Decision Intelligence

Secured 1st place among 100+ teams with FiscalAI — an AI-driven system for GDP prediction and intelligent budget allocation. Focused on combining data modeling with real-world policy relevance.

Contributed to research across FinTech and HealthTech domains, working on product-oriented AI solutions. Identified problem spaces, aligned with stakeholders, and translated ideas into functional prototypes.

Participated in a 24-hour national hackathon at Kalinga University. Traveled over 1,500 km to compete and secured a Top 10 position among leading teams from IITs and NITs.

Designed and conducted a hands-on workshop on Large Language Models. Covered model architecture, fine-tuning workflows, and guided participants through practical implementation.

Shortlisted to present research on context awareness in small language models. Represented Saveetha Engineering College and engaged with industry experts on system design and optimization strategies.

Led a team to victory at a national-level hackathon hosted by NIT Trichy. Built and delivered a high-impact AI solution under competitive conditions, reinforcing strengths in rapid prototyping and execution.

Working on enterprise-grade AI systems integrating LLMs, OCR pipelines, and agent-based workflows. Building end-to-end solutions and documenting system behavior for scalable deployment.

Built Vigil, a Kubernetes observability engine with zero-trust falsification and real-time dependency graph analysis, presenting the platform directly to ABB leadership.