Recent Participation

Google Solution Challenge 2026 – Build with AI

Developed ResAlloc – Smart Resource Allocation and Workforce Intelligence System, an AI-powered cloud-native platform designed to solve the challenge of fragmented and unstructured community data that delays decision-making in critical situations.

Key Features:
Converts unstructured reports into structured task data using Large Language Models (LLMs)
Predicts urgency and risk using Machine Learning models
Automatically assigns the most suitable volunteer or resource to tasks in real-time

Dual-Use Applications:
NGO & Disaster Response – Volunteer coordination
Enterprise & IT – Intelligent workforce task allocation

The objective of ResAlloc is to reduce manual delays and enable faster, AI-driven decision-making across social and organizational environments.

Project Links:
Live Prototype: View
GitHub Repository: View

AMD Slingshot – Campus Days | Pune

Participated in AMD Slingshot – Campus Days, a national startup idea challenge focused on developing AI-powered solutions for real-world problems.

The event provided an excellent opportunity to explore innovation, entrepreneurship, and AI-driven problem-solving through expert sessions, mentorship, and collaboration with fellow innovators.

Throughout the event, I gained valuable insights into designing impactful AI applications, transforming ideas into scalable solutions, and understanding startup-oriented product development.

Project Link:
GitHub Repository: View

NASSCOM Developer Workshop & Agentic AI Hackathon

Contributed to the Developer Workshop & Agentic AI Hackathon organized by NASSCOM through the hands-on prompt-to-production repository contribution challenge.

My work focused on improving AI reliability, prompt engineering, validation pipelines, and production-ready AI systems by addressing critical failure modes such as:
Taxonomy drift
Hallucinated outputs
Cross-document blending
Silent aggregation failures
Condition dropping in summaries
Severity blindness
Missing explainability and validation

Implemented Use Cases:
UC-0A – Complaint Classifier
UC-0B – Policy Summarization System
UC-0C – Budget Growth Analysis
UC-X – Ask My Documents

Key Learnings:
Building reliable and explainable AI systems
Validation-first AI engineering
Safe AI workflows with deterministic outputs
Production-grade prompt engineering and verification

Repository Links:
GitHub Fork: View
Pull Request: Submission #1065

Google Cloud Gen AI Academy APAC 2026

Successfully completed the Google Cloud Gen AI Academy (APAC Edition), a hands-on program focused on building scalable, production-ready AI systems using modern cloud infrastructure.

Gained practical experience in:
Designing AI-powered applications using Google Cloud
Building scalable systems with FastAPI and microservices
Implementing multi-agent architectures
Deploying applications on Cloud Run and solving real-world production challenges

As part of the program, I developed a Multi-Agent Productivity Assistant capable of handling tasks, notes, and scheduling through coordinated AI agents.

Project Links:
Live API: View
GitHub Repository: View

World Audio Visual & Entertainment Summit (WAVES 2025)

Participated in the WAVES Anti-Piracy Challenge 2025, part of the prestigious World Audio Visual & Entertainment Summit.

Submitted a concept focused on enhancing digital content security and protecting intellectual property in the streaming and content creation ecosystem.

WAVES aims to establish India as a global leader in media & entertainment, promoting innovation, digital rights protection, and cultural diversity across platforms. The World Audio Visual & Entertainment Summit is an event focused on establishing India as a key hub for the media and entertainment industry with a strong emphasis on cultural diversity.