Open to opportunities

KAWALJEET SINGH

@kawaljeetsingh

Message

Backend-focused software engineer building applied AI and reliable, production-ready APIs.

Zimbabwe

Message

What I'm looking for

I’m looking for a backend or applied AI role where I can ship production APIs, integrate ML/computer vision models, and improve reliability with automation testing and scalable engineering practices, in a team that values learning and real impact.

I’m a software engineer focused on backend development and applied AI, delivering APIs and workflow modules across multiple platforms. I’ve built Playwright-based automation testing to cut manual regression effort across 10+ modules, and I’ve developed YOLO-based computer vision for CCTV water-spill detection and vehicle number-plate recognition.

As a Machine Learning Developer, I built and deployed a real-time camera-based attendance system, reducing manual check-in time by 100%. I also developed health and disease prediction models on structured clinical data, reaching 87%+ validation accuracy across 3 datasets, and I integrated deep learning inference into backend services for production-ready AI workflows.

Before that, I completed a Linux Security Internship where I performed Active Directory enumeration, privilege analysis, and security assessments using Nmap and BloodHound. I bring a hands-on, ship-and-improve mindset—supported by strong DSA and system design foundations, and leadership through AI/ML club workshops and peer learning.

Experience

Work history, roles, and key accomplishments

Current

Software Developer

Current

JRS Innovation

Jan 2026 - Present (5 months)

Designed and implemented backend APIs, workflow modules, and business features across 5 platforms. Improved application reliability by building Playwright-based automation testing workflows, reducing manual regression effort across 10+ platform modules.

Test Automation Playwright Computer Vision YOLO CCTV Water Spill Detection RESTful Services

Machine Learning Developer

ALC (Startup)

Aug 2025 - Oct 2025 (2 months)

Built and deployed a real-time camera-based attendance automation system, reducing manual check-in time by 100%. Developed health and disease prediction models on structured clinical data (87%+ validation accuracy) and integrated deep learning inference into backend services for production-ready AI workflows.

Machine Learning Deep Learning Backend

Linux Security Intern

CDAC

Jun 2024 - Jul 2024 (1 month)

Conducted Active Directory enumeration, privilege analysis, and security assessment across Windows environments. Performed user privilege auditing, network reconnaissance, and vulnerability identification using Nmap and BloodHound.

Security Assessments User Privilege Auditing Nmap BloodHound

Education

Degrees, certifications, and relevant coursework

Government Engineering College, Ajmer

Bachelor of Technology (B.Tech), Computer Science

2022 - 2026

Grade: GPA: 8.84/10

Activities and societies: Relevant coursework: Machine Learning, Deep Learning, Computer Vision, NLP, Data Structures. Projects: Vocalis-AI (audio emotion analysis), Alumni Portal (full-stack networking), Drone Communication Intelligence (NLP research).

Pursuing a B.Tech in Computer Science at Government Engineering College, Ajmer (2022–2026). Earned a GPA of 8.84/10 and completed coursework in machine learning, deep learning, and computer vision.