STATUS: AVAILABLE FOR WORK
tune
DEV_MODE
System_Overview.sh

Hello, World_

Abuthwahir H M

B.Tech CSE student at PES University, focused on machine learning and full-stack development. Building practical AI-driven applications using real-world data.

Profile

Technological_Stack

core.json

Core Setup

C++ C Python Flask MongoDB Express React Node.js HTML5 CSS3 JS MySQL Git Linux Streamlit Docker
learning_curve.sh

Exploration

Kubernetes AWS Neo4j Java Go Kotlin Kafka (Beginner)
ml.py

ML Stack

Scikit-learn Pandas NumPy Matplotlib XGBoost SHAP Seaborn

Experience

/var/log/experience

Research Intern

Jan, 2026 – Present

CCBD / CDSAML, PES University

(Centre for Cloud Computing & Big Data & Centre for Data Science & Applied Machine Learning)

Currently working as a CCBD intern, assisting faculty in ongoing academic and research activities, and actively conducting machine learning research, including independently writing research papers.

Gaining hands-on experience with real-world datasets, focusing on data preprocessing, model development, and building reproducible experiments.

/var/log/experience

Teaching Assistant

Jan, 2026 – Present

OOAD Lab, PES University

Assisting students in Object-Oriented Analysis and Design labs, guiding implementation of concepts, resolving doubts, and supporting lab evaluations.

Deployment_Vault

diabetes_pima.py
Type 2 Diabetes Risk (PIMA)

Type 2 Diabetes Risk (PIMA)

PythonScikit-learnXGBoost
diabetes_pima.py

Machine learning-based diabetes risk prediction system using real-world dataset with multiple models and evaluation.

deployed
yt_analyzer.js
YouTube Video Analyzer

YouTube Video Analyzer

ReactNode.jsAI APIsChrome Extension
yt_analyzer.js

Chrome extension to analyze YouTube videos and generate insights directly on the video page.

production
ai_coach.py
AI Interview Coach

AI Interview Coach

PythonLangChainGroq APIStreamlitRAGLLMNLP
ai_coach.py

Adaptive multi-turn interview simulation platform using LangChain, Groq, and Streamlit to simulate real technical interviews with memory, structured evaluation, and adaptive difficulty.

- Multi-turn interview flow with conversational memory
- Structured evaluation (score, strengths, improvements)
- Adaptive difficulty progression
- RAG-based job-aware question generation
- CLI + Streamlit interface
- Final performance report with transcript

deployed
theatre_sys.sql
Theatre Management

Theatre Management

FlaskSQLAlchemy
theatre_sys.sql

Full-stack theatre booking system with real-time seat management and admin controls.

stable
task_mgr.java
Task Management System

Task Management System using Spring Boot

Spring BootJava
task_mgr.java

Backend-driven task management system with structured APIs and workflow handling.

stable
domain_svc.py
Domain Predictor

Top Level Domain Predictor Game

FlaskMachine Learning
domain_svc.py

Machine learning application to predict domain extensions using text-based features.

optimized
nhanes_xai.py
Diabetes Risk (NHANES+XAI)

Type 2 Diabetes (T2DM) Risk Assessment (NHANES+SHAP)

PythonSHAPXGBoost
nhanes_xai.py

Advanced ML project using NHANES dataset with Explainable AI for model interpretation.
(Will be made public soon)

private
finance_dashboard.py
Analysis Dashboard (Capstone)

Multimodal Stock Market Analysis Dashboard (Capstone)

Data AnalysisVisualization
finance_dashboard.py

Capstone project focused on financial data analysis and visualization.
(Pending publication)

private
gtg_perfumes.html
GTG Perfumes

GTG Perfumes Design using Figma

HTMLCSSJavaScript
gtg_perfumes.html

Frontend project replicating a Figma design into a responsive website.

deployed

EDUCATION_LOG

university.edu
school

PES University

B.Tech in Computer Science Engineering (CSE)

2022 – 2026
(Final semester pending, CGPA subject to update)

Metrics

CGPA: 7.9

SGPA (Latest): 9.5

college.edu
account_balance

Vivekananda PU College

PCMB (Physics, Chemistry, Math, Biology)

Class XII

Metrics

Aggregate: 94%

school.edu
workspace_premium

Shanthinikethan School

Secondary School

Metrics

Aggregate: 94.24%

CONNECT

hire_me.sh

TRANSMISSION_PANEL