NikhilendraRathore

World Cup 2026 spans 48 teams across six confederations — more nations than any prior tournament. Fans and analysts had no single tool to quickly understand team form, head-to-head records, and matchup dynamics in natural language, forcing manual research across fragmented sources.

Built a full-stack Next.js/TypeScript application integrating the Claude API in two modes: a structured scouting report generator that produces natural-language matchup analysis from curated team datasets, and a conversational chatbot grounded in rankings, host-country status, and head-to-head history for all 48 nations across all six confederations (UEFA, CONMEBOL, CONCACAF, CAF, AFC, OFC).

End-to-end matchup intelligence for every World Cup 2026 pairing — instant AI-generated scouting reports and a context-aware chatbot that turns a full tournament's worth of structured data into actionable answers in seconds.

Healthcare billing operations relied on a monolithic batch process that parsed 835 medical remittance files - taking over 1 hour to run. Claims teams couldn't get real-time denial visibility, causing revenue delays and manual rework across millions of records.

Architected a cloud-native AWS ECS microservice in C#/.NET with Terraform for infrastructure-as-code. Integrated Splunk observability for instant denial root-cause analysis and used AWS Secrets Manager for zero-trust secret handling. Deployed via GitHub Actions CI/CD.

Processing dropped from 1 hour to seconds - a 3,600× improvement. Claims teams gained near-real-time data access, enabling faster insurer appeals and dramatically reducing revenue cycle delays for enterprise healthcare clients.

Job seekers lose out to ATS filters before a human ever reads their resume. Manually tailoring bullets for each job description is slow and it's rarely clear which keyword gaps are actually costing you the match.

Built a two-stage AI pipeline: /api/analyze calls Claude to score keyword overlap and surface missing terms, then /api/tailor streams Claude-rewritten bullets that incorporate those keywords - without fabricating experience. Validation via Zod, streaming via the Claude API.

End-to-end ATS audit in seconds - a 0–100 match score, a keyword gap list, and Claude-rewritten bullets delivered via real-time streaming. Deployed live on Vercel.

A high-throughput medical claims pipeline had classification accuracy issues that directly translated to misrouted claims and revenue leakage. Even small percentage improvements at this scale cascaded into significant dollar impact for healthcare clients.

Deep-dived the C#/.NET claims categorization logic to identify misclassification patterns. Implemented targeted fixes validated against production data, using AI-assisted development (Cursor) to accelerate code analysis and PR throughput without sacrificing rigor.

Classification accuracy improvements directly contributed to $10M+ in annual revenue recovery - demonstrating that precision engineering in revenue-critical pipelines has outsized business value beyond typical software metrics.

The patient payment portal lacked real-time insurance verification - a critical feature for billing workflows. Critical API authentication failures blocked the integration, and the team was without a tech lead during the most sensitive phase of delivery.

Stepped in as Interim Tech Lead, diagnosed the authentication root cause, and built the full eligibility service in Next.js with AWS and GitHub Actions. Integrated directly into the patient payment portal with real-time data flow and automated CI/CD pipelines.

Delivered the integration, yielding a 200% increase in QE testing efficiency and enabling real-time insurance verification at scale - unblocking downstream billing and payment workflows across the patient-facing platform.

Claims denial resolution was a black-box process - teams had no real-time visibility into why claims were denied, which insurers were responsible, or how to act quickly. Millions of annual claims moved through the system without operational monitoring.

Implemented Splunk observability dashboards and structured logging across the claims pipeline, built AWS Lambda-driven email outreach automation for validation workflows, and standardized CI/CD to reduce deployment risk across all services.

Denial resolution time dropped from days to hours - operational blind spots eliminated across millions of annual claims. Automated email pipelines accelerated revenue collection cycles and reduced escalations to third-party collections.

Patient-facing healthcare apps and billing services were exposed to automated bot attacks and form abuse, threatening PHI (Protected Health Information) and putting the company at risk of millions in HIPAA regulatory penalties.

Spearheaded a company-wide security initiative: implemented HTTP response header hardening (HSTS, CSP, X-Frame-Options) and deployed reCAPTCHA v3 across all patient-facing apps and healthcare billing services through a coordinated rollout.

Blocked tens of thousands of cyberattacks, safeguarded PHI for thousands of patients, and prevented millions in potential regulatory restitution - demonstrating that proactive security pays dividends far beyond engineering effort.