Headline

I build AI systems that cut manual work by ~40% — Azure Cloud, SAP & 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