MALLAPU RITHIKA — AI/ML Engineer

About Me

I am an aspiring AI/ML and Software Engineer with hands-on experience in developing end-to-end applications. My projects include a personalized workout recommendation system and AI models for healthcare, reflecting my passion for technology and problem-solving. I'm eager to leverage my skills in a dynamic software engineering internship.

Professional Experience

Campus Mantri

GeeksforGeeks

Dec 2025 - Jun 2026

Remote

Key Responsibilities & Tech:

Coordinated outreach initiatives between GeeksforGeeks and the student community, enhancing engagement and participation in coding events.
Organized multiple coding competitions and activities that significantly increased student involvement in DSA and coding culture on campus.

Participant

SPEC Industry Hack 2026

Aug 2026

Hyderabd , dulapalle 500055

Key Responsibilities & Tech:

Achieved 2nd Prize (₹25,000) at SPEC Industry Hack 2026, a national 24-hour hackathon, showcasing innovative problem-solving and teamwork.

Education & Certifications

Academic Background

B.Tech - Computer Science and Engineering (AI & ML)

B V Raju Institute of Technology, Narsapur, Telangana

2024 - 2028

CGPA: 8.53/10

Certifications & Courses

Data Structures & Algorithms Self-Paced Course · GeeksforGeeks

Python Programming Certification · GeeksforGeeks

Python (Bronze Badge) · HackerRank

Machine Learning Workshops · BITS Pilani

Introduction to Python Programming · CodeFobe

Featured Projects

P

Personalized Workout Recommendation SystemCheck out ↗

Python, scikit-learn, SQLite

Developed an ML-driven recommendation engine utilizing a Random Forest classifier, achieving approximately 84.9% accuracy on user fitness profile data.
Engineered a comprehensive data pipeline for preprocessing using Pandas and NumPy, feature engineering, and real-time model inference based on user input.
Designed a SQLite-backed persistence layer to manage user profiles, workout history, and a database of over 80 exercises.
Applied core DBMS principles including schema design, CRUD operations, and query optimization to effectively manage structured application data.
Deployed and maintained the live application using structured Git version control and iterative testing methodologies.

Pythonscikit-learnSQLite

M

MediFlow: AI-Powered Patient Routing & Hospital Congestion PredictionCheck out ↗

Python, scikit-learn, XGBoost, Streamlit

Collaborated on developing regression and classification models (Random Forest, XGBoost) to accurately predict department waiting times and congestion levels from patient queue data.
Constructed a smart routing module that recommends the least congested department to incoming patients based on real-time queue and doctor availability data.
Designed a real-time analytics dashboard that visualizes patient load, doctor utilization, and peak-hour trends for improved operational efficiency.

Pythonscikit-learnXGBoostStreamlit

P

PRIMA — Adaptive AI Tutor Landing PageCheck out ↗

React, Vite, Tailwind CSS, Framer Motion

Engineered an interactive single-page React landing page for PRIMA, an adaptive 1-on-1 AI tutor platform tailored for K-10 students.
Implemented a dynamic multi-language switcher supporting English, Hindi, and Telugu, featuring real-time text translation capabilities.
Designed animated hero sections using Framer Motion, including floating visual cards and an interactive SVG-based problem decomposition demo.
Developed a user-centric UI with a custom design system utilizing Tailwind CSS for a cohesive visual experience.
Structured the project with Vite to ensure fast builds and leverage modern React 18 tooling.

ReactViteTailwind CSSFramer Motion