Rahul Gurujala

Built Synchromesh, a serverless integration service on Azure Functions, and designed a Backup Management System. Develops Python/FastAPI services and AI/ML pipelines, shipping releases through Octopus Deploy and AWS in Agile sprints.

Built a RAG-based AI application for a pharmaceutical client to read, parse, and answer questions over medical reports. Developed Python pipelines to extract and structure unstructured medical documents for LLM retrieval.

Architected the PMS, VMS, and ZE applications for Vodafone Idea using Python and cloud technologies. Partnered with business and technical stakeholders to deliver scalable, high-performance solutions.

Led a team of 5 engineers building FastAPI backend services for FWD Insurance (Thailand). Drove cloud migration projects that improved application performance and reduced infrastructure cost.

Led a team of 6 engineers delivering large-scale web scraping and data mining pipelines with Scrapy, Pandas, NumPy, and SQL. Translated business requirements into technical designs and mentored engineers on data extraction and parsing.

Led delivery for Deloitte (Flask/Pandas applications with large datasets under security and compliance requirements) and Tradofina (trading, investment analytics, and risk tools). Built a custom data analytics solution for Infinilytics that improved data-driven decision-making.

Worked on delivery for Deloitte and Tradofina, building Flask/Pandas applications and trading analytics tools. Promoted to Associate Team Lead in Nov 2021.

Led development of web applications, data mining systems, and machine learning projects in Python at an early-stage startup. Ran day-to-day operations beyond engineering, including hiring, finance, and business strategy.

Delivered custom websites, web apps, and e-commerce platforms end to end with React, JavaScript, and HTML5/CSS, including APIs, CMS, and third-party integrations.

Pursuing a Master of Business Administration with an expected completion in 2027.

Pursuing a Master of Computer Applications with an expected completion in 2028.

Completed the Artificial Neural Networks with Keras in Python and R certification.

Completed a Bachelor of Computer Applications from 2021 to 2024.

Completed the Google Cloud Computing Foundations certification covering fundamentals, infrastructure, and cloud resources.

Completed the Python for Data Science & Machine Learning A–Z course on Udemy.