ML Engineer
I'm a passionate developer building real-world web applications, AI-based systems, and dashboards that solve meaningful problems and create impact.
Know Who I Am
Engineering Intelligent Systems
with Data and Machine Learning
Driven by a passion for Machine Learning and intelligent systems, I build data-driven solutions that transform complex information into practical applications. From developing ML-powered mentor matching platforms to creating real-time system monitoring dashboards, I enjoy solving meaningful problems through code. Recognized with a Bronze Badge on CodeChef and Silver in Python on HackerRank, I continuously strive to improve my technical skills and build impactful technology.
More About Me
Skills
Technical Skills
Hover to explore my technical stack
Languages
AI & ML
Web Dev & APIs
Tools & Core
Soft Skills
Hover to explore my professional traits
My Projects
Online Mentor Platform
An ML-powered mentor–mentee matching platform built with Python. Developed using Exploratory Data Analysis (EDA) to reduce data preprocessing time by 18%. Built a clustering-based recommendation model that analyzes user interests, skills, and expertise to improve match accuracy by approximately 20%. Implemented K-Means clustering, TF-IDF vectorization, and robust data preprocessing pipelines, then integrated the model into an interactive web application using Streamlit — improving user interaction efficiency by 30%.
Real-Time Process Monitoring Dashboard
A real-time system monitoring dashboard that displays live process states, CPU load, and memory usage — enabling administrators to detect issues 30% faster. Designed a cross-platform graphical user interface in Python using Tkinter, integrating modules like time, os, and psutil for seamless system monitoring. Optimized dashboard performance by 10% through efficient process filtering, configurable refresh rates, and time-series tracking for improved responsiveness and user experience.
Emotion-Based Music Recommender System
A real-time emotion-based music recommendation system built with Python. Leveraged MediaPipe to extract 468 facial landmarks and applied PCA (Principal Component Analysis) to reduce feature dimensionality by 85%, improving classification speed. Built a K-Means clustering model to classify emotions across 5 categories — Happy, Sad, Energetic, Calm, and Neutral — achieving approximately 15% higher accuracy through personalized training data. Implemented smooth emotion buffering to reduce false detections by 25%, enabling stable, real-time music recommendations matched to the user's current mood.
Certificates
Advanced Computer Networks
TCP/IP, Routing, Congestion Control, Network Security
Personality Development Essential Training
Professional Etiquette, Personality Development, Communication Skills
Achievements
Bronze Badge on CodeChef
Recognized for continuous growth, consistent performance, and problem-solving skills on the CodeChef platform.
Silver in Python on HackerRank
Demonstrated strong proficiency in Python programming through solving complex algorithmic challenges.
My Journey So Far
Algotutor (LPU Winter PEP Training)
Comprehensive training covering Python fundamentals (functions, conditional statements, exception handling, OOP), followed by full-stack web development with Django and REST APIs. Gained hands-on experience with CI/CD using GitHub Actions, containerization with Docker, and cloud computing concepts. Built and deployed multiple real-world applications throughout the program.
Allsoft Solutions (Partnered with IBM)
Performed Exploratory Data Analysis (EDA) using NumPy and Pandas, reducing data preprocessing time by 15%. Developed, trained, and evaluated ML models — including Linear Regression, Decision Trees, K-Means, and Ensemble Methods using Scikit-learn, achieving a 10% improvement in model accuracy. Applied feature engineering techniques that enhanced predictive model performance by 20%.
My Education
Lovely Professional University
Currently pursuing my Bachelor's degree with a focus on core computer science subjects, data structures, and algorithms. Maintaining a strong academic record with a current CGPA of 8.18.
Kisan College
Completed my Higher Secondary education in Science stream. Secured 76.6% in the final board examinations.
Prerna Punj Public School
Completed my secondary education with a focus on foundational subjects. Secured 79% in the final board examinations.
Latest Articles
My Full Stack Journey: From Python Basics to Cloud Deployment
During my Winter PEP training at LPU with Algotutor, I embarked on a comprehensive journey through the Python full-stack ecosystem. Starting with core Python concepts - functions, OOP, exception handling - I quickly progressed to building web applications with Django, creating REST APIs, setting up CI/CD pipelines with GitHub Actions, and containerizing applications with Docker. The most rewarding part was seeing how all these pieces fit together: writing clean Python code, structuring it into a Django project, exposing it via …
Read MoreWhat I Learned During My AI & ML Industry Training with IBM
This summer, I had the incredible opportunity to undergo an industry training program in Artificial Intelligence and Machine Learning at Allsoft Solutions, partnered with IBM. Over two intensive months, I went from understanding basic data preprocessing to building and evaluating full machine learning models. I performed EDA using NumPy and Pandas, trained models like Linear Regression, Decision Trees, K-Means, and Ensemble Methods with Scikit-learn, and applied feature engineering to boost model performance by 20%. This experience gave me a solid …
Read MoreContact Me
Let's work together!
Have a project in mind or just want to say hi? Feel free to reach out. I'd love to hear from you!