---
title: "ZENUS DASH - Data Specialist in Greater Bengaluru Area | Tal"
description: "Meet ZENUS DASH, I build AI systems that cut manual work by ~40% — Azure Cloud, SAP & NLP/LLM | 2026 CS Grad open to work based in Greater Bengaluru Area. AI stack includes antigravity, claude code, and claude. Explore public work links including github."
image: "https://tal.club/meet/zenus-dash/share-image"
---

# ZENUS DASH on Tal

## Headline

I build AI systems that cut manual work by \~40% — Azure Cloud, SAP &amp; NLP/LLM \| 2026 CS Grad open to work

## About

As an AIML Developer at Infosys Springboard, contributed to the development of "Safety Eye," an NLP and LLM\-powered system designed for workplace hazard detection on construction sites\. Played a key role in leading the model architecture component of a cross\-functional team of 15 engineers, delivering a functional prototype within a 5\-month sprint\. Designed an end\-to\-end NLP pipeline to process real\-time data and flag safety violations, reducing manual monitoring by approximately 40% in simulation\. Completed Bachelor of Technology in Computer Science and Engineering from Biju Patnaik University of Technology, with an expected graduation date of April 2026\. Gained hands\-on experience deploying AI models on Azure Cognitive Services during a Microsoft internship, automating data ingestion pipelines to enhance efficiency\. Core proficiencies include NLP, LLM, role\-based access control \(RBAC\), and Azure Data Factory\. Interested in building real\-world AI/ML systems that drive actionable outcomes\.

## Location

Greater Bengaluru Area

## AI stack

antigravity

claude code

claude

cursor

deepseek

gemini

## Work experience

Data Specialist at Infosys Springboard, Jul 2025 \- Nov 2025 · 5 mos, Managed end\-to\-end delivery of a computer vision safety compliance system, owning sprint planning, scope control, and quality milestones; tracked KPIs \(mAP, precision, recall, safety violation rates\) via interactive Power BI dashboards to enable data\-backed decisions for stakeholders\. Oversaw the full ML lifecycle — data preparation, model training, and evaluation — while maintaining system architecture docs, data flow diagrams, and test outcome reports; facilitated standups and cross\-functional check\-ins with a globally distributed team\. Monitored real\-time system performance and automated data pipelines using Cloud Operations Suite, proactively identifying and troubleshooting processing issues\.

AI Azure Intern at Microsoft, Jun 2025 \- Jul 2025 · 2 mos, Remote, Built and deployed 4 AI models on Azure Cognitive Services in a 4\-week sprint — \~1 shipped project per week Automated data ingestion pipelines with Azure Data Factory, applying IaC and CI/CD to cut \~manual data\-handling steps by an estimated 30% Presented technical outcomes to mentors and peers; singled out for documentation quality — the deliverable other interns' work got measured against

Python Developer at Cognifyz Technologies, May 2024 \- Jun 2024 · 2 mos, Remote, Automated file manipulation tasks \(batch renaming, format conversion, data extraction\) using Python, cutting \~manual processing time by an estimated 30–40% Used Pandas and Matplotlib to clean, structure, and visualize datasets, turning raw files into \~readable reports/charts for review Completed a range of Python\-based automation and data\-handling tasks across a 2\-month remote internship, working independently with minimal supervision

## Education

Bachelor of Technology, Computer Engineering, Trident Academy of Technology \(TAT\), Bhubaneswar

Bachelor of Technology, Computational Science, Biju Patnaik University of Technology, Odisha

## Public links

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

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

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