// the framework
Every engagement follows D.O.T.S.
Data, Operations, Technology, Strategy — in that order. Not strategy first, then figuring out the rest. Real margin improvement starts with understanding what data exists, how operations move, and where technology can actually change the unit economics.
What information exists? Where does it live? What shape is it in? You cannot automate chaos. We structure and surface the right data first.
Which workflows are repeated? Where do humans spend time on decisions a machine can make? Operations is where the cost and the opportunity live.
Only after D and O are mapped does the right technology become obvious. LLMs, retrieval systems, automation pipelines — each chosen to fit the problem, not the trend.
The output is margin — measurable improvement in unit economics, throughput, or headcount leverage. Strategy is the outcome, not the starting point.
// career
Built at scale, before it was trendy.
Automation of machinery processes inside global-scale coke-oven plants running at MTPA-grade output. Delivered a 7.2% throughput lift. Fastest promoted in cohort.
Built and optimised marketing funnels serving 1M+ telecom users. Operated across a 3× scale window — systems had to work at volume, not just in demos.
2.7 years. 20,000+ active monthly buyers and sellers. 20× scale window. Built intelligence and automation into the transactional layer of one of India's fastest-growing used-car marketplaces.
B2B marketplace connecting 1L+ suppliers and distributors. 7× scale window. Engineered AI-native workflows that handled the complexity of distributor-to-supplier matching at national scale.
Collections platform with 10L+ borrower interactions. 3× scale window. Built the AI layer handling collections intelligence, prioritisation, and automated touchpoint sequences.
5+ clients live in production. Every system scoped, built, and deployed by one engineer. No subcontractors. No handoffs. Full accountability from first conversation to deployed product.
// what gets built
Five capabilities. One engineer.
On-prem LLMs and retrieval systems that keep your data inside your boundary. No third-party cloud, no token-level surveillance, no vendor lock-in. Built for BFSI, healthcare, and legal teams that actually mean it when they say data sovereignty.
Pre-AI automation experience dating to 2018. 7+ years before it was easy. The systems that work at JSW scale, Comcast volume, and Spinny speed — that pattern is repeatable, and it does not require a team of ten.
Full-stack. Ships to 1 user or 1 million users without architecture rewrites. Zero-downtime deployments, clean data models, and systems that stay up when the business depends on them.
AI-native web experiences and answer-engine visibility. The next generation of search is not a list of links — it is AI systems answering queries directly. Your brand needs to be inside those answers, not invisible to them.
D.O.T.S framework: Data → Operations → Technology → Strategy = Margin. Not slides. Not decks. Documented decisions, clear tradeoffs, and a roadmap that an engineer can actually execute against.
// live in production
Current clients.
Every engagement is live in production — not a prototype, not a pilot, not a proof of concept. Real systems, real users, real outcomes.
AI-powered water-treatment reporting portal. Automated compliance reporting and parameter tracking for industrial water management operations across Reliance, IOCL, Aarti, and IPL Biologicals sites.
Live in ProductionAI operating system spanning WORO's full 6-brand global presence. Unified brand intelligence, AI-assisted workflows, and cross-brand content and operations infrastructure.
Live in ProductionAI-powered alternative lending platform for gig workers and informal-sector borrowers. Automated underwriting, borrower profiling, and collections intelligence.
Live in Production