Devkumar
Engineering Postmortems

Case Studies

Deep dives into ML projects — what I built, what broke, and what I learned. No polish, just honest engineering.

3 case studies•4 domains
Protein Secondary Structure Prediction (BiRNN-CRF)
Machine LearningDeep Learning
Case Study

Protein Secondary Structure Prediction (BiRNN-CRF)

Building and debugging a BiRNN-CRF model for Q8/Q3 protein secondary structure prediction under Kaggle compute and inference constraints.

Sequence ModelingPyTorch LightningCRF+1
Dec 2025
3 min read
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Face Recognition Attendance System
Machine LearningComputer Vision
Case Study

Face Recognition Attendance System

Engineering a production-grade face recognition pipeline using InsightFace embeddings and cosine similarity — no model training at deployment time.

Face RecognitionInsightFaceApplied ML
Sep 2025
3 min read
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Multi-Task CNN for Age & Gender Prediction
Deep LearningComputer Vision
Case Study

Multi-Task CNN for Age & Gender Prediction

Comparing ResNet18, EfficientNet-B0, and ConvNeXt-Tiny for simultaneous age regression and gender classification. Kaggle harmonic score: 0.821.

Multi-Task LearningPyTorchConvNeXt+1
Feb 2025
3 min read
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Devkumar Patel

Building scalable machine learning systems, retrieval-augmented generation (RAG) pipelines, and end-to-end ETL workflows. Pursuing a dual-degree path — B.Tech in Computer Engineering at LDRP-ITR and a Diploma in Data Science from IIT Madras — to bridge engineering fundamentals with applied ML.

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