AI Engineer with 1+ years in NLP & Deep Learning
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Assessing your cultural and operational fit
Motivated Data Science student seeking opportunities in IT to apply analytical thinking, programming skills, and problem-solving abilities. Eager to contribute to real-world projects while continuously learning new technologies. Looking to grow in a dynamic environment where I can support data-driven and technical solutions.
Christ University
MSc · Data Science
August 1, 2024 – June 30, 2026
St. Francis College, Bangalore City University
Bachelor · Computer Applications
August 1, 2019 – June 30, 2022
Vishwa Chethana PU College
II PUC
June 1, 2017 – May 31, 2019
Government High School
SSLC
June 1, 2016 – May 31, 2017
Cliicxnet India Private Limited
AI/ML Engineer
February 1, 2026 – Present
India
Incubation center Christ University
Project Developer
January 1, 2026 – April 1, 2026
India
Infosys
AI/NLP Intern
September 1, 2025 – November 1, 2025
India
Exam Guard Pro Desktop Proctoring & Monitoring Application
June 18, 2026 – Present
Built a real-time desktop exam monitoring tool that tracks keyboard keystrokes, mouse clicks/scrolls, and captures auto screenshots at intervals, logging all events with timestamps into JSON and color-coded Excel reports. Implemented multi-threading for simultaneous task execution, global input hooks via pynput, suspicious activity detection (Alt+Tab, Ctrl+C, Win Key), system tray minimization using pystray/Pillow, and automated Gmail SMTP email delivery bundling JSON + Excel + screenshots as a zip attachment, packaged as a standalone .exe using PyInstaller.
Stampede Scene Detection with Chatbot assistant and Auto Report Generation
June 18, 2026 – Present
Performed exploratory data analysis on crowd movement patterns to identify anomalies and risk indicators. Enhanced machine and deep learning models OpenCV, YOLOv8, CNN, LSTM and T5 for report generation. Optimized model performance for higher 90% accuracy and Presented using dashboards and alert-based reporting.
Voice-Enabled Scientific Calculator
June 18, 2026 – Present
Built a desktop calculator app packaged as a standalone .exe with standard & scientific functions real-time voice input using the Web Speech API that parses spoken math expressions, and text-to-speech result output all wrapped in a native window using pywebview served over localhost. Implemented custom error handling (divide by zero, log of negative, tan undefined), calculation history, backspace & direct display editing, and resolved mic permission persistence by switching from file:// to localhost via PyInstaller bundling Sonnet 4.6.
Synthetic Multimodal Dementia Data set Generation
January 1, 2025 – December 31, 2025
Developed deep learning pipelines to generate and validate synthetic multimodal datasets 80% accuracy using Streamlit. Used CNN, MobileNet, and ResNet for classification and applied GAN and VAE models for synthetic MRI image generation.
HR Analytics Dashboard for Attrition Prediction
January 1, 2025 – December 31, 2025
Built interactive dashboards with filters and drill-downs to Identify employee attrition for early decision-making. Designed KPIs such as attrition rate by gender and department, total number of employees by age range and active employee count, Job satisfaction rating in Tableau.
RedStore - Shoe E-Commerce Website
January 1, 2024 – December 31, 2024
Built a responsive e-commerce front-end using HTML5, CSS3, and JavaScript with Featured Products, Latest Products, Sports Shoes banner sections, and MySQL via PHP for user registration/login with credential persistence. Designed a clean, mobile-friendly UI with full navigation (Home, Products, About, Contact, Account), product rating display, and shopping cart functionality following modern UX principles.
Car Zone - Pre-Owned Car Marketplace
January 1, 2022 – December 31, 2022
Built a full-stack car marketplace using Django (Python), HTML5, CSS3, JavaScript, and MySQL with user registration, session management, advanced search filters (model, location, year, fuel type, price range), normalized relational database schema, and Google/Facebook OAuth login. Developed Django MVT admin dashboard for CRUD operations on cars, users, and inquiries; delivered multi-image gallery with zoom, featured listings, contact/inquiry form, and user dashboard tracking inquiry history.
Hotel Reservation System
January 1, 2022 – December 31, 2022
Built an online hotel booking system using Core PHP, HTML5, CSS3, JavaScript, and MySQL with user registration, PHP sessions and cookies, room search, and normalized relational database schema for room availability and booking records. Implemented CRUD-based booking management, admin module for check-in/check-out operations, and automated transaction report generation, fully replacing manual reservation processes.
Python Programming
St. Francis College
June 18, 2026 – Present
AWS Cloud Computing
AWS Academy
June 18, 2026 – Present
Prathibha Puraskar (2)
Bamul Trust
June 18, 2026 – Present
JavaScript Essentials
Infosys Springboard
June 18, 2026 – Present
Full Stack Development
NICT
June 18, 2026 – Present
Muthoot Excellence Award
Unknown
June 18, 2026 – Present
Adaptive Deep Learning Image Compression with Test Time Optimization and Importance Guided Quantization
IJEETR
April 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from deep learning for scene detection and medical image generation to full-stack web development and desktop applications, indicates a broad interest and adaptability. The academic projects and internships align well with an AI Engineer role, demonstrating a proactive approach to learning and applying new technologies. The candidate's involvement in research publication also suggests a commitment to continuous learning and contributing to the field, which is a positive cultural fit for an innovative environment.
Soft Skills & Operational Fit
The candidate's resume highlights soft skills such as communication, problem-solving, analytical thinking, team collaboration, and decision-making. Project descriptions indicate an ability to work on end-to-end solutions and optimize performance, suggesting a good operational fit for roles requiring independent problem-solving and project ownership. However, without specific psychometric test results, a deeper assessment of stress handling and team collaboration is limited.