Full Stack & AI Engineer specializing in Computer Vision, Machine Learning algorithms, and scalable web solutions using Python, FastAPI, React, and MongoDB.
from fastapi import FastAPI
from vision.models import NeuralEngine
# Initialize AI & Computer Vision Service
app = FastAPI(title="AI Engine API")
engine = NeuralEngine(model="vision-transformer-v2")
@app.post("/api/v1/inference")
async def run_pipeline(payload: ImageBuffer):
result = await engine.predict(payload)
return {"status": "success", "data": result}
kartheekareddy.resume
OpenCV, YOLO, MediaPipe & Video Analysis
React.js, FastAPI & MERN Dashboards
XGBoost, SHAP, Supervised ML & PCA Clustering
B.Tech in Artificial Intelligence & Data Science
SRKR Engineering College, Bhimavaram | GPA: 7.94
I am Karri Kartheeka Reddy, pursuing B.Tech in Artificial Intelligence & Data Science at Sagi Ramakrishnam Raju Engineering College (SRKR), Bhimavaram with a 7.94 GPA. My technical foundation spans machine learning algorithms, computer vision pipelines, and full-stack software development.
During my MLDS internship at Feynn Labs, I worked on market segmentation using PCA and clustering algorithms to build an AI prototype targeting small businesses. At IIDT + APSCHE, I was rated "Excellent" for my work on supervised learning and data preprocessing.
Developing machine learning models and supervised learning pipelines.
Building MERN stack dashboards and FastAPI REST microservices.
Real-time webcam video monitoring using OpenCV, YOLO & MediaPipe.
Customer profiling and AI prototypes built during Feynn Labs internship.
NumPy, Pandas, Scikit-learn, XGBoost, TensorFlow, and NLTK.
Integrating SHAP and Streamlit dashboards for model explainability.
B.Tech in AI & Data Science (GPA: 7.94)
Sagi Ramakrishnam Raju Engineering College, Bhimavaram (2022 – 2026). Specialized in Machine Learning, Computer Vision, and Data Science.
Computer Vision & Machine Learning
Building AI-based video proctoring systems with OpenCV, YOLO, MediaPipe, and predicting health outcomes with XGBoost and SHAP.
"Applying artificial intelligence algorithms, computer vision models, and full-stack web architectures to solve real-world problems."
Technical skills and frameworks extracted from my academic coursework and software projects.
Building machine learning models, computer vision algorithms, and explainable AI pipelines.
Developing modern web interfaces and high-performance REST APIs.
Core programming languages and database query systems.
Exploratory data analysis, statistical visualization, and Explainable AI dashboarding.
Essential software development tools, version control, and interactive environments.
Integrating machine learning models with MERN and FastAPI web applications.
Chronological history of my education at SRKR Engineering College and software engineering internships at Feynn Labs and IIDT + APSCHE.
Feynn Labs
IIDT + APSCHE
Sagi Ramakrishnam Raju Engineering College, Bhimavaram
Sasi Junior College, Tanuku
Bharatiya Vidya Bhavan's Residential Public School
Real-world applications spanning computer vision monitoring pipelines, interactive startup ecosystems, and predictive machine learning models.
Real-time webcam video analysis detecting suspicious activity with 90%+ accuracy.
Developed an AI-based proctoring system for secure online video interviews using OpenCV, YOLO, and MediaPipe with instant alert logging in MongoDB.
Machine learning model achieving 85% accuracy on 10K+ records with SHAP explainability.
Built a machine learning system using XGBoost to predict student depression risk, featuring real-time Streamlit dashboards and SHAP model explainability.
Full-stack personal investment management web app with JWT authentication and Chart.js.
Designed and developed a MERN stack web app for managing personal investments with JWT authentication and Chart.js asset data visualization.
Machine learning diagnostic system for early detection of liver health risk factors.
Engineered an AI diagnostic model leveraging machine learning classification to assess liver disease risk factors and provide early diagnostic insights.
Professional certifications validating expertise across Artificial Intelligence, Neural Networks, Full Stack Engineering, and Python Data Science.
NPTEL, IIT Madras
Comprehensive certification in Python programming concepts, computational thinking, and algorithmic problem solving offered by NPTEL and IIT Madras.
Cisco Networking Academy
Foundational certification covering cybersecurity principles, online privacy, network threat identification, and defensive security measures from Cisco Networking Academy.
View or download my updated curriculum vitae covering academic training in AI & Data Science, full-stack software development experience, and technical projects.
official_curriculum_vitae.pdf
B.Tech in Artificial Intelligence & Data Science | MLDS Intern
Official resume of Karri Kartheeka Reddy, B.Tech student in Artificial Intelligence and Data Science at SRKR Engineering College (GPA 7.94). Internship experience at Feynn Labs (Market Segmentation) and IIDT + APSCHE (Supervised Learning). Developer of AI proctoring systems, XGBoost depression predictors, and MERN investment dashboards.
Have an AI engineering opportunity, full-stack project idea, or technical question? Send a message directly or connect through professional networks.
Open for Full Stack & AI Engineering roles, consulting, and practical machine learning collaborations.
Email Address
karrikartheekareddy2005@gmail.comLocation
Bhimavaram, Andhra Pradesh, India
Portfolio Website
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