Swati Ahuja — Software Engineer

I'm a full-stack software engineer with 4+ years of experience building scalable platforms, intelligent systems, and AI-enhanced developer tools with a track record of delivering impact at scale across Salesforce and Intuit. Currently at Salesforce Field Service (Asset 360), I: Contributed to Salesforce Time-to-Value (TTV): a 1-click onboarding flow that dramatically shortens customer setup time, Setup an autonomous AI agent for creating Scheduling policies using agentforce end to end. Shipped features for Asset, Salesforce’s highest-traffic entity (~60% org-wide traffic), Built a long-term memory feature for dev copilots using agentic patterns and vector databases for an internal hackathon. Represented engineering at TrailblazerDX, consulting customers on Agentforce adoption. Previously at Intuit (TurboTax), I: Led modernization of expert notes services, improving fault tolerance with event-driven microservices, Redesigned a microservice that retried failed calls to our main activity service, Owned mission-critical backend systems and drove multiple RTB upgrades. Beyond work, I prototype autonomous AI agents, including a pipeline that converts text prompts into narrated videos using LLMs, Stable Diffusion, and TTS synthesis. I have been trying to build a complete conversation pipeline using STT, LLM, TTS and tool calls for the llm agent, parallelizing tool calls, handling user interruption carefully and minimizing latency. Video generation using stable diffusion and voice agents is something that I am really passionate about right now. I have explored other domains of software engineering like OR research(mixed integer linear programming ) and lexical analysis for compiler designs. Solving algorithmic challenges qnd adapting them into software is one of my passion. My personal github: https://github.com/swati510 I thrive at the intersection of systems engineering and AI and am eager to build next-gen products powered by LLMs, multimodal intelligence, and thoughtful UX. Tech I'm fluent in: Java, Spring Boot, React, Node.js, SQL, Kubernetes, Python, Kotlin, Prompt Engineering, Vector DBs, LLMs

Stackforce AI infers this person is a SaaS-focused Fullstack Engineer with expertise in AI and system architecture.

Location: Bengaluru, Karnataka, India

Experience: 4 yrs 11 mos