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AI Engineer with less than a year in Machine Learning & Python
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Results-driven Computer Science Engineering graduate specializing in Artificial Intelligence and Machine Learning, with hands-on experience building intelligent systems using Python, OpenCV, and Flask. Seeking an entry-level role in software development or AI/ML where I can apply my expertise in machine learning, facial recognition, and data analysis to deliver impactful, real-world solutions while continuously advancing my technical skill set.
Jyothishmathi Institute of Technology and Science, JNTUH
Bachelor of Technology (B.Tech) · Computer Science & Engineering (AI & ML)
August 1, 2021 – June 30, 2025
SR Junior College
Intermediate (MPC)
N/A – Present
ShopSphere - E-Commerce Web Application
June 1, 2025 – June 1, 2026
Developed a full-featured e-commerce platform with secure user authentication, enabling seamless registration, login, and session management for shoppers. Implemented dynamic product listing and search functionality, allowing users to browse, filter, and discover products efficiently across multiple categories. Built a complete cart and checkout system with order management, ensuring a smooth end-to-end shopping experience for users. Designed a comprehensive admin dashboard to manage products, inventory, orders, and users, streamlining store operations through Django's admin framework.
AI-Powered Voting System with Facial Recognition
June 1, 2025 – June 1, 2026
Designed and developed a secure, intelligent voting system that authenticates voters in real time using facial recognition, eliminating the risk of identity fraud. Integrated machine learning algorithms achieving high-accuracy identity verification, significantly reducing fraudulent voting attempts in test scenarios. Built a full-stack solution with Flask for backend management and OpenCV for live face detection, ensuring seamless end-to-end data flow.
Dynamic Gesture-Controlled Presentation System
June 1, 2025 – June 1, 2026
Designed and built an interactive presentation system that replaces traditional controls with real-time gesture and motion recognition, boosting audience engagement. Implemented camera-based motion tracking using OpenCV and MediaPipe to detect presenter hand gestures and trigger slide transitions with minimal latency. Demonstrated improved presenter mobility and audience interaction, validating the system's effectiveness in live demonstration sessions.
Python for Data Science
IBM
February 1, 2026 – Present
Python Mobile App Development
Udemy
January 1, 2026 – Present
GenAI-Powered Data Analytics Virtual Experience
Forage
January 1, 2025 – Present
Python with Data Structures
Codetantra
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate an interest in applying AI/ML to practical problems (e.g., secure voting, interactive presentations). The diversity of projects, including an e-commerce platform, shows a breadth of technical interest beyond pure AI/ML, which can be beneficial for cross-functional collaboration. However, without professional experience or team-based project details, assessing cultural fit beyond basic alignment with technical curiosity is challenging.
Soft Skills & Operational Fit
The candidate lists problem-solving, team collaboration, communication, adaptability, and time management as soft skills. While these are valuable, there is no evidence from completed tests or work experience to validate these claims. The academic projects suggest an ability to work independently on defined problems. Operational fit for a senior role is limited due to lack of professional experience.