Taranjyot Singh
@taranjyotsingh
I build cloud-native backend platforms and reliable AI evaluation workflows with Python, FastAPI, AWS, and Kubernetes.
What I'm looking for
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
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.
Evaluated AI-assisted application tasks across prompts, generated solutions, feature behavior, and response quality. Identified hallucinations and gaps between requested and actual functionality, documenting outcomes and applying structured evaluation criteria.
Evaluated production-oriented LLM and agent workflows across multi-step reasoning, retrieval, tool usage, factual grounding, safety, and response quality. Built Python-based analysis and validation workflows for structured LLM outputs, prompt evaluation, QA automation, and AI-generated data processing.
Evaluated LLM and agent outputs across coding, reasoning, instruction following, tool selection, and context management using structured evaluation criteria. Developed Python-based workflows for prompt evaluation, structured-output validation, data analysis, and QA of AI-generated responses.
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.
Software Development Engineer
Solūt
Feb 2022 - May 2022 (3 months)
Built and maintained a Flask financial services platform supporting transaction processing, analytics, and 1M+ secure records. Developed reporting pipelines, integrated MongoDB, Azure Database, AWS Lambda, MySQL, Docker/Kubernetes, React, and Pytest, and translated business requirements into scalable backend features.
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
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
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.
Tech stack
Software and tools used professionally
Postman
SAS
GitHub
Bitbucket
Jenkins
GitHub Actions
NumPy
Pandas
MySQL
PostgreSQL
MongoDB
Django
.NET
Databricks
OpenCV
Redis
Terraform
Jira
JavaScript
Python
TensorFlow
PyTorch
MLflow
FastAPI
Grafana
Linux
Gemini
Elasticsearch
WordPress
AWS Lambda
Serverless
TypeScript
pytest
GuardRails
s3-lambda
SQL
Ollama
Pydantic
Guardrails AI
Bash
Agentic
Stack AI
Matrix
ChatGPT
Android
Availability
Location
Portfolio
portfolio-taranjyot-singh.vercel.appSalary expectations
Job categories
Skills
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