Sai Rishika Dasharadhi
Sai Rishika Dasharadhi
Electronics and Communication Engineering Student | AI & Data Science Enthusiast | Full Stack Developer
🚀 About Me
I am a dynamic and passionate ECE student at Sreyas Institute of Engineering and Technology with strong foundations in C, C++, Python, and Java. Recently, I have expanded my expertise into Data Analytics, Machine Learning, Deep Learning, Generative AI, and Retrieval Augmented Generation (RAG).
I enjoy building end-to-end applications and have hands-on experience in frontend (React.js, Angular) and backend (MongoDB, Node.js) development. My goal is to leverage AI and software development to solve real-world problems and contribute to innovative projects.
🛠 ️ Skills
- Languages: C, C++, Python, Java, JavaScript
- CS Fundamentals: Data Structures & Algorithms, DBMS, MongoDB
- Web Development: React.js, Angular, Full Stack Development
- AI & Data: Data Analytics, Machine Learning, Deep Learning, Generative AI, RAG
- Soft Skills: Problem Solving, Team Collaboration
💼 Experience
🌱 AI & Data Analytics Intern – Edunet Foundation (Shell)
- Completed a 4-week virtual internship on AI and Data Analytics with a focus on Green Skills, in collaboration with AICTE & Shell India Markets Pvt. Ltd.
🤖 AI Intern – Edunet Foundation (TechSaksham)
- Worked on AI: Transformative Learning with TechSaksham, a joint CSR initiative by Microsoft & SAP.
🎓 Education
-
B.Tech, Electronics & Communication Engineering (2022–2026)
Sreyas Institute of Engineering and Technology — CGPA: 8.3 -
Intermediate (2020–2022)
Sri Chaitanya Junior College, Hyderabad — 86% -
High School
Dilsukhnagar Public School — GPA: 10
📜 Certifications
- Python - Skill Certification (HackerRank)
- DBMS Fundamentals & Advanced
- Career Skills in Data Analytics (LinkedIn Learning)
- Angular Web Developer (Infosys Springboard)
- Machine Learning & Deep Learning (IBM SkillsBuild)
- Java Fundamentals (Scaler)
📂 Projects
🎙 ️ Voice-Controlled Smart Car
- Developed a real-time voice-controlled car using Python.
- Integrated robotics, embedded systems, and voice recognition with potential IoT extensions.
☕ Coffee Hub – Full Stack Project
- Built an online beverage delivery app using React.js (frontend) and MongoDB (backend).
- Enabled real-time tracking of orders, customers, and inventory.
🏆 Events
- SAWIT.AI Learnathon (09/2024): Completed Fundamentals of Generative AI.
📌 GitLab Usage
This repository serves as my portfolio hub on GitLab. It will showcase:
- AI/ML experiments and projects
- Full-stack applications
- Research notes on Generative AI and RAG
- Open-source contributions
📫 Contact
If you'd like to collaborate or discuss opportunities in AI, Full Stack Development, or VLSI applications, feel free to reach out: