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Taranjyot SinghTS
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Taranjyot Singh

@taranjyotsingh

I build cloud-native backend platforms and reliable AI evaluation workflows with Python, FastAPI, AWS, and Kubernetes.

Canada
Message

What I'm looking for

I'm looking to build scalable backend platforms and production-ready AI systems, with opportunities to improve reliability, evaluation, security, testing, and cloud delivery.

Senior Software Engineer with 5+ years of combined experience across backend and platform engineering, AI evaluation, and project-based AI work. Specialized in Python, FastAPI, AWS, Docker, Kubernetes, CI/CD, distributed systems, and scalable software architecture, with recent experience across LLM evaluation, RAG, agentic workflows, prompt engineering, data engineering, and AI reliability. Strong background delivering reusable enterprise backend services and cloud-native platforms with an emphasis on scalability, testing, security, and production readiness.

Experience

Work history, roles, and key accomplishments

Alignerr logoAL
Current

Senior AI Software Evaluation Contractor

Apr 2026 - Present (6 months)

Evaluated repository-based engineering tasks across debugging, root-cause analysis, testing, and reliability, documenting evidence-based model preference decisions. Assessed AI-generated code and software-engineering approaches against project-specific rubrics, correctness criteria, and quality requirements.

AN

Software Development Engineer

Jun 2022 - May 2024 (1 year 11 months)

Built and deployed Python/FastAPI microservices on AWS using Docker and Kubernetes, improving deployment consistency and supporting scalable backend capabilities. Led a CI/CD initiative within a 5-engineer team, implementing Jenkins-based automated testing and deployment and integrating Bandit security scanning.

KT

Software Development Intern

Kyrion Technologies

May 2018 - Dec 2018 (7 months)

Developed an AI-based digit recognition system using OpenCV, achieving 90% accuracy. Built and trained a handwritten-digit recognition pipeline on 500 samples with TensorFlow and PyTorch models for real-time prediction experiments.

Education

Degrees, certifications, and relevant coursework

Concordia University logoCU

Concordia University

Master of Engineering, Quality Systems Engineering

Grade: 3.3/4.3

Master of Engineering in Quality Systems Engineering from Concordia University.

Guru Gobind Singh Indraprastha University logoGU

Guru Gobind Singh Indraprastha University

Bachelor of Technology, Computer Science and Engineering

Grade: 7.8/9

Bachelor of Technology in Computer Science and Engineering from Guru Gobind Singh Indraprastha University, with First Division with Distinction.

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