Pre-final year MBA (AI) student at NMIMS Mumbai, building multi-agent LLM systems, computer vision pipelines, and scalable AI backends. GPA 3.75/4.0.
I believe in harnessing the power of artificial intelligence to solve real-world problems, ensuring every project I build delivers meaningful impact.
I'm a pre-final year MBA Tech (AI) student at MPSTME, NMIMS Mumbai, working on multi-agent LLM systems, computer vision, and AI backend engineering. I build things that work — from a custom-trained YOLOv11 detector to LangGraph agent orchestration to RAG chatbots wired into live travel APIs.
I care about systems that ship, not just models that train.
Developed a Sales Performance & Forecasting Dashboard to replace manual reporting with centralised analysis of revenue, product, regional, customer and profitability performance across 16 KPIs. Achieved 6.7% MAPE against a 12% target by building a revenue forecasting workflow and translating sales data into actionable insights for business decision-making.
Streamlined daily delivery scheduling for 20+ orders, reducing fulfilment delays by ~30% through proactive coordination between the sales and delivery teams. Accelerated invoice turnaround by ~25% by standardising documentation templates across 3 departments.
Coordinated event logistics, team operations, and cross-functional collaboration for the chapter's technical initiatives.
Placed in the top 10 of a 24-hour hackathon, qualifying among the leading teams on solution design.
Cleared the college-level selection round and qualified for the national innovation challenge focused on real-world problem solving.
Click any project to read what actually happened on it.
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