Phanni Sai Dasari

Phanni Sai Dasari

Applied AI Builder | AI Agents, Automation & Product Engineering

Hyderabad, Telangana


About

I’ve been interested in automation and AI for years, especially in how software can reduce repetitive work and make systems more useful in the real world. Over time, that interest has turned into building and shipping products across AI, automation, mobile apps, and connected-device workflows. I’m currently building Relent, an AI-assisted wellness product focused on structured check-ins, personalization, and thoughtful user experiences. I’ve also worked on GermiBAN, where I helped build and deploy an Android tablet control and monitoring system for connected disinfection hardware, including device integration, alerts, testing, deployment, and operational handover. A big area I’m exploring now is Hermes, my multi-agent automation setup. It uses specialized agents for development, QA, monitoring, coordination, and research, with structured workflows, approvals, memory, and isolated development environments. I’m especially interested in how agent systems can move beyond demos and become reliable tools for software teams and businesses. Earlier, at TheTriTech, I worked on automation and business-process projects including an AI resume-processing workflow, a Gemini-powered website chatbot, attendance/reporting workflows, and n8 auntomation pipelines. I enjoy using AI-assisted development to turn ideas into working systems, experimenting quickly, testing what works, and improving it from there. I’m interested in applied AI, agentic systems, automation, AI product engineering, and solutions that bring AI into real-world workflows. Always happy to meet builders, founders, engineers, and teams working on interesting AI and automation problems.

Skills
React Native
Product Discovery
Business Analysis
Requirements Gathering
Process Mapping
UX Flows
Stakeholder Communication
QA
UAT
Expo
TypeScript
REST APIs
BLE
Supabase
Cloudflare
Firebase
Git
GitHub
n8n
Experience

Freelance Software Developer

NeoInventronix

Jun 2026 to Present
  • Translated client and hardware requirements into operator workflows for an Android tablet app controlling and monitoring a UV-C/ozone disinfection system.
  • Led AI-assisted development of control, cycle-status, door-sensor, and fail-safe experiences, integrating the product with the device through BLE.
  • Designed a site-aware remote alert and acknowledgement workflow for equipment status and safety events using cloud and push-notification services.
  • Owned real-device testing, legacy-tablet compatibility, signed APK packaging, regression checks, and handoff for deployment.

Founder & Product Lead

Relent

Mar 2026 to Present
  • Created and lead a local-first wellness product that turns a structured four-step check-in into non-diagnostic pattern insights and one matched next action.
  • Defined the end-to-end experience, personalization logic, Result Deck, intervention routing, and safety boundaries based on user needs and product goals.
  • Directed AI-assisted implementation across the mobile experience, local data handling, optional account sync, analytics, notifications, and release-readiness workflows.
  • Built an evaluation process to compare generated and deterministic Result Deck writing for clarity, grounding, safety, and repetition before pursuing an on-device model.

Business Analyst Intern

Ample Logic

Dec 2025 to Feb 2026
  • Managed and resolved production issues across 15+ client projects while helping maintain service standards.
  • Translated client requirements into developer-ready specifications and bridged business stakeholders with technical teams.
  • Prepared FRS, OQ, and UAT support material and performed gap analysis to validate delivery against client expectations.

Automation & Business Analyst Intern

The TriTech

Aug 2025 to Nov 2025
  • Supported an AI-assisted resume-data processing solution covering information extraction and database integration.
  • Worked on full-stack applications, chatbot integrations, and n8n workflows that reduced manual data handling and supported attendance dashboards.
Education

B.Tech

Gokaraju Rangaraju Institute of Engineering and Technology · GPA 7.54/10

Aug 2021 to May 2025

Intermediate (MPC)

Excellencia Junior College · 77.6%