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Technical Blog

Systems thinking, model evaluation, and build notes from applied ML work.

Research paper

Reproducible Urban Heat Island modeling for Bengaluru

A Distill-style article adapted from the paper, with spatial leakage control, two-level validation, SHAP interpretability, seasonal UHI tables, and the original PDF.

Open research article
10.2M aligned samples 164 spatial tiles 3.31 K hold-out RMSE 0.554 hold-out R2 1.97 K UHI intensity

Attribution sketch

Token evidence flowing through feature groups

A lightweight SVG graph for posts about model behavior: prompt tokens at the base, feature groups in the middle, and the target decision at the top.

image mask edge boundary feature shape cue terrain prior safe path

Benchmark surface

Accuracy vs latency

Pipeline trace

Data to deployment

01 dataset audit 02 augmentation test 03 eval harness 04 edge profile 05 release gate
1 min read

Evaluating SegFormer on Edge Devices: A 3-Month Study

Semantic Segmentation Edge Deployment

Benchmarking SegFormer variants (B0-B5) on NVIDIA Jetson Nano and comparing inference latency vs. mIoU. Key findings on quantization strategies and memory bandwidth bottlenecks.

Read Analysis
1 min read

Building a Reliable ML Pipeline with DVC and FastAPI

MLOps Data Versioning

How we achieved reproducible experiments and zero-downtime model updates using DVC for versioning, FastAPI for serving, and Prometheus for observability.

Read Analysis
1 min read

Error Analysis: Why Our Object Detector Failed on Reflective Surfaces

Computer Vision Debugging

A deep dive into failure modes of YOLOv8 on glass and metallic surfaces. We trained a specialized augmentation pipeline and reduced false negatives by 34%.

Read Analysis
1 min read

Comparing Depth Estimation Models: MiDaS vs Depth Anything V2

Depth Estimation Benchmarks

Side-by-side evaluation of monocular depth models on real-world terrain navigation tasks. Depth Anything V2 showed superior edge preservation but higher latency.

Read Analysis

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