Arshpreet Bhatia
Senior Software Engineer at PostQode
Hyderabad, Telangana, India
Summary
👤
Senior🎓
Top SchoolArshpreet Bhatia is a Senior Software Engineer with 12 years of experience specializing in full-stack development, systems design, and GenAI-driven automation across FinTech, Manufacturing, and Insurance domains. He combines deep Java/Spring and database expertise with modern front-end skills (React/Angular) to build scalable, event-driven microservices and payment platforms that reduce fraud and accelerate onboarding. Notable achievements include a 90% API performance improvement via PL/pgSQL optimization, integrating GIACT for bank account validation, and architecting interchange-rate and retokenization services using SQS, Drools, Kafka, and Apache Camel. Currently at PostQode, he focuses on integrating LLMs, RAG, n8n and MCP to automate complex enterprise workflows—bringing conversational CRUD and intelligent automation into production. He is pragmatic about engineering practices, mentors peers on SOLID/design patterns and CI/CD, and has a rare blend of system integration, ML/AI POC experience and open-source contributions. Based in Hyderabad, he consistently turns complex requirements into auditable, production-ready solutions that bridge shop floor systems to enterprise automation.
12 years of coding experience
4 years of employment as a software developer
Bachelor of Engineering - BE, Computer Science, Bachelor of Engineering - BE, Computer Science at CHANDIGARH UNIVERSITY
Spanish, English, Hindi, Punjabi
Stackoverflow
709reputation
1.2mreached
17answers
9questions
Github Skills (200)
python10
deep-learning10
qiskit10
optimization10
qml10
quantum-computing10
automatic-differentiation10
pytorch10
quantum-chemistry10
machine-learning10
quantum-algorithms9
quantopian9
pythonic9
wandb9
neural-network9
Programming languages (10)
Github contributions (5)
arshpreetsingh/arshpreetsingh
Sep 2020 - Feb 2025
Contributions:6 pushes, 1 branch in 4 years 5 months
arshpreetsingh/pennylane
Aug 2021 - Apr 2023
PennyLane is a cross-platform Python library for differentiable programming of quantum computers. Train a quantum computer the same way as a neural network.
Contributions:8 PRs, 113 pushes in 1 year 8 months
python-librarydifferentiablepythondifferentiable-programmingquantum-computing
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