Soma Naga Ganesh

SkillFusion — Real-Time Learning Platform

Designed a responsive learning interface using React.js and React Bootstrap for mentor discovery, session scheduling, and live learning management. Implemented secure user authentication and session management using Firebase Authentication and Firestore. Integrated Zego Cloud video services for one-on-one live learning sessions, enabling seamless peer-to-peer knowledge exchange.

Construction Site Accident Analysis — NLP & Text Mining

Processed accident report datasets using Python, Pandas, and NumPy to clean textual data and prepare structured inputs for safety analysis. Applied NLP techniques with Scikit-learn to categorize accident descriptions and identify recurring risk patterns, supporting data-driven safety recommendations.

Dictionary Application — Interactive Vocabulary Tool

Built a browser-based dictionary tool to fetch word definitions, synonyms, and antonyms via public Dictionary APIs. Developed dynamic search with asynchronous API calls for real-time word suggestions and improved lookup efficiency.

Software Engineer

Algonox Technologies

01/06/2025 - 01/06/2026

Project 1: MedseneAI — OCR-Based Medical Document Automation (Python, Flask, MySQL, PyTorch, Scikit-learn, OpenCV, Tesseract) ● Designed an OCR document classification engine to identify page-level formats (Check, EOB, VCC) using TF-IDF vectorization and cosine similarity scoring with threshold-based selection and recursive fallback logic, contributing to a 27% improvement in field-extraction accuracy. ● Built a template detection stage using fuzzy matching (SequenceMatcher / Levenshtein ratio) and geometric (X,Y) coordinate validation to identify the exact layout template for accurate field extraction. ● Built a TF-IDF + SVM field validation model to verify extracted values map to the correct fields (e.g., Check Amount vs. Patient Name), with confidence scoring to flag uncertain extractions. ● Developed a fuzzy matching module using prefix-based candidate filtering and similarity thresholds to correct OCR spelling errors, improving label recognition and database lookup accuracy. ● Converted scattered OCR word output into structured, readable lines using alignment logic (top position + left order), enabling accurate extraction of multi-line values like addresses and descriptions — this line-reconstruction step drove the 33% reduction in manual document sorting. ● Corrected page rotations (90°, 180°, 270°) using Tesseract OSD and fixed slight skew using Hough Line Detection; improved processing speed for large multi-page documents using multithreading. ● Created Joblib model files for domain-specific keywords (Check No, Patient Name, Amount) enabling keyword-based field extraction at document ingestion. Project 2: SweetHello AI — AI-Powered Patient Call Assistant (Python, Flask, REST APIs) ● Built an AI call-handling flow that automatically answers inbound patient calls and engages in spoken dialogue to resolve common queries without human intervention. ● Implemented smart escalation logic that transitions calls from AI mode to a live agent based on patient responses and issue complexity. ● Integrated the AI dialogue system with backend REST APIs to fetch patient-specific information and provide context-aware responses during live calls.

Bachelor of Technology — Computer Science Engineering

Malla Reddy Institute of Engineering and Technology, Hyderabad

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JavaScript

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Python Essentials

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