Headline

AI Lead @ Zime AI · Building AI products end-to-end across Product & Engineering · ex-Samsung R&D · Open to AI Product opportunities

About

I work at the intersection of AI, product, and systems. Day to day, that means LLM-based products - evals, retrieval, agentic workflows, prompt and model strategy, and the messy production side of GenAI where reliability, latency, and cost actually matter. Right now, I lead an AI product end-to-end - shaping what we build, discussing how we architect it, aligning stakeholders, mentoring engineers, hiring thoughtfully, and still spending time building hands-on. I’m drawn to complexity, but not chaos. I enjoy working through ambiguity, debating trade-offs openly, and designing systems that make sense long-term. Over time, I’ve grown from shipping features to owning outcomes - building products and teams that scale with clarity. Outside of engineering, I’m drawn to structure in different forms - fashion, music, writing. I find that good systems and good art share the same foundations: rhythm, precision, and restraint. I value depth, curiosity, thoughtful engineering, and strong cultures where people grow alongside the products they build. Long-term, I’m building toward technical leadership where product vision and engineering depth evolve together. Still curious. ✨ I'm always happy to hear from people figuring things out - whether you're navigating the MNC-to-startup jump, thinking about AI/product/tech, weighing a career pivot, or just at a standstill and not sure what's next. Especially women in tech. Replies may be slow, but I do read everything.

Location

Bengaluru

AI stack

claude code

cursor

grok

langfuse

Supabase

Wispr Flow

Work experience

Senior AI Lead - Product and Engineering, Playbooks at Zime, Jan 2026 - Sep 2026 · 9 mos, Bengaluru, Led product and engineering for Playbook Automation at Zime, an AI-native B2B sales intelligence startup, owning the product roadmap, AI architecture, execution, and a team of 3 engineers. Some things I worked on: • Playbook Automation: Transitioned 13 enterprise clients to automated playbook creation using modular prompts and workflows, cutting time from 8–10 days to 2–3 days. • AI Context & Knowledge Systems: Built entity extraction and enrichment pipelines with dynamic taxonomies, knowledge graphs, retrieval, and human-in-the-loop checks. • AI Quality & Evals: Created production evaluations for LLM insights and tested LLM-as-judge using a 79-case golden dataset. • Reliability & Observability: Designed multi-region fallbacks, real-time alerts, and Langfuse tracing, reaching 98–99% compliance with a 15-minute SLA over 4–5 weeks. • AI Cost Optimization: Applied context caching, batch inference, and model routing to lower costs while balancing quality and latency. • ZBook: Developed an AI system to organize winning sales practices from call insights and client knowledge. • Team Leadership: Led 3 engineers, hired 2 members, and helped shape hiring frameworks for AI engineering and product roles. My role sat at the intersection of product thinking, hands-on AI engineering, and people leadership—from deciding what to build and how it should work to making sure it actually worked reliably in production.

AI Engineer at Zime, Jul 2025 - Jan 2026 · 7 mos, Bengaluru, Joined Zime after nearly 5 years at Samsung R&D to explore generative AI, work in a fast-moving startup, and take on broader ownership. • Developed LLM-powered sales intelligence, prompt workflows, and AI insights. • Led early Playbook Automation development, including architecture and modular prompt design. • Worked with engineering, product, and customer teams to deploy AI in production. Grew into the Senior AI Lead role, taking on end-to-end product ownership, engineering leadership, and people management.

Software Engineer II at Samsung R&D Institute India, Mar 2024 - Jul 2025 · 1 yr 5 mos, Built and deployed a custom Transformer encoder model for content categorization, embedded directly into the Samsung Internet browser Led prompt engineering efforts using Gemini to develop GenAI-powered features Converted a Python-based MLP model into a Java implementation for production, reducing external dependencies Collaborated across teams to deliver ML-driven experiences with strong focus on real-world application and performance

Software Engineer at Samsung R&D Institute India, Sep 2020 - Feb 2024 · 3 yrs 6 mos

Intern at Samsung R&D Institute India, Jan 2020 - May 2020 · 5 mos

Software Engineer Trainee at Groww, India, May 2019 - Jul 2019 · 3 mos, Bengaluru Area, India

Content Marketing Intern at Neptune Blockchain, May 2018 - Jul 2018 · 3 mos

Education

Bachelor of Technology, Computer and Communication Engineering, Manipal institute of technology

CBSE AISSCE Class XII, Indraprastha International School