Krithika Reddy Gaddam

About

Artificial Intelligence & Machine Learning student at CBIT with internship experience in technical design, marketing consulting, and real-estate research support. Builds ML, web, and content-driven solutions using Python, TensorFlow, Keras, OpenCV, and Power BI.

Experience

• Real Estate Investment Analyst Intern
  NestSeekers International (IAA, LLC) · New York, USA
  Jul 2026 – Present

  Created LinkedIn content, article pitches, speaker materials, and SEO content to improve online visibility and thought leadership across professional digital platforms. Designed the International Alliance Associates (IAA) Global Investment Letter and newsletter, researched companies and contacts for business and speaking opportunities, and assisted with outreach communications.

• Marketing Consultant
  Aftertaste-NGO · Hyderabad, India
  Jan 2026 – Mar 2026

  Created social media templates, an impact newsletter, and an email marketing template to promote artisan-made products and organisational initiatives, while collaborating with the team to improve outreach and online visibility.

• Technical Intern
  Divami Design Labs Pvt. Ltd. · Hyderabad, India
  Jun 2025 – Jul 2025

  Supported the design phase of a web-based attendance system, conducted requirement analysis, defined user roles and workflows, designed a 3-tier system architecture, created database schemas, and developed UI wireframes and a frontend prototype.

Education

• Bachelor of Engineering
  Chaithanya Bharati Institute of Technology (CBIT) · Osmania University
  Artificial Intelligence & Machine Learning · Sep 2023 – Jul 2027

Skills

• Digital Marketing <3 months
• Email Marketing <3 months
• Data Visualization 3 to 6 months
• Deep Learning 1 to 2 years
• Python 2 to 5 years
• Machine Learning 2 to 5 years
• Image Processing 1 to 2 years
• CNN (Convolutional Neural Network) <3 months
• SEO 3 to 6 months
• R <3 months
• Unity <3 months
• Newsletter Design 3 to 6 months
• Oop 6 to 12 months
• Newsletters 3 to 6 months

Tools / apps / platforms

• Canva <3 months
• Figma <3 months
• GitHub <3 months
• LinkedIn 3 to 6 months
• Microsoft Power BI <3 months
• MySQL <3 months

Projects

• Plant Disease and Pest Identification using ML & DL
  Python, TensorFlow, Keras, OpenCV, CNN, MobileNetV2

  Built a research-based model to identify plant diseases and pests from images using machine learning, deep learning, optimisation techniques, and image processing.

• Real-Time Environmental Sound Classification for Hearing-Impaired Users
  ML, Unity

  Built a real-time ML-based sound detection and classification pipeline that translates environmental audio events into intuitive visual cues through an interactive Unity-based interface.

Courses & certifications

• Business Analytics · TechnGlobal · 2026
• Google Digital Marketing And E-commerce · Coursera · 2026
• AI Web App · Hacktoberfest · 2025
• Machine Learning · Internshala · 2024

🏆 Achievements & awards

• CBIT-Inter Branch Cricket Competition Winner · 2026
• Amazon Hackathon Ranking · 2025

  Ranked 3,800 among 100,000 participants in Multimodal Price Prediction.

• CBIT Inter-Branch Badminton Competition Runner-up · 2025

  Runner-up among 50 participants.

⚽ Extracurricular activities

• Hacktoberfest Participant

  Participated at CBIT and developed an AI-powered podcast-style text-to-speech summarisation app.