About Me
I'm Sireesha Jangili, a passionate Software Developer with expertise in MERN Stack, .NET, and AI-driven solutions. With a solid foundation in Data Structures & Algorithms, I'm committed to solving complex problems through scalable, optimized, and innovative solutions.
I've had the privilege to work on projects like DocSum, an AI-powered document summarization tool, and Talent Space Platform, platform for Networking and Learning. These projects reflect my ability to combine cutting-edge technology with real-world applications to deliver impactful results.
In addition to my technical expertise, I'm recognized for my achievements, including being selected as a Amazon ML Summer School Scholar, where I stood out from over 85,000 applicants, and being awarded the INEX Silver Medal for innovation at the India International Innovation Expo.
I'm always looking to push the boundaries of what technology can achieve. Currently, I'm exploring the intersection of AI and web development, continuously learning new technologies, and collaborating with like-minded professionals to build the next generation of intelligent applications.
Skills
Education
Bachelor of Technology
VNR Vignana Jyothi Institute of Engineering and Technology | 2021 - 2025
Branch: Computer Science and Engineering
GPA: 8.3
Board of Intermediate Education
Abhyaas Junior College | 2018 - 2020
Percentage: 95.7%
Board of Secondary Education
Siddhartha High School | 2018
GPA: 10
Experience
Crosspapers EdTech Private Limited
Software Development Intern | Hyderabad
April 2024 – July 2024
Contributed to the development of an AI-powered document summarization system, optimizing content retrieval and scalability.
- Developed an advanced document summarization system using .NET, Azure AI, and MVC.
- Implemented KNN with Azure AI for precise content extraction and enhanced retrieval efficiency.
- Integrated Generative AI (GenAI) to provide intelligent insights from document data.
- Followed SOLID principles to build a scalable, high-performance architecture.
- Collaborated in an Agile environment, participating in code reviews, sprint planning, and feature development.
Projects
DocSum
An AI-powered document summarization tool that uses GenAI, Azure AI, and KNN-based retrieval techniques. Processes large PDFs, extracts meaningful summaries, and includes an AI-driven chatbot for enhanced user interaction. Built using Flask and .NET, ensuring high performance and scalability.
Tech Stack: Flask, .NET, React.js, Azure Blob Storage, KNN, GenAI
Talent Space Platform
A career networking platform integrating AI-driven resume parsing and secure tokenization. Enables users to create profiles, connect with recruiters, and receive AI-based job recommendations. Utilizes Generative AI for intelligent career matching and UUID4 for enhanced authentication security.
Tech Stack: ReactJS, NodeJS, MongoDB, ExpressJS, GenAI, UUID4
Personalized Design Predictor
An AI-powered fashion recommendation system that suggests personalized color combinations. Uses K-Nearest Neighbors (KNN) and deep learning models to analyze past fashion trends and user preferences. Aims to help designers and brands create more personalized clothing choices for customers.
Tech Stack: Python, KNN, Deep Learning
Lakshmana-Rekha
A real-time women’s safety application with live location tracking and emergency alerts. Users can set predefined safe zones and automatically notify emergency contacts in case of danger. Integrated with Google Maps API for real-time navigation and AI-based unsafe location predictions.
Tech Stack: MERN Stack, Google Maps API, Real-time Location Tracking, AI-based Safety Predictions
Let’s Connect!
I’m always open to discussing new opportunities, collaborations, or even just a friendly chat about technology and innovation.
I’m excited to connect with like-minded professionals and collaborate on impactful projects. Looking forward to hearing from you!