Summary
Overview
Work history
Education
Skills
Timeline
Generic

Uma Maheshwari Earati

High Wycombe,United Kingdom

Summary

Aspiring Generative AI Engineer with practical, project-based learning in Python, FastAPI, RAG, and agentic AI systems. Focused on clean architecture, reliability, and continuous learning, and eager to grow in a real-world engineering role.

Overview

2026
2026
years of professional experience
2
2
years of post-secondary education

Work history

Gen AI Engineer

Self-Driven
London, United Kingdom

LLM-Powered Semantic Image Search System

  • Built an LLM-powered semantic image search system using multimodal models (CLIP) for text-to-image retrieval.
  • Generated and indexed image & text embeddings (CLIP / BLIP / GIT) with FAISS and Qdrant for low-latency similarity search.
  • Developed a RESTful backend with FastAPI and an interactive Streamlit front-end for search and visualisation.
  • Enhanced search relevance using LLM-based query rewriting and optional metadata filtering (category, tags, colour).
  • Containerised and deployed the application using Docker on Hugging Face Spaces / Streamlit Cloud.

Gen AI Engineer

Self-Driven
London, United Kingdom

Document Portal – AI-Powered Document Analysis & Chat System

  • Designed and developed an AI-powered document portal using Python and FastAPI for document upload, analysis, and querying.
  • Implemented document ingestion and preprocessing pipelines for both structured and unstructured data.
  • Built an embedding-based document chat and retrieval system to enable accurate question answering over uploaded documents.
  • Applied prompt engineering and reusable prompt templates to improve response quality and consistency.
  • Containerised and prepared for AWS deployment using Docker, CI/CD with GitHub Actions, and production-ready practices (logging, exception handling, modular architecture).

Gen AI Engineer

Self-Driven
London, United Kingdom
01.2026 - Current

LangGraph-Based Interview Preparation System (End-to-End GenAI Application)

  • Designed and developed an end-to-end Generative AI system using LangGraph to orchestrate multi-step interview workflows.
  • Implemented an agent-based architecture for automated question generation, web search, expert answer synthesis, and structured content writing.
  • Integrated LLM tool calling, structured outputs, and persistent memory (checkpointing) for context-aware, multi-step responses.
  • Built FastAPI back-end services to manage interview sessions, transcripts, and generated content.
  • Containerised and deployed the application using Docker on AWS, with a strong focus on modular design, logging, error handling, and clean separation of core logic from production concerns.

E-commerce Operations Executive

SUAA E-commerce Professionals LLP
Hyderabad, India
12.2016 - 11.2021
  • Joined the organisation as a Trainee and progressed into Team Lead–level responsibilities based on performance and commitment.
  • Coordinated end-to-end product listing operations across multiple e-commerce marketplaces, ensuring accuracy and timely execution.
  • Conducted website audits to identify content and listing issues and supported quality improvements.
  • Managed email newsletter campaigns, including basic design, content preparation, and scheduling.
  • Oversaw inventory coordination across marketplaces to maintain stock accuracy and availability.

Education

Bachelor of Science - Stats

Osmania University
India
01.2013 - 04.2015

Skills

Technical Skills:

  • Generative AI application development
  • RAG system design
  • Backend API development (Python)
  • Agentic AI

Tools:

  • Python, FastAPI, Guardrails, MCP,
  • LangChain, LangGraph, Langsmith
  • Qdrant, FAISS, SQL
  • Docker, AWS, GitHub Actions

Timeline

Gen AI Engineer

Self-Driven
01.2026 - Current

E-commerce Operations Executive

SUAA E-commerce Professionals LLP
12.2016 - 11.2021

Bachelor of Science - Stats

Osmania University
01.2013 - 04.2015

Gen AI Engineer

Self-Driven

Gen AI Engineer

Self-Driven
Uma Maheshwari Earati