I’m a Swift-first AI/ML and systems engineer building end-to-end platforms across server, web (WebAssembly), and embedded environments. I design type-safe backends, RAG pipelines, and UI systems aligned with Apple Human Interface Guidelines, with a strong focus on correctness, accessibility, and long-term maintainability. I’ve worked on production AI systems and shipped open-source Swift tooling, and I prefer projects that value engineering depth and thoughtful architecture.

Madhavik Dogra

I’m a Swift-first AI/ML and systems engineer building end-to-end platforms across server, web (WebAssembly), and embedded environments. I design type-safe backends, RAG pipelines, and UI systems aligned with Apple Human Interface Guidelines, with a strong focus on correctness, accessibility, and long-term maintainability. I’ve worked on production AI systems and shipped open-source Swift tooling, and I prefer projects that value engineering depth and thoughtful architecture.

Available to hire

I’m a Swift-first AI/ML and systems engineer building end-to-end platforms across server, web (WebAssembly), and embedded environments. I design type-safe backends, RAG pipelines, and UI systems aligned with Apple Human Interface Guidelines, with a strong focus on correctness, accessibility, and long-term maintainability. I’ve worked on production AI systems and shipped open-source Swift tooling, and I prefer projects that value engineering depth and thoughtful architecture.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
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Work Experience

Computer Vision Engineer at NAYAN
February 1, 2025 - April 1, 2025
Developed and deployed an anomaly-detection pipeline using a Variational Autoencoder to flag illegal license plates based on font and design irregularities. Built a vehicle and license-plate detection system using YOLOv12 with end-to-end OCR via EasyOCR. Achieved production evaluation metrics: AUC-ROC 96.42%, AUC-PR 95.90%, and F1 86.64%. Designed a multi-stage detector/tracker/classifier/counter for people using YOLO12x, BoostTrack++, and DeepFace to classify gender and age even when faces are not visible.

Education

B.Tech., Computer Science & Engineering, AI Specialization at Bennett University
January 11, 2030 - January 1, 2024

Qualifications

CS50x: CS50's Introduction to Computer Science
January 11, 2030 - January 3, 2026
CS50W: CS50's Web Programming with Python and JavaScript
January 11, 2030 - January 3, 2026
CS50AI: CS50's Introduction to Artificial Intelligence with Python
January 11, 2030 - January 3, 2026
Fundamentals of Deep Learning (NVIDIA DLI)
January 11, 2030 - January 3, 2026
Fundamentals of Accelerated Computing with CUDA Python (NVIDIA DLI)
January 11, 2030 - January 3, 2026
Building RAG Agents with LLMs (NVIDIA DLI)
January 11, 2030 - January 3, 2026
AWS Fundamentals Specialization (Coursera)
January 11, 2030 - January 3, 2026

Industry Experience

Software & Internet, Professional Services

Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
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