving task execution speed by 65%

✅Enhanced the Resource Management Service by replacing iterative database queries with a bulk query and integrating Redis caching for frequently accessed data, reducing response time from 600ms to 250ms, achieving a 58% performance improvement.

Hpe greenlake compute ops

HPE GreenLake for Compute Ops Management is a secure, cloud-based platform that simplifies and automates server lifecycle operations across diverse environments—from data centers to edge locations. It offers centralized management, enabling IT administrators to monitor, manage, and optimize their compute infrastructure through a unified web interface.

My Projects

Product I Built

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python, fast api, postgresql

microservices, kafka, redis

aws, docker, kubernetes

Testimonials

What colleague Says About Tabishmazhari

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test- Follower Growth

test- Increase Sales

test- Total Engagement

test- Income growth

Rajat upadhyay

“I am delighted to recommend tabish as an exceptional engineer with remarkable ability to solve complex problems.Tabish has repeatedly demonstrated his knack for breaking down complex challenges and devising elegant solutions.He has mentored me in simplifying various backend solutions in python and learning system integrations.” Linkedin

Rajbir Kaur

“I know Tabish from BlueYonder. He is one of the most intelligent person I met in my life. He worked for building tools & solutions for Transport Management System. He is way too good in Problem Solving, building APIs & innovation. Apart from this he is a very good mentor & helpful to the team.” Linkedin

Sivaraj Veluchamy

I was particularly impressed by Tabish's ability to handle even the toughest tasks—effortlessly. He made a dramatic difference in the productivity level of our team. He has good knowledge in cloud and opensource technologies. Tabish would be an asset to any team. I wish him all the very the best for his future endeavors. Linkedin

Amol Aggarwal

Tabish worked with me in Wipro in same team. He was hard working and extremely motivated to learn new technologies. He finished his assigned tasks way ahead of time. Also, he has a sharp mind and could grab difficult concepts very easily. He will be great asset to any team he goes to and I highly recommend him for his technical skills and great analytical mind. Linkedin

Smarter AI

AI, But Make It Smarter 🤖🚀

Lately, I’ve been deep into Generative AI, building AI agents, fine-tuning models, and playing with RAG & LangChain to make AI more than just a chatbot. It’s all about creating context-aware, real-time, and adaptive AI that actually gets what you need.

From automating workflows to pushing LLMs beyond their limits, I’m exploring how AI can do more than just generate text—it can think, retrieve, and respond like never before.

TabishMazhari

linkedin

GitHub

TabishMazhari

linkedin

GitHub