Lakshmi Annem

As the core backend engineer, I designed the entire lead lifecycle system from ingestion to allocation, serving thousands of daily customer interactions across web, Meta Lead Forms, Instagram, and Facebook. Engineered a real-time lead ingestion pipeline with multi-source validation, enforcing multiple business rules before persisting to BigQuery, reducing invalid lead entry by 35%. Developed a multi-tier lead allocation engine — both scheduled (4x/day cron) and live — that distributes leads across seller categories and lead tiers using a deficit-weighted algorithm, improving allocation fairness and reducing unallocated lead backlog by 40%. Built a live ops allocation system for CXE and Reservation teams, factoring in real-time leave status, daily capacity, and weighted distribution logic to ensure zero-gap coverage during peak booking windows. Developed REST APIs using FastAPI and Chalice (AWS Lambda) backed by MongoDB and Redis (Upstash/Valkey), enabling frontend teams (React) to manage seller capacity, view daily allocations, and manually trigger lead assignments. Integrated Freshworks CRM workflows via Python webhook APIs to automate stage transitions, schedule follow-up call ta

Designed and developed an automated pipeline to synthesize news content from multiple media websites. Implemented robust web scraping scripts to extract hyperlinks and retrieve full article content. Integrated large language models via LangChain and external summarization APIs to generate concise summaries. Automated the end-to-end flow from scraping to summarization and delivered daily digests to stakeholders through scheduled API posts and notifications.

Worked on innovative IoT and server automation technologies. Focused on integrating machine learning models. Drafted the patent documentations involving claims and specification and streamlined the filing process.