Nishanth Kesavan

Nishanth Kesavan

Independent builder and analyst · Bengaluru, India

I spent 13 years turning untidy operational data into decisions. At Brillio, on a Microsoft engagement, that meant taxonomies, Power BI dashboards, supportability analysis, and ML training data that people could actually use.


In 2025 I began building independently. RailHygiene, Kerala Flash-Flood Watch, ProteinDB, Padham, and the KL State Lottery Data Hub all started the same way: I needed a tool, could not find a good one, and decided to make it.


I use AI throughout the build process and say so plainly. My contribution is the part that cannot be delegated: defining the problem, researching the domain, choosing the tradeoffs, testing the result, and taking responsibility for what goes live.

Approach

How I work

Problem first, evidence next, code after that. I use the stack that fits the work and keep the reasoning visible.

Start with the missing piece. I write down who has the problem, what they do today, and what a useful answer would change. This keeps the product smaller and the decisions sharper.

Trace the evidence. For data products, I find the primary sources, study their failure modes, and make uncertainty visible. For websites, I look at intent, search behavior, structure, and the content people actually need.

Build with AI, judge with experience. ChatGPT and Gemini help me move between research, architecture, Kotlin, JavaScript, Python, and deployment. I review the output, test edge cases, debug failures, and decide when the work is ready.

Keep it alive. A live badge means the service is still checked and maintained. Dependability is part of the deliverable, not an afterthought.

Career

Work Experience

2025 to present

Independent Builder

Self-employed · Bengaluru

  • Built and published RailHygiene, an Android app that lets passengers check and rate train coach hygiene using PNR lookup, with zero personal data collection
  • Built and published Padham, a minimal, offline-first Malayalam spiritual text reader designed for daily practice
  • Created Kerala Flash-Flood Watch, a multi-source decision-support dashboard combining data from IMD, NASA IMERG, CWC, RainViewer, and KSDMA for monsoon monitoring
  • Developed ProteinDB, a web application that scrapes, normalizes, and ranks Indian protein supplements by objective value metrics

2012 to 2025

Tech Specialist

Brillio Technologies · Microsoft Supportability Insights

  • Developed and implemented taxonomies to categorize customer tickets/cases across products (Sales, Accounts, Office, Windows), later consolidated into a single unified taxonomy
  • Analyzed data and conducted deep product failure case/incident analysis to identify top trending issues, providing actionable insights to engineering
  • Transitioned reporting from Excel charts/pivots to Power BI visualizations, enhancing data accessibility for stakeholders
  • Played a key role in ML model implementation: modifying taxonomies and training models using manually classified high-confidence data
  • Developed interactive Power BI dashboards leveraging DAX and calculated columns, enabling stakeholders to derive actionable insights
  • Created a Copilot dashboard to monitor daily trending issues for new products
  • Designed a CELA (Legal Affairs) dashboard integrated with Power Automate for case management
  • Automated report generation and distribution workflows
  • Collaborated with cross-functional teams to refine taxonomies, improve ML models, and enhance supportability insights

2007 to 2012

Subject Matter Expert (SME)

C Cubed Solutions

  • Managed escalations and complex help desk operations, ensuring high-quality customer experience
  • Developed and optimized training programs for support teams, improving productivity and efficiency
  • Led a team of support specialists, tracking performance metrics and driving process enhancements

Capabilities

Technical Skills

Mobile Development

Kotlin Jetpack Compose Android SDK Material Design 3 Firebase Room DB

Data & Analytics

Power BI DAX SQL Excel (Advanced) Python R (Basic)

Web & Cloud

JavaScript TypeScript Next.js Node.js Azure GitHub Actions

Operations & Process

Escalation Management ML Model Training Taxonomy Design Power Automate Data Validation

AI-Assisted Development

ChatGPT Google Gemini Prompt Engineering AI Code Review AI-to-Production Workflow

Education

Academic Background

Bachelor's in Computer Application

Alagappa University

2011

Diploma in Information Technology

MSBTE

2007

Credentials

Certifications

Microsoft Certified: Azure Administrator Associate

Recognition

Achievements

  • Recognized as "Brillian of the Quarter" twice and "Brillian of the Month" once for excellence in operations and leadership
  • Promoted to Operations Lead in recognition of outstanding performance and leadership in technical operations