Open to Software / AI Engineer roles

DEEKSHA R

AI & Machine Learning Engineer
Full-Stack Developer

I build

Python✦TensorFlow✦PyTorch✦Computer Vision✦NLP✦Firebase✦Azure✦React✦Power BI✦Python✦TensorFlow✦PyTorch✦Computer Vision✦NLP✦Firebase✦Azure✦React✦Power BI✦

Career Objective

AI & Machine Learning Engineer with hands-on experience in AI application development, machine learning model deployment, CRM development, and digital marketing. Skilled in building and deploying full-stack AI solutions using Python, TensorFlow, and Firebase. Passionate about developing scalable AI products and seeking a Software Engineer / AI Engineer role to contribute to real-world applications.

Technical Skills

Python / ML92%
Deep Learning85%
Computer Vision80%
Full-Stack Web88%
Cloud & Firebase78%
Data Viz / Power BI75%

Languages

Python, SQL, JavaScript, HTML, CSS

Machine Learning & AI

TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy, Matplotlib, OpenCV, MediaPipe, NLP, Deep Learning, Computer Vision, Feature Engineering, Predictive Analytics

Cloud & Tools

Microsoft Azure, Firebase, Google Colab, Jupyter Notebook, Git, GitHub, REST APIs, Power BI, Android Studio

Web & Marketing

Responsive Web Design, REST API Integration, CRM Development, SEO, Social Media Marketing, Content Strategy

Soft Skills

Problem Solving, Analytical Thinking, Communication, Collaboration, Time Management

Work Experience

AI Developer & Digital Marketing

RK Developers, Bengaluru
Aug 2025 – Present
  • Built a Firebase-based CRM (ConnectAsetu) from the ground up, implementing authentication, real-time database updates, and full CRUD functionality; used daily by 20+ employees.
  • Developed a Python-based lead automation tool, reducing manual lead-management work by 5+ hours per week.
  • Managed SEO strategy, content creation, and social media marketing campaigns, improving website visibility and engagement.

Machine Learning Intern

Codsoft, Bengaluru
Aug – Sep 2025
  • Built and deployed a movie genre classification model using NLP and TF-IDF vectorization.
  • Developed a fraud detection model on transaction data, applying SMOTE to address class imbalance; both models deployed as live applications.

Web Content Uploading Intern

GAO Group, Bengaluru
Sep – Dec 2025
  • Organized and uploaded AI technical documentation for the R&D team, supporting digital asset management and information structuring.

Projects

AI-Powered CRM — ConnectAsetu

JavaScript, Firebase, REST APIs

Full-stack CRM with authentication, real-time database, and complete CRUD operations; actively used in daily business operations.

Sign Language Prediction

Python, TensorFlow, OpenCV, MediaPipe

Real-time computer vision application translating webcam-captured hand gestures into text using MediaPipe landmark detection.

ML Movie Genre & Fraud Detection

Python, Scikit-learn, NLP

Deployed a genre classification model (TF-IDF) and a fraud detection model (SMOTE) as public web applications.

Inventory Management Web App

HTML, CSS, JavaScript

Developed a responsive inventory management web application supporting full CRUD operations.

Education

B.E. – CSE (AI & Machine Learning)

Visvesvaraya Technological University – Vijaya Vittala Institute of Technology, Bengaluru

May 2026CGPA: 8.0 / 10

Relevant Coursework: Machine Learning, Deep Learning, Artificial Intelligence, Data Structures, DBMS, Operating Systems, Software Engineering

Certifications

Microsoft Azure

Microsoft

Aug 2025

Data Analysis with Power BI

Microsoft

Aug 2025

Machine Learning Internship

Codsoft

Sep 2025

Achievements & Activities

  • Maintained a CGPA of 8.0 while working full-time during final year.
  • Developed and deployed 5 real-world applications spanning AI, web development, and CRM development.
  • Built and maintain a CRM actively used in daily business operations.
  • Active participant in college hackathons and coding competitions; stays current with emerging AI/ML trends.

Languages

English, Hindi, Kannada, Telugu