Ankita Patil — Software Engineer

I build at the intersection of agentic workflows and high-performance systems. My focus is on moving AI beyond simple chat interfaces into production-grade systems that handle complex reasoning, self-correction, and multimodal data extraction. At Jombay, I’ve spent the last 2.7+ years architecting features for a B2B SaaS ecosystem used by global enterprises. Scaling for 10k+ Users: I optimize data-heavy dashboards where performance isn't a "nice-to-have" - it's a product requirement. Performance Engineering: I led the migration from Webpack to Vite, cutting production build times by 50% and drastically improving deployment velocity. Systems Thinking: I don't just write UI; I own the lifecycle - from RBAC and multi-tenant isolation to main-thread hygiene. AI Orchestration I specialize in the "Invisible AI" layer - creating systems that feel magical but are built on deterministic, reliable engineering. Agentic Workflows: I use LangGraph to build cyclic, self-correcting agents rather than linear chains. Reliable RAG: My focus is on retrieval precision, utilizing pgvector and HNSW indexing to ensure sub-100ms response times for multimodal data. Observability: I advocate for LangSmith tracing and structured output validation to move AI from "experimental" to "enterprise-ready". Async-First: I thrive in remote environments. I move projects forward via deep documentation, structured Jira workflows, and clear, async communication. Technical Stack AI/LLMs: LangGraph, RAG Pipelines, Tool Calling, Vector Search (pgvector), Gemini, GPT-4o. Core: Python (FastAPI), TypeScript, Next.js (App Router), React, Ruby on Rails. Infrastructure: PostgreSQL, Redis, Docker, Vercel, AWS, CI/CD. Available for high-impact remote roles immediately.

Stackforce AI infers this person is a SaaS-focused Full-Stack Engineer with expertise in AI orchestration and performance engineering.

Experience: 2 yrs 8 mos