Machine Learning
Finding useful patterns in complex data, then testing how well they hold up.
Computer Science Student · Thapar University
Where Ideas Meet
Creativity.
I'm a Computer Science Engineering student at Thapar University, passionate about machine learning, computer vision, and software development. I enjoy building intelligent systems, exploring new technologies, and solving real-world problems through research and engineering.
Computer Vision
Building ways for machines to measure, interpret, and learn from visual signals.
Thoughtful Software
Pairing careful engineering with experiences that feel clear and useful.
Thoughtfully curious · Always learning · Patiala, India
A little room to think.
01 / A little about me
Curiosity is where
good work begins.
Computer Science Engineering student at Thapar University, Patiala. I like asking how things work—and finding careful, practical ways to make them work better.
I approach engineering with curiosity, combining research, experimentation, and software development to solve meaningful problems. From analysing complex physical systems to building intelligent models and practical applications, I value ideas that are rigorously tested and thoughtfully built. I believe good engineering is not just about making things work, but understanding why they work.
9.49CGPA / 10.00
Computer Science
Computer Science
02 / Selected work
A few things I’ve
been thinking through.
Vision-based powder flow optimization
Developed an end-to-end vision pipeline to analyze 36 directed energy deposition experiments. Extracted 15 physically motivated features using mass-weighted edge detection, dense optical flow, and FFT-based periodicity analysis.
Combined PCA-filtered TOPSIS, AHP, entropy weighting, and MOORA to rank conditions. Cross-method Spearman correlations exceeded 0.7, with 100% top-5 stability in a 500-trial sensitivity analysis. Top conditions were physically validated across three spot-diameter zones; manuscript in preparation.
Aircraft engine predictive maintenance
Built a leakage-free RUL pipeline on NASA C-MAPSS using LSTM and Transformer models; reached RMSE 13.4 and 13.1 on FD001, a ~67% reduction over a mean-predictor baseline, with results averaged over 3 seeds and compared against Ridge and Random Forest.
Showed via ablation that positional encoding cuts Transformer RMSE from 15.9 to 12.9; trained an autoencoder on healthy engine states for anomaly detection (AUROC 0.76).
View project on GitHubAmazon supply chain intelligence
Built delivery-risk prediction models with feature engineering and SMOTE class balancing; compared Random Forest, XGBoost, and Logistic Regression.
Best-performing model reported 84.6% accuracy/F1-score.
Campus mobility platform
Developed a responsive, mobile-first carpooling interface for ride search, filtering, and sorting. Integrated REST APIs for creating, discovering, and joining rides, collaborating with backend developers.
View project on GitHub03 / The journey so far
A steady practice
of learning by doing.
2026RESEARCH INTERNSHIP
Research Intern Experiential Learning Centre (ELC)
Thapar Institute of Engineering & Technology
Studied vision-based parameter optimization for directed energy deposition of waste metallic particles. Developed the analysis pipeline, isolated a measurement confound with OLS-based deconfounding regression, and physically validated top-ranked conditions.
AUG 2024 — PRESENTUNDERGRADUATE EDUCATION
Computer Science Engineering Student
Thapar University, Patiala
CGPA: 9.49 / 10.00
2021 — 2024SCHOOL EDUCATION
Meritorious School, Jagraon
Class XII: 98.3% · Class X: 94.7%
04 / Beyond the classroom
Good things grow
together.
RECOGNITION
- ×2Full Merit Scholarship RecipientThapar Institute of Engineering & Technology
- 01Gold MedalInterTech Basketball Tournament · IIT Ropar
- 02Silver MedalInter-University Basketball Tournament · IIT Mandi
- ×2Gold MedalistURJA Sports Fest
LEADERSHIP & TEAMWORK
- 01Basketball CoordinatorURJA Sports Fest · Coordinated participants and event execution
- 02Technical HeadVIRSA Society · Led technical planning and cultural events
- 03Inter-university athleteRepresented TIET in basketball; contributed to medal-winning performances
MY EVERYDAY TOOLKIT
Languages
C++ · Python · JavaScript · SQL
ML & data
PyTorch · Scikit-learn · NumPy · Pandas · Matplotlib
Frameworks
React.js · Node.js · Express.js · MongoDB
Core CS & tools
Data Structures & Algorithms · OOP · DBMS · Operating Systems · Computer Networks · Git · GitHub · Docker · VS Code · Postman · Jupyter Notebook
05 / Let's make something useful
Good ideas are
better shared.
Have a research question, a project, or just want to say hello? I’d be glad to hear from you.
Write me an email