LITTY E P
AI EngineerAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI Engineer with less than a year in predictive modeling and full-stack web applications.
Results-driven and detail-oriented Machine Learning and AI enthusiast with hands-on experience in developing, optimizing, and deploying predictive models and full-stack web applications. Strong foundation in Python programming, data analysis, and modern AI frameworks with practical exposure to real-world dataset processing, feature engineering, and model evaluation. Experienced in building scalable ML-powered applications using Streamlit and deploying solutions on cloud platforms. Demonstrates strong analytical thinking, problem-solving abilities, and collaborative teamwork skills. Passionate about leveraging artificial intelligence, full-stack development, and data-driven solutions to solve complex business problems in dynamic IT environments.
A P J Abdul Kalam Technological University
Masters of Computer Application
August 1, 2024 – Present
University of Calicut
Bachelor of Science
August 1, 2021 – June 30, 2024
ICT Academy of Kerala
Machine Learning and AI Intern
June 1, 2025 – August 31, 2025
Kerala, India
IIT Palakkad Technology I-Hub Foundation
Fabrication Lab Intern
April 1, 2023 – April 30, 2023
Kerala, India
Football Player Performance Prediction & Comparison Web Application
June 24, 2026 – Present
Led the development of a machine learning-based web application to predict and compare football player performance using real-world datasets. Performed data preprocessing, feature engineering, normalization, and exploratory data analysis (EDA) to enhance model accuracy. Built and optimized models including Random Forest, Artificial Neural Networks (ANN), and Stacking Ensemble methods. Designed interactive radar chart visualizations and comparative dashboards using Streamlit. Implemented intelligent search and dynamic user input modules to improve usability. Deployed the application on Hugging Face Spaces with real-time prediction capabilities. Utilized Git/GitHub for version control and collaborative development workflows.
SilentAid – Assistive Communication Web Application
June 24, 2026 – Present
Developed an accessible web application for non-verbal individuals using customizable digital communication cards. Integrated gesture-based interaction features to enhance accessibility and user engagement. Designed a responsive and cross-device compatible interface following accessibility best practices. Optimized front-end performance for lightweight and seamless operation.
CogniGrow
June 24, 2026 – Present
Developed a full-stack web application to assess and improve students' cognitive abilities through adaptive quizzes and performance analysis. Designed and implemented RESTful APIs using FastAPI for quiz management, user authentication, and result processing. Built a cognitive evaluation system to analyze skills such as Reasoning, Numerical Ability, Memory, Attention, Perception, and Processing Speed. Applied machine learning techniques to detect cognitive gaps and classify skill strengths and weaknesses. Implemented dynamic quiz generation and real-time evaluation with skill-wise scoring and feedback. Developed an interactive student dashboard with performance visualization, progress tracking, and multi-attempt analysis. Created an admin panel to manage quiz sets, monitor student performance, and control system operations. Designed and optimized database schema using SQLite and SQLAlchemy ORM for efficient data handling. Integrated behavioral metrics analysis (response time, guessing rate, thinking speed) for deeper learning insights. Implemented responsive UI using HTML, CSS, and JavaScript with dynamic content loading via APIs. Ensured smooth frontend-backend communication and handled concurrency issues in database operations. Utilized Git/GitHub for version control and structured development workflow.
Personal Portfolio Website
June 24, 2026 – Present
Designed and deployed a responsive portfolio website to showcase technical skills, projects, and achievements. Implemented structured layouts and optimized UI components to enhance professional digital presence.
Data Science - AI - Power BI
Luminar Technolab
May 1, 2026 – Present
Using AI to Create SQL and APEX Applications
Oracle Academy
April 1, 2026 – Present
PHP & MySQL Certification
EduPyramids, SINE IIT Bombay
September 1, 2025 – Present
HTML Certification
IIT Bombay – Spoken Tutorial
April 1, 2025 – Present
Programming in C Certification
IIT Bombay – Spoken Tutorial
February 1, 2025 – Present
NPTEL Elite Certification – Privacy & Security in Online Social Media
IIIT Hyderabad
January 1, 2025 – April 1, 2025
OpenAI GPT-3 for Developers
Online Certification
November 8, 2024 – Present
AI-First Software Engineering
Online Certification
November 8, 2024 – Present
Prompt Engineering
Online Certification
November 8, 2024 – Present
Introduction to OpenAI GPT Models
Online Certification
November 6, 2024 – Present
Introduction to Deep Learning
Online Certification
November 5, 2024 – Present
Introduction to Artificial Intelligence
Online Certification
October 30, 2024 – Present
Introduction to Natural Language Processing
Online Certification
October 30, 2024 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from football player performance prediction to assistive communication and cognitive assessment applications, indicates a broad interest in applying AI to various domains. Their active pursuit of numerous certifications in AI, ML, and related technologies shows a strong drive for continuous learning and alignment with an innovation-focused culture. The target role of 'AI Engineer' aligns well with their demonstrated skills and career trajectory, particularly their Machine Learning and AI internship.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical thinking, problem-solving abilities, and collaborative teamwork skills through project descriptions and internship experience. Their involvement in team projects and leadership roles (e.g., Team Captain in a workshop) suggests good operational fit and ability to work in dynamic environments. Technical communication is also highlighted as a skill.