Hi, I'm Manasa Valli Sangamreddy, a passionate Learning Systems Developer and AI enthusiast based in Bengaluru. With a B.Tech in Computer Science and Engineering, I enjoy building scalable AI-driven content automation pipelines and developing innovative solutions that bridge technology and education. I've worked on projects ranging from automated textbook updates using sentence transformers to AI-based IP law textbook generation and curriculum mapping for medical courses. I love exploring the capabilities of large language models and retrieval-augmented generation workflows, always aiming to enhance learning experiences and streamline content management. When I'm not coding, I enjoy sharing my knowledge through e-learning content and dashboards, making complex AI concepts accessible and useful in practical education and training settings.…

Manasa Valli Sangamreddy

Hi, I'm Manasa Valli Sangamreddy, a passionate Learning Systems Developer and AI enthusiast based in Bengaluru. With a B.Tech in Computer Science and Engineering, I enjoy building scalable AI-driven content automation pipelines and developing innovative solutions that bridge technology and education. I've worked on projects ranging from automated textbook updates using sentence transformers to AI-based IP law textbook generation and curriculum mapping for medical courses. I love exploring the capabilities of large language models and retrieval-augmented generation workflows, always aiming to enhance learning experiences and streamline content management. When I'm not coding, I enjoy sharing my knowledge through e-learning content and dashboards, making complex AI concepts accessible and useful in practical education and training settings.…

Available to hire

Hi, I’m Manasa Valli Sangamreddy, a passionate Learning Systems Developer and AI enthusiast based in Bengaluru. With a B.Tech in Computer Science and Engineering, I enjoy building scalable AI-driven content automation pipelines and developing innovative solutions that bridge technology and education. I’ve worked on projects ranging from automated textbook updates using sentence transformers to AI-based IP law textbook generation and curriculum mapping for medical courses.

I love exploring the capabilities of large language models and retrieval-augmented generation workflows, always aiming to enhance learning experiences and streamline content management. When I’m not coding, I enjoy sharing my knowledge through e-learning content and dashboards, making complex AI concepts accessible and useful in practical education and training settings.

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Skills

Experience Level

Python
Expert
Data Science
Expert
Microsoft Office
Expert
PyTorch
Expert
TensorFlow
Expert
SQL
Expert
AWS
Expert
Github
Expert
JIRA
Intermediate

Language

English
Fluent
Hindi
Advanced
Telugu
Fluent

Work Experience

Learning Systems Developer (AI) at Instructionalize
January 1, 2024 - June 27, 2024
Developed scalable AI-driven pipelines using Hugging Face Sentence Transformers for automated textbook change detection and semantic content mapping. Led end-to-end automation of converting unstructured legal PDFs and PPTs into structured documents, leveraging OpenAI API and custom RAG workflows to improve content rewriting and retrieval accuracy. Built live Streamlit apps to empower agents with enhanced rewriting speed and accuracy. Created curriculum mapping pipelines for medical courses using semantic similarity models and vector database retrieval. Conducted research benchmarking PDF parsers and OCR tools, and designed modular agentic workflows with LangChain and Autogen tools.
Subject Matter Expert – AIML at iNurture Education Solutions Pvt. Ltd
May 1, 2023 - January 31, 2024
Created detailed technical content and modular code samples for AI and ML e-learning programs focusing on readability and practical usage. Built automation frameworks to analyze faculty and student performance, enhancing reporting and data transparency. Validated AI, Data Science, and ML curricula using industry-standard tools such as TensorFlow and Hugging Face. Led research on trends in LLM integration and prompt engineering for instructional automation. Developed Power BI dashboards for academic metric visualization supporting data-driven decision-making.
Data Science Engineer at iMemori.ai
January 1, 2022 - March 31, 2023
Built NLP pipelines for email classification improving precision for business and marketing segments. Developed end-to-end text preprocessing, labeling, and classification frameworks integrated with backend systems for consistent data flow. Designed REST APIs for user data management using Microsoft Graph API. Architected secured AWS S3 data pipelines for automated ingestion and categorization of email attachments. Established robust testing frameworks using Pytest to enhance CI/CD validation and reduce production bugs.
Learning Systems Developer (AI) at Instructionalize
January 1, 2024 - June 23, 2024
Developed scalable AI pipelines using Hugging Face Sentence Transformers to automate content comparison and alignment in textbooks, improving accuracy and reducing manual effort. Led AI-based IP law textbook generation by converting unstructured PDFs and PPTs into structured Word documents, utilizing OpenAI API for summarization and keyword generation. Designed and deployed Retrieval-Augmented Generation workflows leveraging Llama 3 and OpenAI API for intelligent content rewriting. Built live Streamlit apps to enhance rewriting speed and contextual accuracy. Created automation pipelines for curriculum mapping in medical courses using semantic similarity models and OpenAI API. Conducted benchmarking of PDF parsers, OCR engines, and layout detection models to optimize structured content extraction. Developed internal productivity tools to streamline LLM experimentation and team collaboration.
Subject Matter Expert – AIML at iNurture Education Solutions Pvt. Ltd
May 1, 2023 - January 31, 2024
Created comprehensive technical content and modular code samples for AIML e-learning programs focused on readability and reusability. Developed automation frameworks for faculty and student performance analysis, enhancing reporting efficiency. Validated Data Science and ML course content using industry-standard libraries including TensorFlow and Hugging Face. Led internal research on LLM integration and prompt engineering to improve instructional automation. Developed Power BI dashboards for academic metrics visualization, supporting data-driven decision-making.
Data Science Engineer at iMemori.ai
January 1, 2022 - March 31, 2023
Developed NLP pipelines for email classification, enhancing model precision. Created end-to-end frameworks for text preprocessing, labeling, and classification integrated with backend systems. Designed REST APIs and backend logic using Microsoft Graph API for user data management. Architected secure AWS S3 data pipelines for automated email attachment ingestion and categorization. Implemented robust testing frameworks using Pytest to improve CI/CD validation and reduce bugs in production.

Education

Bachelor of Technology at St.Mary's Group of Institutions Guntur, Affiliated to JNTUK
January 1, 2017 - December 31, 2021
Bachelor of Technology at St.Mary's Group of Institutions Guntur, Affiliated to JNTUK
January 1, 2017 - December 31, 2021

Qualifications

Python with Machine Learning from IBM
January 1, 2021 - December 31, 2021
Deep Learning with TensorFlow from IBM
January 1, 2021 - December 31, 2021
Data Analytics Program from KPMG
January 1, 2021 - December 31, 2021
Google Prompting Essentials from Coursera
January 1, 2021 - December 31, 2021
Python with Machine Learning from IBM
January 1, 2023 - December 31, 2023
Deep Learning with TensorFlow from IBM
January 1, 2023 - December 31, 2023
Data Analytics Program from KPMG
January 1, 2023 - December 31, 2023
Google Prompting Essentials from Coursera
January 1, 2023 - December 31, 2023

Industry Experience

Education, Software & Internet, Professional Services, Healthcare
    paper Curriculum Mapping for Medical Courses (Nov 2024-Feb 2025)

    • Built automation pipelines to map provided high-level curriculum to source materials using semantic similarity models.
    • Extracted and structured course content across 4 medical courses, generated learning objectives, and aligned them with course strategy using OpenAI API and vector database retrieval.

    paper AI-Based IP Law Textbook Generation (Sep 2024-May 2025)

    Led the end-to-end automation pipeline for converting and extracting content from 100+ unstructured PDFs and PPTs into structured Word documents using PowerShell, PyMuPDF, and Python-docx.
    • Extracted and tagged text, headings, and images; performed word count validation to ensure fidelity to original legal content.
    • Used OpenAI API to summarize extracted material and generate keywords; compared content against the client’s Target TOC using Hugging Face’s Sentence Transformers for semantic alignment.
    • Created section-wise Word documents for each TOC topic to centralize relevant content, improving navigability and reusability for downstream tasks.
    • Designed and deployed a robust Retrieval-Augmented Generation (RAG) workflow using Llama 3, and OpenAI API, enabling intelligent content rewriting and enrichment.
    • Built and deployed a live Streamlit app to empower agents with on-demand retrieval and rewrite capabilities, improving rewriting speed and contextual accuracy by over 70%.
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