Job Search Context

Profile

• Degree: Master’s (in progress)
• Target Market: North America (full-time)
• Target Roles: ML Engineer · Backend Engineer · Full-Stack · Embedded Systems
• Excluded: Pure research / paper-heavy ML roles

Personal Website — Skills Section (Final)

Languages        Python · C/C++ · Java · Go · C# · JavaScript · SQL · Scala · Bash

ML / AI          PyTorch · OpenCV · CUDA · HuggingFace · Pandas · Matplotlib

Embedded         C/C++ · RTOS · Verilog · VHDL · LabVIEW · Virtuoso

Web & Backend    Node.js · React · .NET · REST API · MongoDB · MySQL · Redis

Cloud & DevOps   AWS · Docker · Kubernetes · Linux · Git

Style: clean list, bold key skills, group by domain.

Per-Direction Resume Customization Notes

ML Engineer

• Highlight: PyTorch, CUDA, OpenCV, AWS, Docker, Kubernetes
• Add if possible: FastAPI/Flask, MLflow/W&B, HuggingFace Transformers
• Consider: AWS MLS-C01 certification

Backend Engineer

• Highlight: Go, Java, Python, .NET, Docker, Kubernetes, MySQL, MongoDB
• Add if possible: Redis, Kafka/RabbitMQ, gRPC
• Prep: system design interviews (URL shortener, feed ranking, etc.)

Full-Stack

• Highlight: JavaScript/TypeScript, React, Next.js, HTML/CSS, .NET, MongoDB
• Add if possible: React + TypeScript, Next.js, GraphQL
• Note: React is a gap — prioritize learning before applying

Embedded Systems

• Highlight: C/C++, Verilog, VHDL, LabVIEW, Virtuoso
• Add if possible: RTOS (FreeRTOS), embedded Linux, CAN/SPI/I2C protocols

Skills to Remove from Resume

Matlab · LaTeX · Markdown · Unity · Microsoft Office · R

These dilute positioning for software/ML/embedded roles in North America.

General Notes

• GitHub: maintain 2–3 projects per direction with README + demo
• Personal website intro line:

  “Seeking full-time roles in ML Engineering, Backend, Embedded Systems, or Full-Stack Development.”

• C/C++ intentionally appears in both Languages and Embedded — reinforces signal for different recruiters
• Add skills to website only after actually using them