AI & Full‑Stack Innovation
I’m KARRI SAI SRI VENKATA REDDY, building intelligent applications that merge Computer Vision, Deep Learning, and modern web engineering.
Career Objective
Motivated and detail-oriented Artificial Intelligence & Machine Learning undergraduate with hands-on experience in full-stack development and AI-powered web applications. Passionate about leveraging AI and web technologies to create impactful solutions. Seeking opportunities to grow professionally and contribute meaningfully in dynamic tech environments.
Core Focus
Areas where I apply engineering discipline + AI research to ship useful products.
Applied AI
Deploying CV & LLM features into production‑style web apps.
Robust Systems
Alerting, persistence & modular architecture for reliability.
Rapid Iteration
Fast MVP cycles, measuring impact, refining UX.
Technical Skills
A broad tooling spectrum across programming, web stacks, ML workflows, and platforms.
Programming
Web Development
AI / ML
Tools & Platforms
Projects
Selected builds pairing AI/ML with performant full‑stack patterns.
Intruder Detection System
Feb 2024 – May 2025Intelligent intruder detection using FastAPI, HTML & SQL. A CNN face recognition model compares embeddings, triggers real-time Twilio SMS & email alerts (with intruder image PDF), supports user registration/deletion and persistent monitoring.
Face Recognition Attendance System
Feb 2024 – Apr 2024Automated attendance (‘Click Check’) using facial recognition. ML + CV pipeline detects faces and marks attendance, removing inefficiencies of manual card/register systems.
Mental Health Chatbot
Jan 2025 – Apr 2025React.js, MongoDB & Ollama with fine‑tuned LLaMA 3.1. Provides empathetic AI support; securely stores chat history for private mental wellness conversations.
Traffic Sign Classification for Indian Roads
Sep 2024 – Jan 2025CNN-based classifier for Indian traffic signs under varied lighting, angles, distances—enhances self-driving vehicle decision accuracy & safety.
Education
Academic background & performance.
B.Tech – Artificial Intelligence & Machine Learning
Malla Reddy University, Hyderabad
Senior Secondary (XII), MPC Stream
Senior Secondary (XII), MPC Stream
Percentage: 81.80%
Secondary (X)
Don Bosco High School
CGPA: 9.8
Training & Certifications
Formal coursework & structured learning tracks enhancing cloud, data, and AI competencies.
Amazon Web Services
Feb 2025 – Apr 2025- Cloud Essentials
- Cloud Acquisition
- AWS Building and Cost Management
- Cloud Practitioner
- AWS Academy Cloud Foundations
IBM
Mar 2024- Scalable Machine Learning on Big Data using Apache Spark
- Introduction to Data Analytics
- Introduction to Cyber Security and Cyber Attacks
- Fundamentals of Scalable Data Science
- AI Workflow: Business Priorities and Data Ingestion
Microsoft
Aug 2024 – Sep 2024- Exploring Generative AI with Copilot in Bing
- Getting Started Building with PowerBI
Other
2023 – 2024- Programming for Everybody (Getting Started with Python) – University of Michigan (Oct 2023)
- AI for Everyone – DeepLearning.AI (Mar 2024)
Activities
Hands-on bootcamps & simulation experiences that refined practical skill.
7‑day ML Bootcamp (GDSC + TensorFlow User Group Hyderabad)
Covered ML basics, model building, TensorFlow applications via hands-on labs & projects—strengthened practical ML foundation.
Virtual Job Simulation – Deloitte (June 2025)
Practical tasks in coding & development, debugging programs, optimizing efficiency, and reducing complexity as part of a structured simulation.
Let’s collaborate.
Open to internships, freelance builds, research collaboration, and product prototyping.