Pushpak Patil

Software Engineer

Noida, Uttar Pradesh, India4 yrs 11 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Expert in building AI-driven web platforms.
Proven track record in enhancing engineering transparency.
Skilled in modernizing user experiences for high traffic.

Stackforce AI infers this person is a SaaS-focused Software Engineer with expertise in AI and web development.

Contact

ppatil@adobe.com LinkedIn

Skills

Core Skills

ReactPythonAi Development

Other Skills

AWX ProjectAdobe IllustratorAdobe PhotoshopAdobe React SpectrumAgentic AI DevelopmentAndroid DevelopmentAnsibleArgo CDAutomationBootstrapCC++Cascading Style Sheets (CSS)Continuous Integration and Continuous Delivery (CI/CD)Docker

About

I am a Software Engineer at Adobe with a passion for building high-impact web platforms and intelligent automation tools. My recent work focuses on bridging the gap between DevOps and AI, specifically through developing scalable LLM-driven chatbots and multi-agent orchestration platforms that streamline engineering workflows. Throughout my career at companies like Samsung R&D and Deloitte, I have specialized in creating data-driven solutions—ranging from health data integration platforms to real-time engineering health dashboards—that improve transparency and accelerate decision-making. I pride myself on delivering modern, secure, and highly performant user experiences. Core Technical Arsenal: 1. Languages: JavaScript/TypeScript, Python, C++, Java/Kotlin. 2. Frontend/Backend: React (Adobe React Spectrum), Next.js, Node.js, FastAPI, Flask. 3. AI/Data: LangChain, Vector Search (Supabase/PostgreSQL), Multi-agent RAG workflows. Tools: Jenkins, Docker, Argo CD, Okta Auth. I’m driven by the challenge of transforming complex data into intuitive, automated tools that empower engineering teams.

Experience

4 yrs 11 mos

Total Experience

1 yr 7 mos

Average Tenure

3 yrs 10 mos

Current Experience

Adobe

Member of Technical Staff

Aug 2022 – Present · 3 yrs 10 mos · Noida · Hybrid

Built a scalable AI chatbot and query-routing platform with multi-model support (OpenAI, Anthropic,
Google/Ollama), custom assistants, and RAG workflows — designing a rich Next.js + React chat interface for conversational access to build analytics, release readiness, and DevOps workflows. Integrated Supabase(PostgreSQL), Python/Flask services, LangChain agents, vector search, and LLM caching to orchestrate 10+ specialized agents (Jenkins, Jira, Git, Wiki, Sprint Reports), drastically reducing manual lookup time through an intuitive, unified chatbot deployed on Vercel.
Developed the Photoshop Engineering Health Dashboard, a web-based analytics platform using React and Adobe React Spectrum, enabling real-time monitoring of PR throughput, PR cycle time, MAU data, Jira bugs, Copilot DAU, code coverage, crash-free percentage, etc. for Photoshop across desktop, mobile, and web, improving engineering transparency and accelerating data-driven decision-making. Also created a Python Flask monolithic API service to fetch and store data from relevant data points, implemented Okta based token auth for secured APIs, event logging, hosting the service onto Argo for CI/CD, also implementing Okta based user sessions on the frontend for enhanced security.
Redesigned the Falcon 2.0 Portal from scratch using React and Adobe React Spectrum to modernize an outdated UI and align with Adobe’s design standards—boosting usability and increasing site traffic by 1.5x—while also enhancing the RIO Portal with advanced build tracking and machine management features, improving visibility, decision making, and enabling teams to efficiently track latest codex, staging, and production builds.

JavaScriptTypeScriptPythonC++JavaKotlin+13