Akash Gayakwad — Software Engineer

I build AI-powered platforms and real-time data infrastructure at Adobe — the kind of systems that quietly run hundreds of pipelines, ship features without engineering bottlenecks, and turn multi-step workflows into a single conversation with an LLM. 5 years as a Computer Scientist (SDE-3 equivalent) at Adobe. A few things I've shipped: → An LLM-powered conversational commerce agent (RAG + agents + workflow orchestration) that collapsed multi-step purchase and activation flows into a guided chat — approved by Adobe commerce leadership for the product roadmap. → An AI-powered UI validation platform that compares Figma designs against live application screens. Adopted by 5 UI teams, reduced QA cycle time by 80%. → Adobe's real-time streaming ecosystem on Apache Storm — 100+ business-critical pipelines, 10M+ events daily, 99.9% reliability. Built a config-based framework that cut pipeline dev time by 90% (10 days → 1 day). → A no-code authoring platform (React + Next.js) used by 15+ product teams to launch 100+ screens across trials, upgrades, renewals, and cross-sells — accelerating delivery by 70%. Stack I work across: - GenAI / LLMs — OpenAI, Anthropic, Llama, LangChain, LlamaIndex, RAG, agents, function calling, Pinecone, Chroma - Distributed systems — Apache Storm, Apache Spark - Full-stack — React, Next.js, Node.js, TypeScript - Cloud — AWS (EC2, S3, Lambda, RDS), Docker, Kubernetes Recognized with Adobe's Significant Contributor Award three times (2022–2024). Smart India Hackathon 2020 First Runner Up. I mentor junior engineers and occasionally show up at hackathons. Open to conversations about senior / lead roles in GenAI, ML platforms, or distributed systems. Best reach: DM here or akashgayakwad123@gmail.com.

Stackforce AI infers this person is a SaaS-focused engineer with expertise in AI and distributed systems.

Location: Bengaluru, Karnataka, India

Experience: 4 yrs 10 mos