Laxman Madasu

MCQ Generator Web Application

Developed an MCQ Generator Web Application leveraging Streamlit for an intuitive UI and the Gemini model for instant, high-quality question generation. This tool empowers users to transform any text into customizable multiple-choice questions (5, 10, 15, or 20), streamlining content assessment and learning material creation. It provides an efficient solution for educators and trainers to rapidly produce engaging MCQs.

Code Reviewer and Bug Fixing Tool

Developed a Python application using Streamlit and OpenAI API to review code and provide feedback on bugs and fixes. Created a simple interface where users can submit their code and get instant feedback. Implemented an efficient system to analyze code, detect bugs, and suggest accurate fixes using the OpenAI API. Made the tool easy to use, helping developers improve their code quickly.

Dog Breed Prediction

Engineered a Convolutional Neural Network (CNN) model to accurately predict dog breeds from images using a comprehensive dataset. Created an interactive Streamlit application that allows users to upload dog images and receive real-time breed predictions. Implemented functionality to visualize and display extracted features from the CNN at every convolutional layer, enhancing model interpretability. Optimized model performance through techniques such as data augmentation and transfer learning.

Sentiment Analysis of Hotel Reviews

Evaluated hotel reviews for sentiment classification using machine learning techniques. Preprocessed text data and extracted features with BoW, and TF-IDF. Trained and evaluated models: Naive Bayes, Logistic Regression, and XGboost. Developed and deployed a real-time sentiment analysis app with streamlit. Achieved 83% accuracy in sentiment classification and documented the project on GitHub.

AI Smart Scanner — Finance Application

Built an AI-powered smart scanner for a finance application that extracts structured information from receipts and financial documents and stores processed data in MongoDB. Developed a Streamlit Smart Scanner that allows users to scan/upload receipts, automatically extract relevant fields, and populate the extracted information into a structured form for user review and correction. Implemented an OCR-based document processing pipeline using PaddleOCR, Tesseract, PyMuPDF, and pdfplumber to extract text and map document content to predefined fields. Integrated LLMs with document processing workflows to handle complex financial documents and convert unstructured document data into structured JSON suitable for downstream processing. Designed the workflow to persist validated extracted information into MongoDB, enabling users to review, update, and manage processed financial records. Developed transaction classification capabilities combining rule-based logic and fuzzy matching to categorize financial transactions and improve classification using user feedback.

Code Reviewer & Bug Fixing Tool

Built an AI-powered code review application that analyzes user-submitted code, identifies potential bugs, and provides actionable feedback and suggested fixes. Integrated the OpenAI API to automate code analysis and generate contextual debugging recommendations. Developed an interactive Streamlit interface for submitting code and receiving real-time review results.

AI & ML Engineer

Geeth LLC

- Present

Worked on Maya, an AI-powered website generation platform that enables users to create websites, portfolios, sections, buttons, and other UI components using natural-language prompts. Developed the RAG + LLM generation workflow that understands a library of custom UI components built by frontend developers and generates websites based on their JSON component definitions. Implemented retrieval-based prompting so LLMs could identify and reuse the appropriate Angular-based components and their JSON schemas, enabling consistent and structured UI generation instead of generating arbitrary components. Contributed to the Streamlit-based frontend, allowing users to interact with the AI generation workflow and view recent sessions, live website previews, generated JSON, and generated code. Developed structured JSON-based page generation workflows using LLMs and RAG, improving component selection and reducing unsupported or hallucinated UI components. Worked on a multi-tenant AI application platform that enables users to build, configure, deploy, and integrate AI-powered applications such as AI agents, conversational chatbots, and workflow-based applications. Developed AI application workflows supporting conversational chat, tool-calling agents, and deterministic flows, enabling applications to perform actions and interact with external systems rather than only generate text. Built use cases including e-commerce AI assistants for product discovery and ordering, website chatbots for customer interaction, and automated offer-letter generation. Enabled businesses to build domain-specific AI applications such as loan and mortgage workflows that collect customer information, process application data, and support human-in-the-loop review and approval processes. Designed the platform to allow AI applications to be embedded and integrated into existing business applications, enabling organizations to add AI capabilities without building individual AI systems from scratch. Implemented a provider-agnostic LLM architecture supporting multiple LLM providers, allowing applications to switch models without changing application-level logic. Implemented production reliability and multi-tenant isolation using circuit breakers, distributed locking, idempotency, retry/timeout handling, dead-letter queues, and database-level tenant isolation.

Bachelor's of Science, Data Science

Nsv Degree College

01/01/2020 - 31/12/2023

Master of Computer Applications (MCA)

Jawaharlal Nehru Technological University Hyderabad (JNTUH)

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Bachelor of Science (Data Science)

Sree Chaitanya Institute of Technological Sciences, Karimnagar

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Certificate of Course Completion in Data Science

Innomatics Research Labs

Module Completion Certificate on Exploratory Data Analysis

Innomatics Research Labs

Machine Learning with Python

IBM Developer skills Network

Exploratory Data Analysis Module Completion Certificate

Innomatics Research Labs