Ranjith DVL.

0→1 agentic platform that helps SRE (Site Reliability Engineering) teams prioritize high-impact alerts and resolve them faster — minimizing MTTR (Mean Time To Resolution).

• Secured buy-in from 2 enterprise customers and progressed 1 to a paid Pilot PoC (Proof of Concept) deployment, validating product-market fit for a 0→1 agentic AI platform.
• Defined the end-to-end golden path — from dashboard access to raising a ticket to resolving the alert — designing an evidence-backed hypothesis workflow powered by 5 worker agents.
• Authored PRDs (Product Requirements Documents) and user-journey maps for 8 core features: AI RCA (Root Cause Analysis), alert prioritization, an LLM chatbot, Human-in-the-Loop refinement, and Execute / Raise-Ticket flows.
• Shipped a 0-defect customer demo by leading structured edge-case testing sprints, closing every critical gap before external showcases.
• Automated Jira-to-Spreadsheet progress tracking with Claude Code + n8n, eliminating ~3 hours/week of manual client reporting.

Drove engagement strategy for MyJio's Play&Win, backed by cohort analysis, during the MBA summer internship.

• Identified a 15% user drop-off through DAU/MAU/retention (Daily/Monthly Active Users) cohort analysis and presented a data-backed mitigation roadmap to senior PMs — directly influencing the MyJio engagement backlog.
• Benchmarked 4+ gamification platforms and proposed an LLM-based (Large Language Model) AI Chat integration for MyJio's Play&Win feature — adopted for Phase 2 roadmap planning.
• Surfaced 20+ critical production bugs and 11 feature enhancements through AI-assisted product audits, reducing post-launch incident risk.

Owned two products end-to-end at a sports-tech startup: FANBox (an arena booking app) and a cricket gaming app.

• Cut time-to-market by 15% by introducing an Agile sprint structure and phased releases across a 5-person cross-functional team.
• Designed an ML-based (Machine Learning) player performance tracker UX from scratch — personas, wireframes, and data model — after competitive analysis of 10+ sports apps.
• Drove a 20% uplift in user acquisition through a GTM (Go-To-Market) campaign featuring cricketer Dinesh Karthik, pairing gamification mechanics with targeted social distribution.

Full-stack Python/Django engineer for 2 global enterprise clients — the technical foundation under the product work.

• Slashed page latency by 89% (39 seconds → 4 seconds) via database task automation, directly improving customer-facing experience for a global enterprise client.
• Reduced defect resolution wait time by 85% through auto-remediation of alarms, measurably improving CSAT (Customer Satisfaction) scores.
• Decreased code complexity by 58% by modularizing a legacy Python monolith into reusable components.
• Engineered ML-driven server-health monitoring, preventing 180+ production server downtimes.
• Delivered ~20K lines of code, 140+ ticket resolutions, and 24 enhancements — earning an 18-month fast-track promotion.
• Received the Extra Mile Award for shipping 3 novel features in 2 months; mentored 4 new joiners.