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class VishuKalier:
name = "Vishu Kalier"
location = "Meerut, India"
degree = "Integrated M.Tech (CSE + AI/ML) @ VIT"
cgpa = 9.33
currently = [
"Platform Engineer Intern @ Zomato (Eternal)",
"Building ELT pipelines over 100M+ records",
"Mastering Distributed Data Systems",
]
domains = [
"AI / ML / Deep Learning",
"Data Infrastructure & Analytics",
"Full Stack Web Development",
"Quantum Computing",
"Computer Vision & NLP",
]
achievement = "Top 1% LeetCode | Codeforces Expert | 1200+ Problems"π‘ Zomato (Eternal) β Platform Engineer Intern Β |Β Jan 2026 β Present Β |Β Gurugram, India
Data Infrastructure and Analytics Transformation Platform
- Architected migration of 100+ legacy SQL schemas into scalable dbt-based ELT pipelines orchestrated through 80+ Apache Airflow workflows for enterprise-scale analytics visualized in Grafana.
- Designed dimensional modeling and transformation layers across 100M+ records integrating Trino, StarRocks, and ClickHouse into DBT and Lightdash powered analytics ecosystems.
- Engineered automated data ingestion pipelines using Apache Pinot, reducing Airflow processing overhead by 40% through scalable, versioned transformation algorithms.
Stack: dbt Apache Airflow Apache Pinot Trino StarRocks ClickHouse Grafana Lightdash
π°οΈ ISRO β National Remote Sensing Centre, Software Engineering Intern Β |Β Sep 2024 β Oct 2024 Β |Β Hyderabad, India
Urban Solar Energy Output Estimation and Quantification
- Developed CV and deep learning pipelines using OpenCV, KerasCV, Transformer models, HED, and YOLO architectures across 10k+ satellite imagery datasets spanning 10 metropolitan regions.
- Evaluated ensemble-based predictive detection models with 93% accuracy and presented analytical findings to the Director, Chairman, and senior NRSC research leadership.
Stack: Python OpenCV KerasCV YOLO HED TensorFlow Satellite Imagery
π Omdena β Chapter Lead (Berlin) Β |Β Mar 2023 β Jun 2024 Β |Β Remote
Extreme Weather Forecasting and Time-Series Analytics
- Led cross-country collaboration architecting large-scale preprocessing workflows on 1M+ climate records using Pandas and NumPy pipelines.
- Directed development of forecasting systems using LSTM, U-Net, and Fourier Neural Operator architectures for 14-day weather prediction tasks.
Stack: Python LSTM U-Net Fourier Neural Operators Pandas NumPy
NLP-driven recruitment intelligence with end-to-end automation
- Built NLP-driven resume parsing and workflow automation services using Node.js, spaCy, and Google Docs API for scalable candidate profiling and analytics pipelines.
- Engineered automated reporting and data visualization workflows integrating AWS QuickSight and Tableau dashboards across distributed task management systems.
Stack: Node.js spaCy NLP AWS QuickSight Tableau Google Docs API
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
β π₯ Top 1% on LeetCode β
β β‘ Expert Rating on Codeforces β
β π 1200+ DSA Problems Solved across platforms β
β π°οΈ Research presented to ISRO NRSC Director & Chairman β
β π CGPA: 9.33 / 10 β Integrated M.Tech, VIT β
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
| Domain | Focus |
|---|---|
| π§ Deep Learning | CNNs, LSTMs, Transformers, U-Net, FNO |
| ποΈ Computer Vision | YOLO, HED, KerasCV, Image Segmentation |
| π NLP | spaCy, NLTK, Named Entity Recognition |
| βοΈ Data Infrastructure | ELT/ETL, Data Lakehouses, Distributed Systems |
| βοΈ Quantum Computing | Q#, Qiskit, Quantum Algorithms |
| π¦οΈ Climate AI | Weather Forecasting, Time-Series Analytics |
| π°οΈ Remote Sensing | Satellite Imagery, Solar Energy Quantification |



