Nagineni Tejaswani

Software Development Engineer with 1+ year of full-time experience (1.8 years including internship) building scalable Python/FastAPI backend systems and GenAI/LLM applications, including RAG pipelines, vector database integration, and prompt engineering using LangChain. Experienced with REST APIs, tool-calling backend workflows, React.js frontend integration, and Git/Docker-based development. Built independent GenAI projects DocMind AI (RAG document Q&A) and Candor (LLM-powered journaling companion).

Software Development Engineer (Intern → Full-Time) - Modlix - Bangalore, India

(2024-09 - 2026-05)

• Contributed backend REST APIs and microservices supporting tool-calling / function-calling workflows within an AI-powered conversational campaign management system, collaborating with senior engineers on design and code reviews.
• Designed the Search Terms Analysis feature in Python (FastAPI) using the Google Ads API (GAQL); applied prompt engineering with GPT-4o Mini to generate structured JSON-based keyword recommendations.
• Participated in Agile sprint cycles, pull request reviews, and SDLC best practices, contributing to performance improvements through API-driven, LLM-assisted optimization.
• Implemented the Meta Ads Campaign Creation REST API covering Targeting, Ad Creative, Budget, and Duration configuration, with structured JSON request/response handling and debugging across services.
• Contributed to an Ad Placement SaaS integration using the Meta Marketing API across Facebook, Instagram, Stories, and Reels, supporting a team managing 100+ active campaigns through a unified REST interface.

B.Tech. - Computer Science - NBKR Institute of Science and Technology (2019 - 2023)