Open to software & ML internshipsMumbai, India · --:-- IST
KartikVerma
Computer engineer. I buildglobes you steer by hand.chemistry labs you can't blow up.hospital systems that see shortages coming.models that explain their predictions.globes you steer by hand. chemistry labs you can't blow up. hospital systems that see shortages coming. models that explain their predictions.
Machine-learning projects from my internships, and the industrial system I built at JSW Steel.
Claidroid Technologies
Hospital Readmission Predictor
Predicts readmission risk for diabetic patients from 13 clinical features. Trained on 100K+ patient records, explained with SHAP, and wrapped in an analytics dashboard.
accuracy
85.2%
AUC-ROC
88.9%
XGBoost
SHAP
Streamlit
Pandas
Claidroid Technologies
College FAQ Chatbot
An NLP chatbot covering 75 intents. WordNet synonym augmentation expanded the training set to 3,200+ examples, and five classifier families were tuned with GridSearchCV.
test accuracy
92.7%
model families compared
5
scikit-learn
NLTK
Flask
JSW Steel
Roll Shop Management System
Digitises the lifecycle of steel-mill rolls, bearings and chocks across inventory, grinding, inspection, assembly and stand assignment, with validated Excel ingestion and audit trails.
Pick any skill to see exactly where I've used it in shipped work.
Languages
Web
AI & data
3D & XR
Data & infrastructure
04Experience
Where I've shipped
Three internships across heavy industry, machine learning and public infrastructure.
Jun 2025 – Jul 2025
JSW Steel
Software Developer Intern
On-site
Built the roll shop's asset-lifecycle system for a steel plant, from inventory and grinding to inspection, assembly and stand assignment.
Engineered a Flask + Oracle Database system spanning 16 modules and 42 REST routes to digitise the full industrial-asset lifecycle (inventory, grinding, inspection, assembly) across a 17-state roll-status workflow tracked over 12 relational tables.
Built an Excel ingestion pipeline enforcing 40-column schema validation and 26 required-field checks, with transactional rollback and full audit-trail backups on every submission, plus business-rule validation (6-roll-per-stand capacity limits, duplicate-type position checks) for stand assignment.
Flask
Oracle Database
SQL
Pandas
C
Dec 2024 – Jan 2025 · Jun 2025 – Jul 2025
Claidroid Technologies
Machine Learning Intern
Remote · two virtual internships
Two virtual internships, each shipping a complete machine-learning project from data to interface.
Internship 1
College FAQ chatbot
A 75-intent NLP classifier. WordNet synonym augmentation grew the training set to 3,200+ examples, and five classifier families were tuned with GridSearchCV.
test accuracy
92.7%
intents
75
Internship 2
Hospital readmission predictor
An XGBoost risk model trained on 100K+ patient records and 13 clinical features, explained with SHAP and wrapped in a Streamlit analytics dashboard.
accuracy
85.2%
AUC-ROC
88.9%
scikit-learn
NLTK
Flask
XGBoost
SHAP
Streamlit
Jul 2024 – Aug 2024
Central Railway
Technical Intern
On-site
Worked alongside the engineering teams behind Mumbai's suburban EMU network.
Studied Mumbai's EMU railway operations, maintenance workflows, hardware infrastructure and safety protocols alongside engineering teams, building a working understanding of large-scale industrial systems.
I'm Kartik, a Computer Engineering student at K. J. Somaiya Institute of Technology in Mumbai, specialising in AI and machine learning. I like building software people interact with physically: hands in front of a webcam, controllers in a VR lab, staff on a hospital floor.
I care about owning the whole system (the interface, the API, the data model and the model behind the prediction) and about proving it works with real numbers rather than adjectives.
Away from the keyboard I play squash, and represented KJSIT and the University of Mumbai at the All India University Matches. I also play chess and badminton, and travel whenever I can.
Based in
Mumbai, India
Studying
B.Tech, Computer Engineering
Graduating
July 2027
Squash
Chess
Badminton
Travelling
08Contact
Have something worth building?
I'm looking for software engineering and machine-learning internships. Email is the fastest way to reach me.