Namaste, I'm Karlosh Yadav
Builder of data-driven, human-centered products
Incoming M.Tech student in Computer Science at IISc Bangalore and recent CSE graduate from VTU. I specialise in crafting responsive interfaces, translating messy datasets into insight, and shipping machine-learning features that people trust.
My honours thesis delivered a Heart Disease Prediction System powered by Python, SMOTE, and SHAP, and internships at Next24 Technology sharpened my product intuition. I’m eager to contribute across data, front-end, and full-stack teams where empathy and experimentation meet.
I’m Karlosh Yadav, a computer science graduate with a strong foundation in machine learning, data analysis, and software systems. I am currently pursuing an M.Tech in Computer Science and Engineering at IISc Bengaluru, driven by an interest in research-oriented problem solving.
My academic interests lie at the intersection of data-driven systems, interpretable machine learning, and scalable web technologies. I enjoy translating theoretical ideas into working systems through analytical models and interactive interfaces.
What drives me
Highlights
Indian Institute of Science, Bengaluru | GPA: 7/10
CMR Institute of Technology, Visvesvaraya Technological University | GPA: 8.75/10
United Academy, National Examination Board | GPA: 8.33/10
English Preparatory Secondary School, National Examination Board | GPA: 9.0/10
A snapshot of the teams and missions that have shaped how I build — from agile shipping sprints to research-driven explorations. Each role strengthened my empathy for users and the craft behind maintainable systems.
Next24 Technology Pvt Ltd, Bangalore
Embedded with the product team to level-up the company’s SaaS dashboards and marketing sites.
Visvesvaraya Technological University
Led a crop recommendation system that matches soil profiles with profitable yield suggestions.
Hybrid ML workflow that blends SMOTE balancing, SHAP explanations, and Grid Search tuning to support clinical risk decisions.
Features:
SMOTE-powered dataset balancing
Explainability with SHAP values
Grid Search CV for optimal model selection
Predictive model for stock price movement using Markov Chain probabilistic modelling to analyse state transitions from historical market data.
Features:
Markov Chain–based probabilistic modelling
State transition analysis from historical prices
Trend prediction using stochastic processes
Celebrating learning, service, and teamwork
Visvesvaraya Technological University
Recognised among the top performers during the fifth semester for consistent academic distinction and peer mentorship.
View CertificateVisvesvaraya Technological University
Coordinated logistics and volunteer outreach for a campus-wide blood donation initiative supporting local hospitals.
View CertificateVisvesvaraya Technological University
Led a student crew to organise pet nourishment drives, ensuring consistent supplies for local animal shelters.
Visvesvaraya Technological University
Represented college and district teams as an all-rounder, balancing athletics with full-time engineering studies.
View CertificateCMR Institute of Technology
Led international student initiatives, cultural exchanges, and academic collaborations while overseeing club operations.
CMR Institute of Technology
Managed documentation, coordinated technical events, and supported research-oriented student activities.
View CertificateCMR Institute of Technology
Acted as a liaison between faculty and students, ensuring effective communication and academic coordination.
View CertificateCoursera
Completed foundational training in machine learning concepts, applications, and real-world use cases.
View CertificateCoursera
Learned Linux system basics including file systems, commands, and environment configuration.
View CertificateUdemy
Introduced to DevOps principles including CI/CD, automation, and development workflows.
View CertificateLeetCode & Codeforces
Practiced data structures and algorithms extensively across competitive programming platforms.
Inter-College Tournaments
Active competitive chess player with an approximate rating of 1000.
View Certificate
Always game-ready
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